A survey of sequence alignment algorithms for next-generation sequencing
Open accessAbstract
Rapidly evolving sequencing technologies produce data on an unparalleled scale. A central challenge to the analysis of this data is sequence alignment, whereby sequence reads must be compared to a reference. A wide variety of alignment algorithms and software have been subsequently developed over the past two years. In this article, we will systematically review the current development of these algorithms and introduce their practical applications on different types of experimental data. We come to the conclusion that short-read alignment is no longer the bottleneck of data analyses. We also consider future development of alignment algorithms with respect to emerging long sequence reads and the prospect of cloud computing.
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High inter-site false positive DEG rates were observed across multiple analysis pipelines (WHAM, Mapsplice, Novoalign, Cufflinks, HTSeq), independent of pipeline or alignment method.
“When we examined the inter-site DEG false positive rates for several other analysis pipelines (WHAM34, Mapsplice35, Novoalign36, Cufflinks23, 37, 38 and HTSeq39) we found similarly high false positive rates, regardless of the analysis pipeline or read alignment methods used (Supplementary Fig. 1).”
From Detecting and correcting systematic variation in large-scale RNA sequencing data (2014) · cites this paper as [36]
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302 · see citing works
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
Self-citationFast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
Self-citationUltrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696 · see citing works
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063 · see citing works
Self-citationTopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,477 · see citing works
Identification of common molecular subsequences
Smith, T. F., & Waterman, M. S. (1981) · Journal of Molecular Biology · doi:10.1016/0022-2836(81)90087-5 · Cited by 9,962 · see citing works
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480 · see citing works
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066 · see citing works
Versatile and open software for comparing large genomes
Kurtz, S., Phillippy, A., Delcher, A. L., Smoot, M., Shumway, M., Antonescu, C., & Salzberg, S. L. (2004) · Genome Biology · doi:10.1186/gb-2004-5-2-r12 · Cited by 5,254 · see citing works
SOAP2: an improved ultrafast tool for short read alignment
Li, R., Yu, C., Li, Y., Lam, T., Yiu, S., Kristiansen, K., & Wang, J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp336 · Cited by 3,763 · see citing works
SOAP: Short oligonucleotide alignment program
Li, R., Li, Y., Kristiansen, K., & Wang, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn025 · Cited by 3,597 · see citing works
ABySS: A parallel assembler for short read sequence dataPreprint
Simpson, J. T., Wong, K., Jackman, S. D., Schein, J. E., Jones, S. J. M., & Birol, İ. (2009) · Genome Research · doi:10.1101/gr.089532.108 · Cited by 3,583 · see citing works
De novo assembly of human genomes with massively parallel short read sequencing
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., et al. (2010) · Genome Research · doi:10.1101/gr.097261.109 · Cited by 2,926 · cited 2× · see citing works
“Given a query AGC, for example, the path matching the query is [0, 6]! [3, 3]![5, 5]![1, 1].”
BackgroundMethodAutomated generation of heuristics for biological sequence comparison
Slater, G., & Birney, E. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-31 · Cited by 2,902 · see citing works
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638 · see citing works
Self-citationA guided tour to approximate string matching
Navarro, G. (2001) · ACM Computing Surveys · doi:10.1145/375360.375365 · Cited by 2,546 · see citing works
A Block-sorting Lossless Data Compression Algorithm
Burrows, M. T., & Wheeler, D. J. (1994) · Cited by 2,333 · see citing works
Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning
Cokus, S. J., Feng, S.-H., Zhang, X.-Y., Chen, Z., Merriman, B., Haudenschild, C., Pradhan, S., Nelson, S., Pellegrini, M., & Jacobsen, S. (2008) · Nature · doi:10.1038/nature06745 · Cited by 2,278 · see citing works
Suffix Arrays: A New Method for On-Line String Searches
Manber, U., & Myers, E. W. (1993) · SIAM Journal on Computing · doi:10.1137/0222058 · Cited by 1,915 · see citing works
Fast and SNP-tolerant detection of complex variants and splicing in short reads
Wu, T. D., & Nacu, S. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq057 · Cited by 1,894 · see citing works
An improved algorithm for matching biological sequences
Gotoh, O. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90398-9 · Cited by 1,726 · see citing works
BreakDancer: an algorithm for high-resolution mapping of genomic structural variation
Chen, K., Wallis, J. W., McLellan, M. D., Larson, D. E., Kalicki, J. M., Pohl, C. S., McGrath, S. D., Wendl, M. C., Zhang, Q., Locke, D. P., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1363 · Cited by 1,463 · see citing works
VarScan: variant detection in massively parallel sequencing of individual and pooled samples
Koboldt, D. C., Chen, K., Wylie, T., Larson, D. E., McLellan, M. D., Mardis, E. R., Weinstock, G. M., Wilson, R. K., & Ding, L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp373 · Cited by 1,351 · see citing works
Opportunistic data structures with applications
Ferragina, P., & Manzini, G. (2000) · Proceedings 41st Annual Symposium on Foundations of Computer Science · doi:10.1109/sfcs.2000.892127 · Cited by 1,325 · see citing works
BSMAP: whole genome bisulfite sequence MAPping program
Xi, Y., & Li, W. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-232 · Cited by 1,216 · see citing works
The Generic Genome Browser: A Building Block for a Model Organism System DatabasePreprint
Stein, L. D., Mungall, C., Shu, S., Caudy, M. A., Mangone, M., Day, A., Nickerson, E., Stajich, J., Harris, T. W., Arva, A., et al. (2002) · Genome Research · doi:10.1101/gr.403602 · Cited by 1,145 · see citing works
SSAHA: A Fast Search Method for Large DNA Databases
Ning, Z., Cox, A. J., & Mullikin, J. C. (2001) · Genome Research · doi:10.1101/gr.194201 · Cited by 965 · see citing works
AnO(ND) difference algorithm and its variations
Myers, E. W. (1986) · Algorithmica · doi:10.1007/bf01840446 · Cited by 909 · see citing works
PatternHunter: faster and more sensitive homology search
Ma, B., Tromp, J., & Li, M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.3.440 · Cited by 819 · see citing works
Replacing suffix trees with enhanced suffix arrays
Abouelhoda, M. I., Kurtz, S., & Ohlebusch, E. (2004) · Journal of Discrete Algorithms · doi:10.1016/s1570-8667(03)00065-0 · Cited by 676 · see citing works
Tablet-next generation sequence assembly visualization.
Milne, I., Bayer, M., Cardle, L., Shaw, P., Stephen, G., Wright, F., & Marshall, D. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp666 · Cited by 666 · see citing works
SHRiMP: Accurate Mapping of Short Color-space Reads
Rumble, S. M., Lacroute, P., Dalca, A. V., Fiume, M., Sidow, A., & Brudno, M. (2009) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1000386 · Cited by 639 · see citing works
CloudBurst: highly sensitive read mapping with MapReduce
Schatz, M. C. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp236 · Cited by 626 · see citing works
Computation for ChIP-seq and RNA-seq studies
Pepke, S., Wold, B. J., & Mortazavi, A. (2009) · Nature Methods · doi:10.1038/nmeth.1371 · Cited by 553 · see citing works
Fast Mapping of Short Sequences with Mismatches, Insertions and Deletions Using Index Structures
Hoffmann, S., Otto, C., Kurtz, S., Sharma, C. M., Khaitovich, P., Vogel, J., Stadler, P. F., & Hackermüller, J. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000502 · Cited by 535 · see citing works
BFAST: An Alignment Tool for Large Scale Genome Resequencing
Homer, N., Merriman, B., & Nelson, S. F. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007767 · Cited by 524 · see citing works
Self-citationSearching for SNPs with cloud computing
Langmead, B., Schatz, M. C., Lin, J., Pop, M., & Salzberg, S. L. (2009) · Genome biology · doi:10.1186/gb-2009-10-11-r134 · Cited by 485 · see citing works
SeqMap: mapping massive amount of oligonucleotides to the genome
Jiang, H., & Wong, W. H. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn429 · Cited by 468 · see citing works
Sequencing of natural strains of Arabidopsis thaliana with short readsPreprint
Ossowski, S., Schneeberger, K., Clark, R. M., Lanz, C., Warthmann, N., & Weigel, D. (2008) · Genome Research · doi:10.1101/gr.080200.108 · Cited by 465 · see citing works
Striped Smith–Waterman speeds database searches six times over other SIMD implementations
Farrar, M. S. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl582 · Cited by 417 · see citing works
The Smallest Automaton Recognizing the Subwords of a Text
Blumer, A., Blumer, J., Haussler, D., Ehrenfeucht, A., Chen, M.-T., & Seiferas, J. (1985) · Theoretical Computer Science · doi:10.1016/0304-3975(85)90157-4 · Cited by 379 · see citing works
Using quality scores and longer reads improves accuracy of Solexa read mapping
Smith, A. D., Xuan, Z., & Zhang, M. Q. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-128 · Cited by 374 · see citing works
Sense from sequence reads: methods for alignment and assembly
Flicek, P., & Birney, E. (2009) · Nature Methods · doi:10.1038/nmeth.1376 · Cited by 357 · see citing works
Building the sequence map of the human pan-genome
Li, R., Li, Y., Zheng, H., Luo, R., Zhu, H., Li, Q., Qian, W., Ren, Y., Tian, G., Li, J., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1596 · Cited by 260 · see citing works
ZOOM! Zillions of oligos mapped
Lin, H., Zhang, Z.-F., Zhang, M. Q., Ma, B., & Li, M. (2008) · Bioinform. · doi:10.1093/bioinformatics/btn416 · Cited by 241 · see citing works
Simultaneous alignment of short reads against multiple genomes
Schneeberger, K., Hagmann, J., Ossowski, S., Warthmann, N., Gesing, S., Kohlbacher, O., & Weigel, D. (2009) · Genome biology · doi:10.1186/gb-2009-10-9-r98 · Cited by 238 · see citing works
RazerS--fast read mapping with sensitivity control.Preprint
Weese, D., Emde, A., Rausch, T., Döring, A., & Reinert, K. (2009) · Genome Research · doi:10.1101/gr.088823.108 · Cited by 178 · see citing works
Updates to the RMAP short-read mapping software
Smith, A. D., Chung, W., Hodges, E. C., Kendall, J., Hannon, G. J., Hicks, J. B., Xuan, Z., & Zhang, M. Q. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp533 · Cited by 164 · see citing works
Compressed indexing and local alignment of DNA
Lam, T.-W., Sung, W.-K., Tam, S.-L., Wong, C., & Yiu, S.-M. (2008) · Bioinform. · doi:10.1093/bioinformatics/btn032 · Cited by 159 · see citing works
Two algorithms for approxmate string matching in static texts
Jokinen, P., & Ukkonen, E. (1991) · Lecture notes in computer science · doi:10.1007/3-540-54345-7_67 · Cited by 157 · see citing works
Better Filtering with Gapped q-Grams
Burkhardt, S., & Kärkkäinen, J. (2001) · Lecture notes in computer science · doi:10.1007/3-540-48194-x_6 · Cited by 143 · see citing works
PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds
Chen, Y., Souaiaia, T., & Chen, T. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp486 · Cited by 122 · see citing works
Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model
Peng, H., Ruan, Z., Atasoy, D., & Sternson, S. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq212 · Cited by 120 · see citing works
Optimal spliced alignments of short sequence reads
Bona, F. D., Ossowski, S., Schneeberger, K., & Rätsch, G. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-s10-o7 · Cited by 110 · see citing works
Microindel detection in short-read sequence data
Krawitz, P. M., Rödelsperger, C., Jäger, M., Jostins, L., Bauer, S., & Robinson, P. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq027 · Cited by 107 · see citing works
OASIS: An Online and Accurate Technique for Local-alignment Searches on Biological Sequences
Meek, C., Patel, J. M., & Kasetty, S. (2003) · Very Large Data Bases Conference · doi:10.1016/b978-012722442-8/50085-9 · Cited by 107 · see citing works
Munro, J. I., Raman, V., & Satti, S. R. (2001) · Journal of Algorithms · doi:10.1006/jagm.2000.1151 · Cited by 102 · see citing works
Fast and practical approximate string matching
Baeza-Yates, R. A., & Perleberg, C. H. (1992) · Lecture notes in computer science · doi:10.1007/3-540-56024-6_15 · Cited by 97 · see citing works
Optimal spliced alignments of short sequence reads
Bona, F. D., Ossowski, S., Schneeberger, K., & Rätsch, G. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn300 · Cited by 90 · see citing works
Munro, I., Raman, V., & Satti, S. R. (1998) · Lecture notes in computer science · doi:10.1007/978-3-540-49382-2_17 · Cited by 88 · see citing works
Clement, N. L., Snell, Q. O., Clement, M., Hollenhorst, P. C., Purwar, J., Graves, B. J., Cairns, B. R., & Johnson, W. E. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp614 · Cited by 82 · see citing works
BamView: viewing mapped read alignment data in the context of the reference sequence
Carver, T. J., Böhme, U., Otto, T. D., Parkhill, J., & Berriman, M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq010 · Cited by 71 · see citing works
Genome variation discovery with high-throughput sequencing data
Dalca, A. V., & Brudno, M. (2010) · Briefings in Bioinformatics · doi:10.1093/bib/bbp058 · Cited by 71 · see citing works
LookSeq: A browser-based viewer for deep sequencing dataPreprint
Manske, M., & Kwiatkowski, D. P. (2009) · Genome Research · doi:10.1101/gr.093443.109 · Cited by 65 · see citing works
ReAligner: A Program for Refining DNA Sequence Multi-Alignments
Anson, E. L., & Myers, E. W. (1997) · Journal of Computational Biology · doi:10.1089/cmb.1997.4.369 · Cited by 63 · see citing works
Malhis, N., Butterfield, Y. S. N., Ester, M., & Jones, S. J. M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn565 · Cited by 56 · see citing works
High quality SNP calling using Illumina data at shallow coverage
Malhis, N., & Jones, S. J. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq092 · Cited by 55 · see citing works
Storage and Retrieval of Individual Genomes
Mäkinen, V., Navarro, G., Sirén, J., & Välimäki, N. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02008-7_9 · Cited by 45 · see citing works
Local alignment of two-base encoded DNA sequence
Homer, N., Merriman, B., & Nelson, S. F. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-175 · Cited by 40 · see citing works
Self-citationIndexing DNA Sequences Using q-Grams
Cao, X., Li, S. C., & Tung, A. K. H. (2005) · Lecture notes in computer science · doi:10.1007/11408079_4 · Cited by 37 · see citing works
Flagged first, then by citations
1 of the 74 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Liao, Y., Smyth, G. K., & Shi, W. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt214 · Cited by 3,064 · see citing works
Adaptive seeds tame genomic sequence comparisonPreprint
Kiełbasa, S. M., Wan, R., Sato, K., Horton, P., & Frith, M. C. (2011) · Genome Research · doi:10.1101/gr.113985.110 · Cited by 1,252 · see citing works
The Ensembl gene annotation system
Aken, B. L., Ayling, S., Barrell, D. G., Clarke, L., Curwen, V., Fairley, S., Fernandez-Banet, J., Billis, K., Girón, C. G., Hourlier, T., et al. (2016) · Database · doi:10.1093/database/baw093 · Cited by 1,126 · see citing works
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Chen, G., Ning, B., & Shi, T. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00317 · Cited by 913 · see citing works
ACMG clinical laboratory standards for next-generation sequencing
Rehm, H. L., Bale, S. J., Bayrak‐Toydemir, P., Berg, J. S., Brown, K. K., Deignan, J. L., Friez, M. J., Funke, B., Hegde, M., & Lyon, E. (2013) · Genetics in Medicine · doi:10.1038/gim.2013.92 · Cited by 910 · see citing works
Rapid and precise alignment of raw reads against redundant databases with KMA
Clausen, P. T. L. C., Aarestrup, F. M., & Lund, O. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2336-6 · Cited by 883 · see citing works
Toward better understanding of artifacts in variant calling from high-coverage samples
Li, H. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu356 · Cited by 896 · see citing works
Self-citationGenomic variant annotation and prioritization with ANNOVAR and wANNOVAR
Yang, H., & Wang, K. (2015) · Nature Protocols · doi:10.1038/nprot.2015.105 · Cited by 846 · see citing works
Furey, T. S. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3306 · Cited by 825 · see citing works
RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
Lohse, M., Bolger, A., Nagel, A., Fernie, A. R., Lunn, J. E., Stitt, M., & Usadel, B. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks540 · Cited by 778 · see citing works
Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets
Schmieder, R., & Edwards, R. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017288 · Cited by 740 · see citing works
From RNA-seq reads to differential expression results
Oshlack, A., Robinson, M. D., & Young, M. D. (2010) · Genome biology · doi:10.1186/gb-2010-11-12-220 · Cited by 697 · see citing works
Navigating the tip of the genomic iceberg: Next‐generation sequencing for plant systematics
Straub, S. C. K., Parks, M., Weitemier, K., Fishbein, M., Cronn, R., & Liston, A. (2011) · American Journal of Botany · doi:10.3732/ajb.1100335 · Cited by 693 · see citing works
Maize HapMap2 identifies extant variation from a genome in flux
Chia, J.-M., Song, C., Bradbury, P. J., Costich, D. E., de León, N., Doebley, J., Elshire, R. J., Gaut, B. S., Geller, L., Glaubitz, J. C., et al. (2012) · Nature Genetics · doi:10.1038/ng.2313 · Cited by 583 · see citing works
A survey of tools for variant analysis of next-generation genome sequencing data
Pabinger, S., Dander, A., Fischer, M., Snajder, R., Sperk, M., Efremova, M., Krabichler, B., Speicher, M. R., Zschocke, J., & Trajanoski, Z. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs086 · Cited by 595 · see citing works
Computational analysis of bacterial RNA-Seq data
McClure, R., Balasubramanian, D., Sun, Y., Bobrovskyy, M., Sumby, P., Genco, C. A., Vanderpool, C. K., & Tjaden, B. C. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt444 · Cited by 584 · see citing works
The impact of next-generation sequencing on genomics
Zhang, J., Chiodini, R., Badr, A., & Zhang, G. (2011) · Journal of Genetics and Genomics · doi:10.1016/j.jgg.2011.02.003 · Cited by 577 · see citing works
“It is a challenge to efficiently align short reads to a reference genome, especially when developing new algorithms to handle ambiguities or lack of accuracy during the alignment (Li and Homer, 2010).”
BackgroundMethodThe GEM mapper: fast, accurate and versatile alignment by filtration
Marco‐Sola, S., Sammeth, M., Guigó, R., & Ribeca, P. (2012) · Nature Methods · doi:10.1038/nmeth.2221 · Cited by 523 · see citing works
High-Throughput Genomic Data in Systematics and Phylogenetics
Lemmon, E. M., & Lemmon, A. R. (2013) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev-ecolsys-110512-135822 · Cited by 506 · see citing works
Fast Computation and Applications of Genome Mappability
Derrien, T., Estellé, J., Marco‐Sola, S., Knowles, D. G., Raineri, E., Guigó, R., & Ribeca, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030377 · Cited by 476 · see citing works
Routes for breaching and protecting genetic privacy
Erlich, Y., & Narayanan, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3723 · Cited by 466 · see citing works
Assuring the quality of next-generation sequencing in clinical laboratory practice
Gargis, A. S., Kalman, L. V., Berry, M. W., Bick, D. P., Dimmock, D., Hambuch, T. M., Lu, F., Lyon, E., Voelkerding, K. V., Zehnbauer, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2403 · Cited by 458 · see citing works
Chromatin accessibility: a window into the genome
Tsompana, M., & Buck, M. J. (2014) · Epigenetics & Chromatin · doi:10.1186/1756-8935-7-33 · Cited by 437 · see citing works
Accurate identification of human Alu and non-Alu RNA editing sites
Ramaswami, G., Lin, W., Piskol, R., Tan, M. H., Davis, C., & Li, J. B. (2012) · Nature Methods · doi:10.1038/nmeth.1982 · Cited by 384 · see citing works
Reliable Identification of Genomic Variants from RNA-Seq Data
Piskol, R., Ramaswami, G., & Li, J. B. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.08.008 · Cited by 375 · see citing works
The real cost of sequencing: scaling computation to keep pace with data generation
Muir, P., Li, S., Lou, S., Wang, D., Spakowicz, D. J., Salichos, L., Zhang, J., Weinstock, G. M., Isaacs, F. J., Rozowsky, J. S., et al. (2016) · Genome biology · doi:10.1186/s13059-016-0917-0 · Cited by 369 · see citing works
SHRiMP2: Sensitive yet Practical Short Read Mapping
David, M., Dzamba, M., Lister, D., Ilie, L., & Brudno, M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr046 · Cited by 348 · see citing works
BWA-MEME: BWA-MEM emulated with a machine learning approach
Jung, Y., & Han, D. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac137 · Cited by 340 · see citing works
Whole genome sequencing in clinical and public health microbiology
Kwong, J. C., Mccallum, N., Sintchenko, V., & Howden, B. P. (2015) · Pathology · doi:10.1097/pat.0000000000000235 · Cited by 329 · see citing works
lobSTR: A short tandem repeat profiler for personal genomesPreprint
Gymrek, M., Golan, D., Rosset, S., & Erlich, Y. (2012) · Genome Research · doi:10.1101/gr.135780.111 · Cited by 327 · see citing works
Improving SNP discovery by base alignment quality
Li, H. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr076 · Cited by 321 · see citing works
Self-citationSNP Discovery through Next-Generation Sequencing and Its Applications
Kumar, S. D., Banks, T. W., & Cloutier, S. (2012) · International Journal of Plant Genomics · doi:10.1155/2012/831460 · Cited by 312 · see citing works
Scheben, A., Batley, J., & Edwards, D. (2016) · Plant Biotechnology Journal · doi:10.1111/pbi.12645 · Cited by 306 · see citing works
fastp 1.0: An ultra‐fast all‐round tool for FASTQ data quality control and preprocessing
Chen, S. (2025) · iMeta · doi:10.1002/imt2.70078 · Cited by 334 · see citing works
PRICE: Software for the Targeted Assembly of Components of (Meta) Genomic Sequence Data
Ruby, J. G., Bellare, P., & DeRisi, J. L. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.005967 · Cited by 285 · see citing works
Computational pan-genomics: status, promises and challenges
Marschall, T., Marz, M., Abeel, T., Dijkstra, L., Dutilh, B. E., Ghaffaari, A., Kersey, P., Kloosterman, W. P., Mäkinen, V., Novak, A. M., et al. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw089 · Cited by 338 · see citing works
Iwata, H., & Gotoh, O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks708 · Cited by 286 · see citing works
Nguyen (2022) · doi:10.1145/3453476 · Cited by 286 · see citing works
Application of Genomic Tools in Plant Breeding
Pérez-de-Castro, A. M., Vilanova, S., Cañizares, J., Pascual, L., Blanca, J., Díez, M. J., Prohens, J., & Belén Picó, M. (2012) · Current Genomics · doi:10.2174/138920212800543084 · Cited by 281 · see citing works
Studying bacterial transcriptomes using RNA-seq
Croucher, N. J., & Thomson, N. R. (2010) · Current Opinion in Microbiology · doi:10.1016/j.mib.2010.09.009 · Cited by 279 · see citing works
Tools for mapping high-throughput sequencing data
Fonseca, N. A., Rung, J., Brāzma, A., & Marioni, J. C. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts605 · Cited by 276 · see citing works
Metagenomics for pathogen detection in public health
Miller, R. R., Montoya, V., Gardy, J. L., Patrick, D. M., & Tang, P. (2013) · Genome Medicine · doi:10.1186/gm485 · Cited by 266 · see citing works
CloudMap: A Cloud-Based Pipeline for Analysis of Mutant Genome Sequences
Minevich, G., Park, D. S., Blankenberg, D. J., Poole, R. J., & Hobert, O. (2012) · Genetics · doi:10.1534/genetics.112.144204 · Cited by 255 · see citing works
Bioinformatics challenges for personalized medicine
Fernald, G. H., Capriotti, E., Daneshjou, R., Karczewski, K. J., & Altman, R. B. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr295 · Cited by 260 · see citing works
Targeted enrichment of genomic DNA regions for next-generation sequencing
Mertes, F., ElSharawy, A., Sauer, S., van Helvoort, J. M. L. M., van der Zaag, P. J., Franke, A., Nilsson, M. F., Lehrach, H., & Brookes, A. J. (2011) · Briefings in Functional Genomics · doi:10.1093/bfgp/elr033 · Cited by 254 · see citing works
SOAP3: ultra-fast GPU-based parallel alignment tool for short reads
Liu, C.-M., Wong, T. K. F., Wu, E., Luo, R., Yiu, S., Li, Y., Wang, B., Yu, C., Chu, X., Zhao, K., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts061 · Cited by 248 · see citing works
ChIP-Seq: technical considerations for obtaining high-quality data
Kidder, B. L., Hu, G., & Zhao, K. (2011) · Nature Immunology · doi:10.1038/ni.2117 · Cited by 245 · see citing works
Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis
Finotello, F., & Camillo, B. D. (2014) · Briefings in Functional Genomics · doi:10.1093/bfgp/elu035 · Cited by 234 · see citing works
Comparative analysis of algorithms for next-generation sequencing read alignment
Ruffalo, M., LaFramboise, T., & Koyutürk, M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr477 · Cited by 232 · see citing works
Benchmarking short sequence mapping tools
Hatem, A., Bozdağ, D., Toland, A. E., & Çatalyürek, Ü. V. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-184 · Cited by 224 · see citing works
Faster and More Accurate Sequence Alignment with SNAPPreprint
Zaharia, M., Bolosky, W. J., Curtis, K., Fox, A., Patterson, D. A., Shenker, S. J., Stoica, I. G., Karp, R. M., & Sittler, T. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1111.5572 · Cited by 219 · see citing works
De novo assembly of highly diverse viral populations
Yang, X. Q., Charlebois, P., Gnerre, S., Coole, M. G., Lennon, N. J., Levin, J. Z., Qu, J., Ryan, E. M., Zody, M. C., & Henn, M. R. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-475 · Cited by 210 · see citing works
Next-generation biology: Sequencing and data analysis approaches for non-model organisms
da Fonseca, R. R., Albrechtsen, A., Themudo, G. E., Ramos‐Madrigal, J., Sibbesen, J. A., Maretty, L., Mendoza, M. L. Z., Campos, P. F., Heller, R., & Pereira, R. J. (2016) · Marine Genomics · doi:10.1016/j.margen.2016.04.012 · Cited by 207 · see citing works
Phylogenomics provides strong evidence for relationships of butterflies and moths
Kawahara, A. Y., & Breinholt, J. W. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.0970 · Cited by 206 · see citing works
Detecting and correcting systematic variation in large-scale RNA sequencing data
Li, S., Łabaj, P. P., Zumbo, P., Sykacek, P., Shi, W., Shi, L., Phan, J., Wu, P.-Y., Wang, M., Wang, C., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3000 · Cited by 175 · see citing works
Parson, W., Strobl, C., Huber, G. E., Zimmermann, B., Gomes, S. M., Souto, L., Fendt, L., Delport, R., Langit, R., Wootton, S., et al. (2013) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2013.06.003 · Cited by 192 · see citing works
Clark, S., Egan, R. S., Frazier, P. I., & Wang, Z. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts723 · Cited by 183 · see citing works
Smith, S., Bernatchez, L., & Beheregaray, L. B. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-375 · Cited by 181 · see citing works
Accelerated Recruitment of New Brain Development Genes into the Human Genome
Zhang, Y. E., Landback, P., Vibranovski, M. D., & Long, M. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001179 · Cited by 164 · see citing works
High-Resolution Genome-wide Mapping of the Primary Structure of Chromatin
Zhang, Z., & Pugh, B. F. (2011) · Cell · doi:10.1016/j.cell.2011.01.003 · Cited by 163 · see citing works
Structural variation detection using next-generation sequencing data
Guan, P., & Sung, W.-K. K. (2016) · Methods · doi:10.1016/j.ymeth.2016.01.020 · Cited by 165 · see citing works
Quantum computing at the frontiers of biological sciences
Emani, P. S., Warrell, J., Anticevic, A., Bekiranov, S., Gandal, M., McConnell, M. J., Sapiro, G., Aspuru-Guzik, A., Baker, J. T., Bastiani, M., et al. (2021) · Nature Methods · doi:10.1038/s41592-020-01004-3 · Cited by 163 · see citing works
Liu, S., Tsai, W.-H., Ding, Y., Chen, R., Fang, Z., Huo, Z., Kim, S., Ma, T., Chang, T., Priedigkeit, N., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1234 · Cited by 163 · see citing works
Evolutionary insight from whole‐genome sequencing of experimentally evolved microbes
DETTMAN, J. R., RODRIGUE, N., MELNYK, A. H., WONG, A., BAILEY, S. F., & KASSEN, R. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05484.x · Cited by 160 · see citing works
RazerS 3: Faster, fully sensitive read mapping
Weese, D., Holtgrewe, M., & Reinert, K. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts505 · Cited by 158 · see citing works
Levenshtein Distance, Sequence Comparison and Biological Database Search
Berger, B., Waterman, M. S., & Yu, Y. W. (2020) · IEEE Transactions on Information Theory · doi:10.1109/tit.2020.2996543 · Cited by 159 · see citing works
Highnam, G., Franck, C. T., Martin, A., Stephens, C. J., Puthige, A., & Mittelman, D. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks981 · Cited by 148 · see citing works
Technology dictates algorithms: recent developments in read alignment
Alser, M., Rotman, J., Deshpande, D., Taraszka, K., Shi, H., Baykal, P. I., Yang, H. T., Xue, V., Knyazev, S., Singer, B. D., et al. (2021) · Genome Biology · doi:10.1186/s13059-021-02443-7 · Cited by 144 · see citing works
Computational Pan-Genomics: Status, Promises and ChallengesPreprint
Marschall, T., Marz, M., Abeel, T., Dijkstra, L., Dutilh, B. E., Ghaffaari, A., Kersey, P. J., Kloosterman, W. P., Mäkinen, V., Novak, A. M., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/043430 · Cited by 147 · see citing works
Rehder, C. W., Bean, L. J., Bick, D. P., Chao, E., Chung, W. K., Das, S., O’Daniel, J. M., Rehm, H. L., Shashi, V., & Vincent, L. M. (2021) · Genetics in Medicine · doi:10.1038/s41436-021-01139-4 · Cited by 149 · see citing works
Tri6 Is a Global Transcription Regulator in the Phytopathogen Fusarium graminearum
Nasmith, C. G., Walkowiak, S., Wang, L., Leung, W. W. Y., Gong, Y., Johnston, A., Harris, L. J., Guttman, D. S., & Subramaniam, R. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002266 · Cited by 141 · see citing works
Next-generation sequencing technologies and applications for human genetic history and forensics
Berglund, E., Kiialainen, A., & Syvänen, A. (2011) · Investigative Genetics · doi:10.1186/2041-2223-2-23 · Cited by 143 · see citing works
Computational and statistical approaches to analyzing variants identified by exome sequencing
Stitziel, N. O., Kieżun, A., & Sunyaev, S. R. (2011) · Genome biology · doi:10.1186/gb-2011-12-9-227 · Cited by 137 · see citing works
Genomic diversity affects the accuracy of bacterial single-nucleotide polymorphism–calling pipelines
Bush, S. J., Foster, D., Eyre, D. W., Clark, E. L., Maio, N. D., Shaw, L. P., Stoesser, N. E., Peto, T., Crook, D. W., & Walker, A. S. (2020) · GigaScience · doi:10.1093/gigascience/giaa007 · Cited by 133 · see citing works
Beginner’s guide to comparative bacterial genome analysis using next-generation sequence data
Edwards, D., & Holt, K. E. (2013) · Microbial Informatics and Experimentation · doi:10.1186/2042-5783-3-2 · Cited by 139 · see citing works
Exome sequencing and complex disease: practical aspects of rare variant association studies
Do, R., Kathiresan, S., & Abecasis, G. R. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds387 · Cited by 138 · see citing works
Short-Rib Polydactyly and Jeune Syndromes Are Caused by Mutations in WDR60
McInerney-Leo, A. M., Schmidts, M., Cortés, C. R., Leo, P. J., Gener, B., Courtney, A. D., Gardiner, B., Harris, J. A., Lu, Y., Marshall, M. S., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.06.022 · Cited by 136 · see citing works
Optimization of miRNA-seq data preprocessing
Tam, S., Tsao, M., & McPherson, J. D. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv019 · Cited by 136 · see citing works
SEAL: a distributed short read mapping and duplicate removal tool
Pireddu, L., Leo, S., & Zanetti, G. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr325 · Cited by 134 · see citing works
Recent trends in molecular diagnostics of yeast infections: from PCR to NGS
Arastehfar, A. A., Boekhout, T., Butler, G., Cesare, G. B. D., Dolk, E., Gabaldón, T., Hafez, A. I., Hube, B., Hagen, F., Hovhannisyan, H., et al. (2019) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuz015 · Cited by 136 · see citing works
Single-Cell Transcriptomics: Current Methods and Challenges in Data Acquisition and Analysis
Adil, A., Kumar, V., Jan, A. T., & Asger, M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.591122 · Cited by 133 · see citing works
Strom, S. P., Lee, H., Das, K., Vilain, E. J. N., Nelson, S. F., Grody, W. W., & Deignan, J. L. (2014) · Genetics in Medicine · doi:10.1038/gim.2013.183 · Cited by 131 · see citing works
Mapping Rare and Common Causal Alleles for Complex Human Diseases
Raychaudhuri, S. (2011) · Cell · doi:10.1016/j.cell.2011.09.011 · Cited by 132 · see citing works
Evaluation of next-generation sequencing software in mapping and assembly
Bao, S., Jiang, R., Kwan, W., Wang, B., Ma, X., & Song, Y. (2011) · Journal of Human Genetics · doi:10.1038/jhg.2011.43 · Cited by 131 · see citing works
RetractedSPRINT: an SNP-free toolkit for identifying RNA editing sites
Zhang, F., Lu, Y., Yan, S., Xing, Q., & Tian, W. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx473 · Cited by 130 · see citing works
Alignment-free genetic sequence comparisons: a review of recent approaches by word analysis
Bonham-Carter, O., Steele, J., & Bastola, D. K. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbt052 · Cited by 127 · see citing works
The changing epitome of species identification – DNA barcoding
Ali, M. A., Gyulai, G., Hidvégi, N., Kerti, B., Al-Hemaid, F. M. A., Pandey, A. K., & Lee, J. (2014) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2014.03.003 · Cited by 127 · see citing works
Clinical Analysis and Interpretation of Cancer Genome Data
Allen, E. M. V., Wagle, N., & Levy, M. A. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2013.48.7215 · Cited by 126 · see citing works
Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data
Anyansi, C., Straub, T. J., Manson, A. L., Earl, A. M., & Abeel, T. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01925 · Cited by 122 · see citing works
A beginners guide to SNP calling from high-throughput DNA-sequencing data
Altmann, A., Weber, P., Bader, D. M., Preuss, M. H., Binder, E. B., & Müller-Myhsok, B. (2012) · Human Genetics · doi:10.1007/s00439-012-1213-z · Cited by 125 · see citing works
From next-generation resequencing reads to a high-quality variant data set
Pfeifer, S. P. (2016) · Heredity · doi:10.1038/hdy.2016.102 · Cited by 122 · see citing works
A comprehensive survey of non-canonical splice sites in the human transcriptome
Parada, G. E., Munita, R., Cerda, C., & Gysling, K. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku744 · Cited by 123 · see citing works
Wang, Q., Xia, J., Jia, P., Pao, W. J., & Zhao, Z. (2012) · Briefings in Bioinformatics · doi:10.1093/bib/bbs044 · Cited by 119 · see citing works
Pavlopoulos, G. A., Malliarakis, D., Papanikolaou, N., Θεοδοσίου, Θ., Enright, A. J., & Iliopoulos, I. (2015) · GigaScience · doi:10.1186/s13742-015-0077-2 · Cited by 113 · see citing works
An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins
Yuan, W., Xia, Y., Bell, C. G., Yet, İ., Ferreira, T. C., Ward, K. J., Gao, F., Loomis, A. K., Hyde, C. L., Wu, H., et al. (2014) · Nature Communications · doi:10.1038/ncomms6719 · Cited by 113 · see citing works
Human genetics and genomics a decade after the release of the draft sequence of the human genome
Naidoo, N., Yudi Pawitan, Y., Soong, R., Cooper, D. N., & Ku, C. (2011) · Human Genomics · doi:10.1186/1479-7364-5-6-577 · Cited by 113 · see citing works
CLEVER: clique-enumerating variant finder
Marschall, T., Costa, I. G., Canzar, S., Bauer, M. J., Klau, G. W., Schliep, A., & Schönhuth, A. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts566 · Cited by 110 · see citing works
Combination of Whole Genome Sequencing and Metagenomics for Microbiological Diagnostics
Purushothaman, S., Meola, M., & Egli, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179834 · Cited by 116 · see citing works
- Authors
- Li, H., & Homer, N.
- Affiliations
- Broad Institute (US)
- ORCID
- Li, H.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05-11
- Volume
- 11
- Issue
- 5
- Pages
- 473-483
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- PMC
- PMC2943993
- OpenAlex
- W2093931624
- Cited by
- 875
- References
- 74
- Citations by year
- 2026: 11 · 2025: 21 · 2024: 22 · 2023: 21 · 2022: 20 · 2021: 37 · 2020: 41 · 2019: 41 · 2018: 69 · 2017: 52 · 2016: 74 · 2015: 88 · 2014: 118 · 2013: 105 · 2012: 83
- FWCI
- 7.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Briefings in Bioinformatics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (U01HG005210, U01HG005208)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- sequence alignment, next-generation sequencing, short-read alignment, long-read sequencing, alignment algorithms, reference genome mapping, cloud computing, bioinformatics software
- MeSH terms
- Algorithms, Base Sequence, Humans, Software, Genome, Human, Sequence Alignment, Sequence Analysis, DNA
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