The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
Characterization of the human ESC transcriptome by hybrid sequencing
Open accessAbstract
Significance: Isoform identification and discovery are an important goal for transcriptome analysis because the majority of human genes express multiple isoforms with context- and tissue-specific functions. Better annotation of isoforms will also benefit downstream analysis such as expression quantification. Current RNA-Seq methods based on short-read sequencing are not reliable for isoform discovery. In this study we developed a new method based on the combined analysis of short reads and long reads generated, respectively, by second- and third-generation sequencing and applied this method to obtain a comprehensive characterization of the transcriptome of the human embryonic stem cell. The results showed that large gain in sensitivity and specificity can be achieved with this strategy.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The technology has proven useful for unraveling isoform diversity at complex loci [186], and for determining allele-specific expression from single reads [187].”
From A survey of best practices for RNA-seq data analysis (2016) · cites this paper as [186]
Citations
Cites
Ultrafast 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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Self-citationMapping 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
Self-citationRNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Self-citationDerrien, T., Johnson, R., Bussotti, G., Andrea Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,135
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Cabili, M. N., Trapnell, C., Goff, L. A., Koziol, M. J., Tazón‐Vega, B., Regev, A., & Rinn, J. L. (2011) · Genes & Development · doi:10.1101/gad.17446611 · Cited by 3,551
Cited by
Sorted by citations
A survey of best practices for RNA-seq data analysis
Conesa, A., Madrigal, P., Tarazona, S., Gomez-Cabrero, D., Cervera, A., McPherson, A., Szcześniak, M. W., Gaffney, D. J., Elo, L. L., Zhang, X., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0881-8 · Cited by 2,794
Opportunities and challenges in long-read sequencing data analysis
Amarasinghe, S. L., Su, S., Dong, X., Zappia, L., Ritchie, M. E., & Gouil, Q. (2020) · Genome Biology · doi:10.1186/s13059-020-1935-5 · Cited by 2,530
PacBio Sequencing and its Applications
Rhoads, A., & Au, K. F. (2015) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2015.08.002 · Cited by 2,135
Self-citationTranscriptome assembly from long-read RNA-seq alignments with StringTie2
Kovaka, S., Zimin, A. V., Pertea, G. M., Razaghi, R., Salzberg, S. L., & Pertea, M. (2019) · Genome biology · doi:10.1186/s13059-019-1910-1 · Cited by 2,041
RNA sequencing: the teenage years
Stark, R., Grzelak, M., & Hadfield, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0150-2 · Cited by 2,041
Nanopore sequencing technology, bioinformatics and applications
Wang, Y., Zhao, Y., Bollas, A., Wang, Y., & Au, K. F. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01108-x · Cited by 1,863
Self-citationLong-read human genome sequencing and its applications
Logsdon, G. A., Vollger, M. R., & Eichler, E. E. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0236-x · Cited by 1,293
Kukurba, K. R., & Montgomery, S. B. (2015) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top084970 · Cited by 924
RNA ‐Seq methods for transcriptome analysis
Hrdličková, R., Toloue, M., & Tian, B. (2016) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1364 · Cited by 746
A survey of the sorghum transcriptome using single-molecule long reads
Abdel‐Ghany, S. E., Hamilton, M., Jacobi, J. L., Ngam, P. B., Devitt, N. P., Schilkey, F., Ben‐Hur, A., & Reddy, A. S. N. (2016) · Nature Communications · doi:10.1038/ncomms11706 · Cited by 598
Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing
Wang, B., Tseng, E., Regulski, M., Clark, T. A., Hon, T., Jiao, Y., Lu, Z., Olson, A. J., Stein, J. C., & Ware, D. (2016) · Nature Communications · doi:10.1038/ncomms11708 · Cited by 587
Common genetic variation drives molecular heterogeneity in human iPSCs
Kilpinen, H., Goncalves, A., Leha, A., Afzal, V., Alasoo, K., Ashford, S., Bala, S., Bensaddek, D., Casale, F. P., Culley, O. J., et al. (2017) · Nature · doi:10.1038/nature22403 · Cited by 586
Piercing the dark matter: bioinformatics of long-range sequencing and mapping
Sedlazeck, F. J., Lee, H., Darby, C. A., & Schatz, M. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0003-4 · Cited by 530
Weirather, J. L., de Cesare, M., Wang, Y., Piazza, P., Sebastiano, V., Wang, X.-J., Buck, D., & Au, K. F. (2017) · F1000Research · doi:10.12688/f1000research.10571.2 · Cited by 418
Self-citationTardáguila, M., de la Fuente, L., Martí, C., Pereira, C., Pardo-Palacios, F. J., del Risco, H., Ferrell, M., Mellado-López, M., Macchietto, M. G., Verheggen, K., et al. (2018) · Genome Research · doi:10.1101/gr.222976.117 · Cited by 458
Widespread Polycistronic Transcripts in Fungi Revealed by Single-Molecule mRNA Sequencing
Gordon, S., Tseng, E., Salamov, A. A., Zhang, J., Meng, X., Zhao, Z., Kang, D., Underwood, J. G., Grigoriev, I. V., Figueroa, M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132628 · Cited by 410
Self-citationSahraeian, S. M. E., Mohiyuddin, M., Sebra, R., Tilgner, H., Afshar, P. T., Au, K. F., Bani Asadi, N., Gerstein, M. B., Wong, W. H., Snyder, M. P., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00050-4 · Cited by 376
Self-citationThe Expanding Landscape of Alternative Splicing Variation in Human Populations
Park, E., Pan, Z., Zhang, Z., Lin, L., & Xing, Y. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.11.002 · Cited by 385
Alternative mRNA transcription, processing, and translation: insights from RNA sequencing
de Klerk, E., & ‘t Hoen, P. A. C. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.01.001 · Cited by 350
Xu, Z., Peters, R. J., Weirather, J. L., Luo, H., Liao, B., Zhang, X., Zhu, Y., Ji, A., Zhang, B., Hu, S., et al. (2015) · The Plant Journal · doi:10.1111/tpj.12865 · Cited by 345
Self-citationSingle-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells
Gupta, I., Collier, P. G., Haase, B., Mahfouz, A., Joglekar, A., Floyd, T., Koopmans, F., Barres, B., Smit, A. B., Sloan, S. A., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4259 · Cited by 343
Single-molecule sequencing of the desiccation-tolerant grass Oropetium thomaeum
VanBuren, R., Bryant, D., Edger, P. P., Tang, H., Burgess, D. G., Challabathula, D., Spittle, K. E., Hall, R. J., Gu, J., Lyons, E. H., et al. (2015) · Nature · doi:10.1038/nature15714 · Cited by 291
Meyer, V., Andersen, M. R., Brakhage, A. A., Braus, G. H., Caddick, M. X., Cairns, T. C., de Vries, R. P., Haarmann, T., Hansen, K., Hertz‐Fowler, C., et al. (2016) · Fungal Biology and Biotechnology · doi:10.1186/s40694-016-0024-8 · Cited by 292
Overcoming challenges and dogmas to understand the functions of pseudogenes
Cheetham, S. W., Faulkner, G. J., & Dinger, M. E. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0196-1 · Cited by 294
Defining a personal, allele-specific, and single-molecule long-read transcriptome
Tilgner, H., Grubert, F., Sharon, D., & Snyder, M. P. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400447111 · Cited by 266
Tilgner, H., Jahanbani, F., Blauwkamp, T., Moshrefi, A., Jaeger, E., Chen, F., Harel, I., Bustamante, C. D., Rasmussen, M., & Snyder, M. P. (2015) · Nature Biotechnology · doi:10.1038/nbt.3242 · Cited by 223
Wang, M., Wang, P., Liang, F., Ye, Z., Li, J., Shen, C., Pei, L., Wang, F., Hu, J. Y., Tu, L., et al. (2017) · New Phytologist · doi:10.1111/nph.14762 · Cited by 196
Hoang, N. V., Furtado, A., Mason, P. J., Marquardt, A., Kasirajan, L., Thirugnanasambandam, P. P., Botha, F. C., & Henry, R. J. (2017) · BMC Genomics · doi:10.1186/s12864-017-3757-8 · Cited by 199
Bacterial RNA Biology on a Genome Scale
Hör, J., Gorski, S. A., & Vogel, J. (2018) · Molecular Cell · doi:10.1016/j.molcel.2017.12.023 · Cited by 191
Targeted Combinatorial Alternative Splicing Generates Brain Region-Specific Repertoires of Neurexins
Schreiner, D., Nguyen, T.-M., Russo, G., Heber, S., Patrignani, A., Ahrné, E., & Scheiffele, P. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.011 · Cited by 192
Wang, T., Wang, H., Cai, D., Gao, Y., Zhang, H., Wang, Y., Lin, C., Ma, L., & Gu, L. (2017) · The Plant Journal · doi:10.1111/tpj.13597 · Cited by 187
FLAM-seq: full-length mRNA sequencing reveals principles of poly(A) tail length control
Legnini, I., Alles, J., Karaiskos, N., Ayoub, S., Quedenau, C., & Rajewsky, N. (2019) · Nature Methods · doi:10.1038/s41592-019-0503-y · Cited by 187
Durruthy-Durruthy, J., Sebastiano, V., Wossidlo, M., Cepeda, D. A., Cui, J., Grow, E. J., Davila, J., Mall, M., Wong, W. H., Wysocka, J., et al. (2015) · Nature Genetics · doi:10.1038/ng.3449 · Cited by 186
Self-citationZhao, L., Zhang, H., Kohnen, M. V., Prasad, K. V. S. K., Gu, L., & Reddy, A. S. N. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00253 · Cited by 182
The developmental dynamics of the Populus stem transcriptome
Chao, Q., Gao, Z., Zhang, D., Zhao, B., Dong, F., Fu, C., Liu, L., & Wang, B. (2018) · Plant Biotechnology Journal · doi:10.1111/pbi.12958 · Cited by 168
Transposable elements in the mammalian embryo: pioneers surviving through stealth and service
Gerdes, P., Richardson, S. R., Mager, D. L., & Faulkner, G. J. (2016) · Genome Biology · doi:10.1186/s13059-016-0965-5 · Cited by 156
Oikonomopoulos, S., Wang, Y. C., Djambazian, H. H. V., Badescu, D., & Ragoussis, J. (2016) · Scientific Reports · doi:10.1038/srep31602 · Cited by 153
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
den Berge, K. V., Hembach, K., Soneson, C., Tiberi, S., Clement, L., Love, M. I., Patro, R., & Robinson, M. D. (2019) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-072018-021255 · Cited by 153
Realizing the potential of full-length transcriptome sequencing
Byrne, A., Cole, C., Volden, R., & Vollmers, C. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0097 · Cited by 142
Wheat germ systems for cell‐free protein expression
Harbers, M. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.05.061 · Cited by 143
Wang, B., Kumar, V., Olson, A. J., & Ware, D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00384 · Cited by 147
Kanitz, A., Gypas, F., Gruber, A. J., Gruber, A. J., Martin, G., & Zavolan, M. (2015) · Genome biology · doi:10.1186/s13059-015-0702-5 · Cited by 148
Zhang, G., Sun, M., Wang, J., Meng, L., Li, C., Zhao, D., Huang, J. T., Li, W., Li, S., Li, J., et al. (2018) · The Plant Journal · doi:10.1111/tpj.14120 · Cited by 137
Dong, L., Liu, H., Zhang, J., Yang, S., Kong, G., Chu, J. S.-C., Chen, N., & Wang, D. (2015) · BMC Genomics · doi:10.1186/s12864-015-2257-y · Cited by 131
Neuronal impact of patient-specific aberrant NRXN1α splicing
Flaherty, E. K., Zhu, S., Barretto, N., Cheng, E., Deans, P. J. M., Fernando, M. B., Schrode, N., Francoeur, N. J., Antoine, A., Alganem, K., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0539-z · Cited by 124
Weirather, J. L., Afshar, P. T., Clark, T. A., Tseng, E., Powers, L. S., Underwood, J. G., Zabner, J., Korlach, J., Wong, W. H., & Au, K. F. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv562 · Cited by 123
Self-citationSingle-nuclei isoform RNA sequencing unlocks barcoded exon connectivity in frozen brain tissue
Hardwick, S. A., Hu, W., Joglekar, A., Fan, L., Collier, P. G., Foord, C., Balacco, J., Lanjewar, S., Sampson, M. M., Koopmans, F., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01231-3 · Cited by 119
Anvar, S. Y., Allard, G., Tseng, E., Sheynkman, G. M., de Klerk, E., Vermaat, M., Yin, R. H., Johansson, H. E., Ariyurek, Y., den Dunnen, J. T., et al. (2018) · Genome Biology · doi:10.1186/s13059-018-1418-0 · Cited by 118
A comparative evaluation of hybrid error correction methods for error-prone long reads
Fu, S., Wang, A., & Au, K. F. (2019) · Genome biology · doi:10.1186/s13059-018-1605-z · Cited by 124
Self-citationMulti-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton
Wang, K., Wang, D., Zheng, X., Ai, Q., Zhou, J., Guo, B., Chen, Y., Wen, X., Ye, W., Zhou, Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12575-x · Cited by 115
Ray, T. A., Cochran, K., Kozlowski, C., Wang, J., Alexander, G. C., Cady, M. A., Spencer, W. J., Ruzycki, P. A., Clark, B. S., Laeremans, A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17009-7 · Cited by 123
Methodologies for Transcript Profiling Using Long-Read Technologies
Oikonomopoulos, S., Bayega, A., Fahiminiya, S., Djambazian, H. H. V., Bérubé, P., & Ragoussis, J. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00606 · Cited by 111
Determination of isoform-specific RNA structure with nanopore long reads
Aw, J. G. A., Lim, S. W., Wang, J., Lambert, F. R. P., Tan, W. T., Shen, Y., Zhang, Y., Kaewsapsak, P., Li, C., Ng, S. B. H., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0712-z · Cited by 115
Bias in RNA‐seq Library Preparation: Current Challenges and Solutions
Shi, H., Zhou, Y., Jia, E., Pan, M., Bai, Y., & Ge, Q. (2021) · BioMed Research International · doi:10.1155/2021/6647597 · Cited by 129
Chen, H., Gao, F., He, M., Ding, X., Wong, A. M., Sze, S. C., Yu, A. C.-S., Sun, T., Chan, A. W. H., Wang, X., et al. (2019) · Hepatology · doi:10.1002/hep.30500 · Cited by 99
Kuo, M., Liu, S. C.-H., Hsu, Y.-F., & Wu, R. (2021) · Journal of Biomedical Science · doi:10.1186/s12929-021-00775-x · Cited by 99
Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics
Banchereau, R., Cepika, A., Banchereau, J., & Pascual, V. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052225 · Cited by 98
Gao, Y., Wang, F., Wang, R., Kutschera, E., Xu, Y., Xie, S., Wang, Y., Kadash-Edmondson, K. E., Lin, L., & Xing, Y. (2023) · Science Advances · doi:10.1126/sciadv.abq5072 · Cited by 93
Introduction to Isoform Sequencing Using Pacific Biosciences Technology (Iso-Seq)
Gonzalez‐Garay, M. L. (2015) · Translational bioinformatics · doi:10.1007/978-94-017-7450-5_6 · Cited by 97
Genome-wide characterization of human L1 antisense promoter-driven transcripts
Criscione, S. W., Theodosakis, N., Micevic, G., Cornish, T. C., Burns, K. H., Neretti, N., & Rodić, N. (2016) · BMC Genomics · doi:10.1186/s12864-016-2800-5 · Cited by 96
Huang, K. K., Huang, J., Wu, J., Lee, M., Tay, S. T., Kumar, V., Ramnarayanan, K., Padmanabhan, N., Xu, C., Tan, A. L. K., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02261-x · Cited by 88
Xu, Q., Zhu, J., Zhao, S., Hou, Y., Li, F., Tai, Y., Wan, X., & Wei, C. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01205 · Cited by 85
A survey of transcriptome complexity in Sus scrofa using single-molecule long-read sequencing
Li, Y., Fang, C., Fu, Y., Hu, A., Li, C., Zou, C., Li, X., Zhao, S., Zhang, C., & Li, C. (2018) · DNA Research · doi:10.1093/dnares/dsy014 · Cited by 79
Chandola, U., Das, R., & Panda, B. (2014) · Briefings in Functional Genomics · doi:10.1093/bfgp/elu039 · Cited by 80
Single-molecule long-read sequencing reveals a conserved intact long RNA profile in sperm
Sun, Y. H., Wang, A., Song, C. W., Shankar, G., Srivastava, R. K., Au, K. F., & Li, X. Z. (2021) · Nature Communications · doi:10.1038/s41467-021-21524-6 · Cited by 80
Self-citationApplication and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies
Khedher, M. B., Ghedira, K., Rolain, J., Ruimy, R., & Croce, O. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031395 · Cited by 76
Evaluation of tools for long read RNA-seq splice-aware alignment
Križanović, K., Echchiki, A., Roux, J., & Šikić, M. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx668 · Cited by 76
Yang, L., Jin, Y., Huang, W., Sun, Q., Liu, F., & Huang, X. (2018) · BMC Genomics · doi:10.1186/s12864-018-5106-y · Cited by 75
Xin, T., Xu, Z., Jia, J. M., Leon, C. J., Hu, S., Lin, Y., Ragupathy, S., Song, J., & Newmaster, S. G. (2017) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2017.10.001 · Cited by 74
Microfluidic isoform sequencing shows widespread splicing coordination in the human transcriptome
Tilgner, H., Jahanbani, F., Gupta, I., Collier, P., Wei, E., Rasmussen, M., & Snyder, M. (2018) · Genome Research · doi:10.1101/gr.230516.117 · Cited by 71
Ament, I. H., DeBruyne, N., Wang, F., & Lin, L. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.11.025 · Cited by 79
Begik, O., Diensthuber, G., Liu, H., Delgado-Tejedor, A., Kontur, C., Niazi, A. M., Valen, E., Giráldez, A. J., Beaudoin, J.-D., Mattick, J. S., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01714-w · Cited by 67
Chen, J., Shen, Q. S., Zhou, W., Peng, J., He, B., Li, Y., Liu, C., Luan, X., Ding, W., Li, S., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005391 · Cited by 67
Chen, Z., Lu, X., Yun, X., Tang, F., Wang, J., Shi, D., Fu, S., & Ren, J. (2019) · BMC Plant Biology · doi:10.1186/s12870-019-1850-7 · Cited by 64
Long-Read Annotation: Automated Eukaryotic Genome Annotation Based on Long-Read cDNA Sequencing
Cook, D. E., Valle-Inclán, J. E., Pajoro, A., Rövenich, H., Thomma, B. P. H. J., & Faino, L. (2018) · PLANT PHYSIOLOGY · doi:10.1104/pp.18.00848 · Cited by 63
HALC: High throughput algorithm for long read error correction
Bao, E., & Lan, L. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1610-3 · Cited by 62
Comprehensive assessment of mRNA isoform detection methods for long-read sequencing data
Su, Y., Yu, Z., Jin, S., Ai, Z., Yuan, R., Chen, X., Xue, Z., Guo, Y., Chen, D., Liang, H., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48117-3 · Cited by 58
Xu, Z., Luo, H., Ji, A., Zhang, X., Song, J., & Chen, S. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00100 · Cited by 60
Bayesian transcriptome assembly
Maretty, L., Sibbesen, J. A., & Krogh, A. (2014) · Genome biology · doi:10.1186/preaccept-1252669119119544 · Cited by 60
Wang, X., You, X. A., Langer, J. D., Hou, J., Rupprecht, F., Vlatkovic, I., Quedenau, C., Tushev, G., Epstein, I., Schaefke, B., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13037-0 · Cited by 57
Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing
Bayega, A., Fahiminiya, S., Oikonomopoulos, S., & Ragoussis, J. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7834-2_11 · Cited by 58
IDP-denovo: de novo transcriptome assembly and isoform annotation by hybrid sequencing
Fu, S., Ma, Y., Yao, H., Xu, Z., Chen, S., Song, J., & Au, K. F. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty098 · Cited by 54
Self-citationTERA-Seq: true end-to-end sequencing of native RNA molecules for transcriptome characterization
Ibrahim, F., Oppelt, J., Maragkakis, M., & Mourelatos, Z. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab713 · Cited by 58
Zhang, X., Li, G., Jiang, H., Li, L., Ma, J., Li, H., & Chen, J. (2019) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2019.01.023 · Cited by 57
Revealing the transcriptomic complexity of switchgrass by PacBio long-read sequencing
Zuo, C., Blow, M. J., Sreedasyam, A., Kuo, R. C., Ramamoorthy, G., Torres‐Jerez, I., Li, G., Wang, M., Dilworth, D. J., Barry, K., et al. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1167-z · Cited by 53
Xu, D., Lin, H., Tang, Y., Huang, L., Xu, J., Nian, S., & Zhao, Y. (2021) · Horticulture Research · doi:10.1038/s41438-020-00450-6 · Cited by 58
Leblanc, V., & Marra, M. A. (2015) · Cancers · doi:10.3390/cancers7030869 · Cited by 57
Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon
Sahlin, K., Tomaszkiewicz, M., Makova, K. D., & Medvedev, P. (2018) · Nature Communications · doi:10.1038/s41467-018-06910-x · Cited by 54
Getting the Entire Message: Progress in Isoform Sequencing
Hardwick, S. A., Joglekar, A., Flicek, P., Frankish, A., & Tilgner, H. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00709 · Cited by 59
Deonovic, B., Wang, Y., Weirather, J. L., Wang, X., & Au, K. F. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1076 · Cited by 56
Self-citationTeng, K., Teng, W., Wen, H., Yue, Y., Guo, W., Wu, J., & Fan, X. (2019) · BMC Genomics · doi:10.1186/s12864-019-6163-6 · Cited by 51
Sun, Q., Ye, H., He, J., Wang, J., Ma, X., Ning, Q., Zhao, Q., Jin, Q., Yang, L., Li, S., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01226-y · Cited by 52
Systematic assessment of long-read RNA-seq methods for transcript identification and quantificationPreprint
Pardo-Palacios, F. J., Reese, F., Sala, S. C., Diekhans, M., Liang, C., Wang, D., Williams, B. A., Adams, M. S., Behera, A. K., Lagarde, J., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-777702/v1 · Cited by 50
Self-citationFeng, X., Jia, Y., Zhu, R., Chen, K., & Chen, Y. (2019) · DNA Research · doi:10.1093/dnares/dsz014 · Cited by 50
Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana)
González‐Ibeas, D., Martínez‐García, P. J., Famula, R. A., Mix, A. D., Stevens, K., Loopstra, C. A., Langley, C. H., Neale, D. B., & Wegrzyn, J. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.116.032805 · Cited by 51
Lou, H., Ding, M., Wu, J., Zhang, F., Chen, W., Yang, Y., Suo, J., Yu, W., Xu, C., & Song, L. (2019) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b06138 · Cited by 49
Dong, X., Tian, L., Gouil, Q. A., Kariyawasam, H., Su, S., Paoli‐Iseppi, R. D., Prawer, Y. D. J., Clark, M. B., Breslin, K. A., Iminitoff, M., et al. (2021) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab028 · Cited by 43
Single-molecule long-read sequencing facilitates shrimp transcriptome research
Zeng, D., Chen, X., Peng, J., Yang, C., Peng, M., Zhu, W., Xie, D., He, P., Wei, P., Lin, Y., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-35066-3 · Cited by 46
Shannon: An Information-Optimal de Novo RNA-Seq AssemblerPreprint
Kannan, S., Hui, J., Mazooji, K., Pachter, L. S., & Tse, D. N. C. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/039230 · Cited by 47
Computational Identification of Novel Genes: Current and Future Perspectives
Klasberg, S., Bitard‐Feildel, T., & Mallet, L. (2016) · Bioinformatics and Biology Insights · doi:10.4137/bbi.s39950 · Cited by 44
Metadata
- Authors
- Au, K. F., Sebastiano, V., Afshar, P. T., Durruthy, J. D., Lee, L., Williams, B. A., van Bakel, H., Schadt, E. E., Reijo-Pera, R. A., Underwood, J. G., & Wong, W. H.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- Center for Human Pluripotent Stem Cell Research and Education, Department of Obstetrics and Gynecology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305;
- Invitae (United States) (US)
- California Institute of Technology (US)
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY 10029-6574; and
- Icahn School of Medicine at Mount Sinai (US)
- University of Washington (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-11-26
- Volume
- 110
- Issue
- 50
- Pages
- E4821-30
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3864310
- OpenAlex
- W2054841963
- Cited by
- 341
- References
- 34
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 19 · 2023: 17 · 2022: 34 · 2021: 49 · 2020: 33 · 2019: 48 · 2018: 28 · 2017: 31 · 2016: 24 · 2015: 21 · 2014: 19
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (U01HL100397)
- National Human Genome Research Institute (U54HG004576, R01HG005717, U54HG006998)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD068158)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- human embryonic stem cells, transcriptome, isoform identification, novel transcripts, pluripotency genes, gene expression profiling, hybrid sequencing, transcriptome completeness
- MeSH terms
- Humans, Male, Alternative Splicing, Protein Isoforms, Gene Expression Profiling, Embryonic Stem Cells, High-Throughput Nucleotide Sequencing, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review