Cited by 287Genomics and Phylogenetic StudiesGenome Rearrangement AlgorithmsFractal and DNA sequence analysis

Genome-wide synteny through highly sensitive sequence alignment: Satsuma

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Grabherr, Manfred G., Russell, Pamela, Meyer, Miriah, Mauceli, Evan, Alföldi, Jessica, Di Palma, Federica, Lindblad-Toh, Kerstin·2010·Bioinformatics

Abstract

Motivation: Comparative genomics heavily relies on alignments of large and often complex DNA sequences. From an engineering perspective, the problem here is to provide maximum sensitivity (to find all there is to find), specificity (to only find real homology) and speed (to accommodate the billions of base pairs of vertebrate genomes). Results: Satsuma addresses all three issues through novel strategies: (i) cross-correlation, implemented via fast Fourier transform; (ii) a match scoring scheme that eliminates almost all false hits; and (iii) an asynchronous ‘battleship’-like search that allows for aligning two entire fish genomes (470 and 217 Mb) in 120 CPU hours using 15 processors on a single machine. Availability: Satsuma is part of the Spines software package, implemented in C++ on Linux. The latest version of Spines can be freely downloaded under the LGPL license from http://www.broadinstitute.org/science/programs/genome-biology/spines/ Contact: grabherr@broadinstitute.org

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  • The alignment-based method SatsumaSynteny2 takes pairs of genome sequences as input and implements a dynamic programming algorithm for chaining the pairwise alignment blocks.

    “The alignment-based method SatsumaSynteny2 takes pairs of genome sequences as input and implements a dynamic programming algorithm for chaining the pairwise alignment blocks.”

    From halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments (2020) · cites this paper as [5]

    The Introduction (p. 1) describes Satsuma comparing query and target genomic sequences, and the Synteny filter (p. 3) says it uses dynamic programming to chain alignment matches. The paper describes Satsuma, however, not a method named SatsumaSynteny2, so it does not establish that the named method has these features. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The results of SatsumaSynteny2 in terms of genome coverage are similar to the ones reported by the benchmark study for the older version of SatsumaSynteny.

    “The results of SatsumaSynteny2 in terms of genome coverage are similar to the ones reported by the benchmark study [14] for the older version of the tool SatsumaSynteny [5].”

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Research works printed but not linked: 4

  1. Brodzik,A.K. (2005)Acomparative study of cross-correlation methods for alignment of DNAsequences containing repetitive patterns. In 13th European Signal Processing Conference EU-SIPCO 2005 . Available at http://www.eurasip.org/Proceedings/ Eusipco/Eusipco2005/defevent/papers/cr1487.pdf
  2. Kent,W.J. et al . (2003) Evolution's cauldron: duplication, deletion, and rearrangement in the mouse and human genomes. Proc. Natl Acad. Sci. USA , 100 , 11484-11489.
  3. Lipman,D.J. and Pearson,W.R. (1985) Rapid and sensitive protein similarity searches. Science , 227 , 1435-1441.
  4. Pearson,W.R. (1991) Searching protein sequence libraries: comparison of the sensitivity and selectivity of the Smith-Waterman and FASTA algorithms. Genomics , 11 , 635-650.

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Authors
Grabherr, M. G., Russell, P., Meyer, M., Mauceli, E., Alföldi, J., Di Palma, F., & Lindblad-Toh, K.
Affiliations
  • Broad Institute (US)
  • 1 Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, 2 School of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge, MA 02138, USA and 3 Department of Medical Biochemistry and Microbiology, Uppsala University, Box 597, SE-751 24 Uppsala, Sweden
Corresponding author
Grabherr, Manfred G.
Venue
Bioinformatics
Published
2010-03-05
Volume
26
Issue
9
Pages
1145-1151
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2109809376
Cited by
287
References
3
Citations by year
2026: 27 · 2025: 31 · 2024: 30 · 2023: 21 · 2022: 28 · 2021: 33 · 2020: 29 · 2019: 24 · 2018: 17 · 2017: 14 · 2016: 7 · 2015: 7 · 2014: 9 · 2013: 2 · 2012: 1
FWCI
1.21
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Human Genome Research Institute (U54HG003067)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
Keywords
comparative genomics, sequence alignment, cross correlation function, fast Fourier transform, match scoring, parallel alignment, vertebrate genomes, fish genomes
MeSH terms
Algorithms, Animals, Fourier Analysis, Humans, Probability, Programming Languages, Oryza, Software, Models, Statistical, Sequence Alignment, Genome, Computational Biology, Genomics, Tetraodontiformes, Sorghum

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