Evidence map›Paper›PMID 32093618›Full record

ArticleBMC genomics2020

GSAlign: an efficient sequence alignment tool for intra-species genomes.

Hsin-Nan Lin, Wen-Lian Hsu

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  4. Accelerating minimap2 for whole-genome alignment.Bioinformatics (Oxford, England) · 2026
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  13. Frontiers in microbiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hsin-Nan LinInstitute of Information Science, Academia Sinica, Taipei, Taiwan.
Wen-Lian HsuInstitute of Information Science, Academia Sinica, Taipei, Taiwan. hsu@iis.sinica.edu.tw.

Funding

Ministry of Science and Technology, Taiwan 105-2319-B-400-002
6 · The paper itself

Abstract

backgroundPersonal genomics and comparative genomics are becoming more important in clinical practice and genome research. Both fields require sequence alignment to discover sequence conservation and variation. Though many methods have been developed, some are designed for small genome comparison while some are not efficient for large genome comparison. Moreover, most existing genome comparison tools have not been evaluated the correctness of sequence alignments systematically. A wrong sequence alignment would produce false sequence variants.

resultsIn this study, we present GSAlign that handles large genome sequence alignment efficiently and identifies sequence variants from the alignment result. GSAlign is an efficient sequence alignment tool for intra-species genomes. It identifies sequence variations from the sequence alignments. We estimate performance by measuring the correctness of predicted sequence variations. The experiment results demonstrated that GSAlign is not only faster than most existing state-of-the-art methods, but also identifies sequence variants with high accuracy.

conclusionsAs more genome sequences become available, the demand for genome comparison is increasing. Therefore an efficient and robust algorithm is most desirable. We believe GSAlign can be a useful tool. It exhibits the abilities of ultra-fast alignment as well as high accuracy and sensitivity for detecting sequence variations.

Indexed as

GenomeSoftwareAlgorithmsGenomicsSequence AlignmentSequence Analysis, DNAComparative genomicsGenome comparisonPersonal genomicsSequence alignmentVariation detection

Identifiers

PMID32093618
PMCPMC7041101

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.