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Genome Research
Article
Data sources: UnpayWall
Genome Research
Article . 2009 . Peer-reviewed
Data sources: Crossref
Genome Research
Article . 2009
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ABySS: A parallel assembler for short read sequence data

Authors: Jared T, Simpson; Kim, Wong; Shaun D, Jackman; Jacqueline E, Schein; Steven J M, Jones; Inanç, Birol;

ABySS: A parallel assembler for short read sequence data

Abstract

Widespread adoption of massively parallel deoxyribonucleic acid (DNA) sequencing instruments has prompted the recent development of de novo short read assembly algorithms. A common shortcoming of the available tools is their inability to efficiently assemble vast amounts of data generated from large-scale sequencing projects, such as the sequencing of individual human genomes to catalog natural genetic variation. To address this limitation, we developed ABySS (Assembly ByShort Sequences), a parallelized sequence assembler. As a demonstration of the capability of our software, we assembled 3.5 billion paired-end reads from the genome of an African male publicly released by Illumina, Inc. Approximately 2.76 million contigs ≥100 base pairs (bp) in length were created with an N50 size of 1499 bp, representing 68% of the reference human genome. Analysis of these contigs identified polymorphic and novel sequences not present in the human reference assembly, which were validated by alignment to alternate human assemblies and to other primate genomes.

Keywords

Polymorphism, Genetic, Escherichia coli K12, Genome, Human, Computational Biology, Genetic Variation, Reproducibility of Results, Sequence Analysis, DNA, Contig Mapping, Animals, Humans, Algorithms, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3K
Top 0.01%
Top 0.01%
Top 0.01%
bronze