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Bioinformatics
Article . 2009 . Peer-reviewed
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Bioinformatics
Article
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Bioinformatics
Article . 2010
DBLP
Article . 2024
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De novo transcriptome assembly with ABySS

Authors: Inanç Birol; Shaun D. Jackman; Cydney B. Nielsen; Jenny Q. Qian; Richard Varhol; Greg Stazyk; Ryan D. Morin; +8 Authors

De novo transcriptome assembly with ABySS

Abstract

Abstract Motivation: Whole transcriptome shotgun sequencing data from non-normalized samples offer unique opportunities to study the metabolic states of organisms. One can deduce gene expression levels using sequence coverage as a surrogate, identify coding changes or discover novel isoforms or transcripts. Especially for discovery of novel events, de novo assembly of transcriptomes is desirable. Results: Transcriptome from tumor tissue of a patient with follicular lymphoma was sequenced with 36 base pair (bp) single- and paired-end reads on the Illumina Genome Analyzer II platform. We assembled ∼194 million reads using ABySS into 66 921 contigs 100 bp or longer, with a maximum contig length of 10 951 bp, representing over 30 million base pairs of unique transcriptome sequence, or roughly 1% of the genome. Availability and Implementation: Source code and binaries of ABySS are freely available for download at http://www.bcgsc.ca/platform/bioinfo/software/abyss. Assembler tool is implemented in C++. The parallel version uses Open MPI. ABySS-Explorer tool is implemented in Java using the Java universal network/graph framework. Contact: ibirol@bcgsc.ca

Country
Australia
Related Organizations
Keywords

570, Genome, Gene Expression Profiling, Databases, Genetic, 610, Computational Biology, Sequence Analysis, DNA, 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!
346
Top 1%
Top 1%
Top 1%
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