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Joseph M. Connors

dblp:13/7594 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics › transcript assembly
de novo transcriptome assembly
0.112009
De novo transcriptome assembly with ABySS · Bioinform. 2009
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.112009
De novo transcriptome assembly with ABySS · Bioinform. 2009
Bioinformatics and computational biology
sequence analysis
0.112009
De novo transcriptome assembly with ABySS · Bioinform. 2009
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
short read assembly
0.112009
De novo transcriptome assembly with ABySS · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

de bruijn graph · 0.1
YearPublicationVenuePosition
2009 De novo transcriptome assembly with ABySS
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 approximately 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: [email protected].
Inanç Birol, Shaun D. Jackman, Cydney B. Nielsen, Jenny Q. Qian, Richard Varhol, Greg Stazyk, Ryan D. Morin, Yongjun Zhao 0002, Martin Hirst, Jacqueline E. Schein, Douglas E. Horsman, Joseph M. Connors, Randy D. Gascoyne, Marco A. Marra, Steven J. M. Jones
Bioinform.12