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Jacob Silterra

dblp:165/0698 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0001-9159-5836ORCID · reported

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
alternative splicing analysis
0.212015
Quantitative visualization of alternative exon expression from RNA-seq data · Bioinform. 2015
Bioinformatics and computational biology › transcriptomics
isoform expression visualization
0.212015
Quantitative visualization of alternative exon expression from RNA-seq data · Bioinform. 2015
Bioinformatics and computational biology
transcriptomics
0.212015
Quantitative visualization of alternative exon expression from RNA-seq data · Bioinform. 2015
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.112015
Quantitative visualization of alternative exon expression from RNA-seq data · Bioinform. 2015
YearPublicationVenuePosition
2015 Quantitative visualization of alternative exon expression from RNA-seq data
abstract
Abstract Motivation: Analysis of RNA sequencing (RNA-Seq) data revealed that the vast majority of human genes express multiple mRNA isoforms, produced by alternative pre-mRNA splicing and other mechanisms, and that most alternative isoforms vary in expression between human tissues. As RNA-Seq datasets grow in size, it remains challenging to visualize isoform expression across multiple samples. Results: To help address this problem, we present Sashimi plots, a quantitative visualization of aligned RNA-Seq reads that enables quantitative comparison of exon usage across samples or experimental conditions. Sashimi plots can be made using the Broad Integrated Genome Viewer or with a stand-alone command line program. Availability and implementation: Software code and documentation freely available here: http://miso.readthedocs.org/en/fastmiso/sashimi.html Contact: [email protected], [email protected] or [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Yarden Katz, Eric T. Wang, Jacob Silterra, Schraga Schwartz, Bang Wong, Helga Thorvaldsdóttir, James T. Robinson, Jill P. Mesirov, Edoardo M. Airoldi, Christopher B. Burge
Bioinform.3