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Chi-Shing Yu

dblp:126/7191 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0002-9568-8316ORCID · 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 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics › RNA-seq analysis
fusion transcript detection
0.212013
ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution · Bioinform. 2013

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

targeted de novo assembly · 0.2soft clipping analysis · 0.2read-pair analysis · 0.2
YearPublicationVenuePosition
2013 ViralFusionSeq: accurately discover viral integration events and reconstruct fusion transcripts at single-base resolution
abstract
SUMMARY: Insertional mutagenesis from virus infection is an important pathogenic risk for the development of cancer. Despite the advent of high-throughput sequencing, discovery of viral integration sites and expressed viral fusion events are still limited. Here, we present ViralFusionSeq (VFS), which combines soft-clipping information, read-pair analysis and targeted de novo assembly to discover and annotate viral-human fusions. VFS was used in an RNA-Seq experiment, simulated DNA-Seq experiment and re-analysis of published DNA-Seq datasets. Our experiments demonstrated that VFS is both sensitive and highly accurate. AVAILABILITY: VFS is distributed under GPL version 3 at http://hkbic.cuhk.edu.hk/software/viralfusionseq
Jing-Woei Li, Raymond Wan 0001, Chi-Shing Yu, Ngai Na Co, Nathalie Wong, Ting-Fung Chan
Bioinform.3