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Tin-Lap Lee

dblp:45/7238 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
0000-0002-6654-0988ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
developmental biology
0.112010
GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development · Bioinform. 2010
Bioinformatics and computational biology › biological database
gene expression database
0.112010
GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development · Bioinform. 2010
Bioinformatics and computational biology
transcriptomics
0.112010
GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development · Bioinform. 2010

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

serial analysis of gene expression · 0.1
YearPublicationVenuePosition
2010 GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development
abstract
SUMMARY: Serial analysis of gene expression (SAGE) provides an alternative, with additional advantages, to microarray gene expression studies. GonadSAGE is the first publicly available web-based SAGE database on male gonad development that covers six male mouse embryonic gonad stages, including E10.5, E11.5, E12.5, E13.5, E15.5 and E17.5. The sequence coverage of each SAGE library is beyond 150K, 'which is the most extensive sequence-based male gonadal transcriptome to date'. An interactive web interface with customizable parameters is provided for analyzing male gonad transcriptome information. Furthermore, the data can be visualized and analyzed with the other genomic features in the UCSC genome browser. It represents an integrated platform that leads to a better understanding of male gonad development, and allows discovery of related novel targets and regulatory pathways.
Tin-Lap Lee, Yunmin Li, Hoi-Hung Cheung, Janek Claus, Sumeeta Singh, Chandan Sastry, Owen M. Rennert, Yun-Fai Chris Lau, Wai-Yee Chan
Bioinform.1