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Tong W. Woon

dblp:41/5606 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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 › biological database
gene database
0.012000
IE-Kb: intron exon knowledge base · Bioinform. 2000

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

statistical analysis · 0.0
YearPublicationVenuePosition
2000 IE-Kb: intron exon knowledge base
abstract
Abstract Summary: IE-Kb (Intron Exon-Knowledge base) illustrates the intron–exon dynamics in eukaryotic genes. We have developed three different knowledge sets, namely ‘Non-redundant ExInt’, ‘Non-redundant Pfam-ExInt complement’ and ‘Non-redundant GenBank eukaryotic subdivisional sets’ to understand this phenomenon. Statistical analysis is performed on each knowledge set and the results are made available online. The entries in knowledge sets are ranked based on their intron length, exon length and protein length with relational hyper-links to the corresponding intron phase, intron position, intron sequence, gene definition and parent GenBank entry. Availability: http://intron.bic.nus.edu.sg/iekb/iekb.html Contact: [email protected] * To whom correspondence should be addressed.
Meena Kishore Sakharkar, Pandjassarame Kangueane, Tong W. Woon, Tin Wee Tan, Prasanna R. Kolatkar, Manyuan Long, Sandro J. de Souza
Bioinform.3