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Yuandan Lee

dblp:22/1796 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence clustering
EST clustering		 0.012003
TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets · Bioinform. 2003
Bioinformatics and computational biology
sequence analysis		 0.012003
TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets · Bioinform. 2003
Bioinformatics and computational biology › transcriptomics
transcript assembly		 0.012003
TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets · Bioinform. 2003
Bioinformatics and computational biology › sequence analysis › sequence assembly
consensus sequence generation		 0.012003
TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets · Bioinform. 2003

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

parallel computing · 0.0pairwise sequence similarity · 0.0
YearPublicationVenuePosition
2003 TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets
abstract
Abstract TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by individual clusters (optionally with quality values) to produce longer, more complete consensus sequences. The system can run on multi-CPU architectures including SMP and PVM. Availability: http://www.tigr.org/tdb/tgi/software/ Contact: [email protected]; [email protected] * To whom correspondence should be addressed.
Geo Pertea, Xiaoqiu Huang 0001, Valentin Antonescu, Razvan Sultana, Svetlana Karamycheva, Yuandan Lee, Joseph White, Foo Cheung, Babak Parvizi, Jennifer Tsai, John Quackenbush
 Bioinform.7