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Te-Chin Chu

dblp:29/7252 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence alignment
genomic sequence alignment
0.112009
GR-Aligner: an algorithm for aligning pairwise genomic sequences containing rearrangement events · Bioinform. 2009
Bioinformatics and computational biology › sequence alignment
pairwise sequence alignment
0.112009
GR-Aligner: an algorithm for aligning pairwise genomic sequences containing rearrangement events · Bioinform. 2009

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

forward and reverse alignment integration · 0.1
YearPublicationVenuePosition
2009 GR-Aligner: an algorithm for aligning pairwise genomic sequences containing rearrangement events
abstract
MOTIVATION: Homologous genomic sequences between species usually contain different rearrangement events. Whether some specific patterns existed in the breakpoint regions that caused such events to occur is still unclear. To resolve this question, it is necessary to determine the location of breakpoints at the nucleotide level. The availability of sequences near breakpoints would further facilitate the related studies. We thus need a tool that can identify breakpoints and align the neighboring sequences. Although local alignment tools can detect rearrangement events, they only report a set of discontinuous alignments, where the detailed alignments in the breakpoint regions are usually missing. Global alignment tools are even less appropriate for these tasks since most of them are designed to align the conserved regions between sequences in a consistent order, i.e. they do not consider rearrangement events. RESULTS: We propose an effective and efficient pairwise sequence alignment algorithm, called GR-Aligner (Genomic Rearrangement Aligner), which can find breakpoints of rearrangement events by integrating the forward and reverse alignments of the breakpoint regions flanked by homologously rearranged sequences. In addition, GR-Aligner also provides an option to view the alignments of sequences extended to the breakpoints. These outputs provide materials for studying possible evolutionary mechanisms and biological functionalities of the rearrangement.
Te-Chin Chu, Tsunglin Liu, D. T. Lee, Greg C. Lee, Arthur Chun-Chieh Shih
Bioinform.1