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Dewey Kim

dblp:19/9916 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
cancer genomics		 0.112011
CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer · Bioinform. 2011
Bioinformatics and computational biology › cancer genomics
somatic mutation analysis		 0.112011
CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer · Bioinform. 2011

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

predictive feature database · 0.1
YearPublicationVenuePosition
2011 CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer
abstract
SUMMARY: Thousands of cancer exomes are currently being sequenced, yielding millions of non-synonymous single nucleotide variants (SNVs) of possible relevance to disease etiology. Here, we provide a software toolkit to prioritize SNVs based on their predicted contribution to tumorigenesis. It includes a database of precomputed, predictive features covering all positions in the annotated human exome and can be used either stand-alone or as part of a larger variant discovery pipeline. AVAILABILITY AND IMPLEMENTATION: MySQL database, source code and binaries freely available for academic/government use at http://wiki.chasmsoftware.org, Source in Python and C++. Requires 32 or 64-bit Linux system (tested on Fedora Core 8,10,11 and Ubuntu 10), 2.5*≤ Python <3.0*, MySQL server >5.0, 60 GB available hard disk space (50 MB for software and data files, 40 GB for MySQL database dump when uncompressed), 2 GB of RAM.
Wing Chung Wong, Dewey Kim, Hannah Carter, Mark Diekhans, Michael C. Ryan, Rachel Karchin
 Bioinform.2