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John I. Powell

dblp:15/34 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.012002
A bioinformatics tool to select sequences for microarray studies of mouse models of oncogenesis · Bioinform. 2002
Bioinformatics and computational biology
microarray probe design
0.012002
A bioinformatics tool to select sequences for microarray studies of mouse models of oncogenesis · Bioinform. 2002
Bioinformatics and computational biology
cancer genomics
0.012002
A bioinformatics tool to select sequences for microarray studies of mouse models of oncogenesis · Bioinform. 2002

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

sequence mining · 0.0homology-based annotation · 0.0
YearPublicationVenuePosition
2002 A bioinformatics tool to select sequences for microarray studies of mouse models of oncogenesis
abstract
Abstract One of the challenges to the effective utilization of cDNA microarray analysis in mouse models of oncogenesis is the choice of a critical set of probes that are informative for human disease. Given the thousands of genes with a potential role in human oncogenesis and the hundreds of thousands of mouse sequences available for use as probes, selection of an informative set of mouse probes can be an overwhelming task. We have developed a web based sequence mining tool using DataBase Independent (DBI) Perl to annotate publicly available sequences. The Mouse Oncochip Design Tool uses the Mouse Genome Database (MGD) developed and maintained by the Jackson Laboratories for mouse DNA sequences. There are over 380 000 sequences in their database. The output list has been ordered to present the genes more likely to be informative in a mouse model of human cancer using a candidate set of oncogenes to order the list. Mouse sequences that represent genes that are homologous with a member of a human oncogene set are listed first. In addition it provides a set of links for information on clone source gene function. Contact: http://nciarray.nci.nih.gov/cgi-bin/me/mouse_design.cgi * To whom correspondence should be addressed. 5 Current address: Department of Pathology and Biomedical Informatics, Vanderbilt University Medical Center, MCN C-3321, Nashville TN 37232, USA. 6 Current address: Department of Pharmacology, School of Medicine, University of Colorado Health Sciences Center, 4200 E Ninth Avenue, Denver CO 80262, USA. 7 Current address: Genome Institute of Singapore, 1 Research Link, IMA Building #04-01, National University of Singapore, Singapore 117604.
Mary E. Edgerton, Ronald C. Taylor, John I. Powell, Lawrence Hunter, Richard Simon, Edison T. Liu
Bioinform.3