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John C. Cushman

dblp:38/3931 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · unresolved

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 › transcriptomics
expressed sequence tag analysis		 0.012003
ESTAP-an automated system for the analysis of EST data · Bioinform. 2003
Bioinformatics and computational biology › biological database
sequence database management		 0.012003
ESTAP-an automated system for the analysis of EST data · Bioinform. 2003

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

web-based visualization · 0.0automated cleansing · 0.0
YearPublicationVenuePosition
2003 ESTAP-an automated system for the analysis of EST data
abstract
The EST Analysis Pipeline (ESTAP) is a set of analytical procedures that automatically verify, cleanse, store and analyze ESTs generated on high-throughput platforms. It uses a relational database to store sequence data and analysis results, which facilitates both the search for specific information and statistical analysis. ESTAP provides for easy viewing of the original and cleansed data, as well as the analysis results via a Web browser. It also allows the data owner to submit selected sequences to dbEST in a semi-automated fashion.
Chunhong Mao, John C. Cushman, Gregory D. May, Jennifer W. Weller
 Bioinform.2