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C. A. Soderlund

dblp:01/1156 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1Applied, 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
2 papers
Bioinformatics and computational biology · 70% Environmental and earth informatics · 30%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics › meteorology
meteorological analysis		 0.011992
MERCURY: A Heterogeneous System for Spatial Extrapolation for Mesoscale Meteorological Data · Int. J. Man Mach. Stud. 1992
Bioinformatics and computational biology › genome annotation › gene prediction
ab initio gene prediction		 0.011990
gm: a practical tool for automating DNA sequence analysis · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology › sequence analysis
DNA sequence analysis		 0.011990
gm: a practical tool for automating DNA sequence analysis · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology › genome annotation
gene prediction		 0.011990
gm: a practical tool for automating DNA sequence analysis · Comput. Appl. Biosci. 1990
High-performance computing
scientific computing systems		 0.011992
MERCURY: A Heterogeneous System for Spatial Extrapolation for Mesoscale Meteorological Data · Int. J. Man Mach. Stud. 1992

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

spatial extrapolation · 0.0heterogeneous system · 0.0consensus matrix · 0.0codon asymmetry table · 0.0
YearPublicationVenuePosition
1992 MERCURY: A Heterogeneous System for Spatial Extrapolation for Mesoscale Meteorological Data
Chris Fields 0001, J. E. Newberry, Heather D. Pfeiffer, C. A. Soderlund, Stephen F. Kirby, G. B. McWilliams
 Int. J. Man Mach. Stud.4
1990 gm: a practical tool for automating DNA sequence analysis
abstract
The gm (gene modeler) program automates the identification of candidate genes in anonymous, genomic DNA sequence data. gm accepts sequence data, organism-specific consensus matrices and codon asymmetry tables, and a set of parameters as input; it returns a set of models describing the structures of candidate genes in the sequence and a corresponding set of predicted amino acid sequences as output, gm is implemented in C, and has been tested on Sun, VAX, Sequent, MIPS and Cray computers. It is capable of analyzing sequences of several kilobases containing multi-exon genes in less than 1 min execution time on a Sun 4/60.
Chris Fields 0001, C. A. Soderlund
 Comput. Appl. Biosci.2