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Betty Haldeman

dblp:10/6514 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › template-based modeling
fold recognition
0.112005
Gene finding for the helical cytokines · Bioinform. 2005
Bioinformatics and computational biology › genome annotation
gene prediction
0.112005
Gene finding for the helical cytokines · Bioinform. 2005
Bioinformatics and computational biology
protein structure prediction
0.112005
Gene finding for the helical cytokines · Bioinform. 2005
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein family
0.012005
Gene finding for the helical cytokines · Bioinform. 2005

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

threading · 0.1cross-validation · 0.1
YearPublicationVenuePosition
2005 Gene finding for the helical cytokines
abstract
MOTIVATION: Gene finding remains an open problem well after the sequencing of the human genome. The low gene sensitivity of current methods is a problem for divergent protein families, because fairly accurate exon assemblies are required before sensitive fold recognition algorithms can be applied. This paper presents a new genomic threading algorithm which integrates the gene finding and fold recognition steps into a single process. The method is applicable to evolutionarily divergent protein families that have retained some trace of their common ancestry, number and phase of introns, sizes of exons and placement of structural elements on specific exons. Such conserved structural signals may be visible despite dramatic evolution of protein sequence. RESULTS: The method is evaluated on the family of helical cytokines by cross-validation sensitivity analysis. The method has also been applied to all intergenic regions of the human genome, and an expression and cloning approach has been coupled with the predictions of the method. Two genes discovered by this method are discussed. SUPPLEMENTARY INFORMATION: All data used and the results obtained in the cross-validation analysis are available at http://www.soi.city.ac.uk/~conklin/papers/GT/
Darrell Conklin, Betty Haldeman, Zeren Gao
Bioinform.2