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José Fernando Garcia

dblp:117/3905 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0003-4109-4923ORCID · reported

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 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics
genotype data analysis		 0.112016
GHap: an R package for genome-wide haplotyping · Bioinform. 2016

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

haplotype block identification · 0.2dosage scoring · 0.2
YearPublicationVenuePosition
2016 GHap: an R package for genome-wide haplotyping
abstract
UNLABELLED: The GHap R package was designed to call haplotypes from phased marker data. Given user-defined haplotype blocks (HapBlock), the package identifies the different haplotype alleles (HapAllele) present in the data and scores sample haplotype allele genotypes (HapGenotype) based on HapAllele dose (i.e. 0, 1 or 2 copies). The output is not only useful for analyses that can handle multi-allelic markers, but is also conveniently formatted for existing pipelines intended for bi-allelic markers. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/package=GHap CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Yuri Tani Utsunomiya, Marco Milanesi, Adam T. H. Utsunomiya, Paolo Ajmone-Marsan, José Fernando Garcia
 Bioinform.5