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Jun-Yang Xu

dblp:241/2225 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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
0.412019
PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files · Bioinform. 2019
Bioinformatics and computational biology
population genetics
0.412019
PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files · Bioinform. 2019
Bioinformatics and computational biology › genomics › genomic variant analysis
variant call format processing
0.412019
PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files · Bioinform. 2019

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

penalized regression · 0.4
YearPublicationVenuePosition
2019 PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files
abstract
MOTIVATION: Linkage disequilibrium (LD) decay is of great interest in population genetic studies. However, no tool is available now to do LD decay analysis from variant call format (VCF) files directly. In addition, generation of pair-wise LD measurements for whole genome SNPs usually resulting in large storage wasting files. RESULTS: We developed PopLDdecay, an open source software, for LD decay analysis from VCF files. It is fast and is able to handle large number of variants from sequencing data. It is also storage saving by avoiding exporting pair-wise results of LD measurements. Subgroup analyses are also supported. AVAILABILITY AND IMPLEMENTATION: PopLDdecay is freely available at https://github.com/BGI-shenzhen/PopLDdecay.
Jun-Yang Xu, Weiming He, Tie-Lin Yang
Bioinform.3