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Oscar L. Rodriguez

dblp:258/2416 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-4587-6124ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 › sequence analysis › sequence assembly
genome assembly
0.412020
MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly › diploid genome assembly
haplotype-resolved assembly
0.412020
MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020
Bioinformatics and computational biology › genomics › structural variation
structural variant detection
0.412020
MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020

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

long-read sequencing · 0.4linked-read barcoding · 0.4
YearPublicationVenuePosition
2020 MsPAC: a tool for haplotype-phased structural variant detection
abstract
SUMMARY: While next-generation sequencing (NGS) has dramatically increased the availability of genomic data, phased genome assembly and structural variant (SV) analyses are limited by NGS read lengths. Long-read sequencing from Pacific Biosciences and NGS barcoding from 10x Genomics hold the potential for far more comprehensive views of individual genomes. Here, we present MsPAC, a tool that combines both technologies to partition reads, assemble haplotypes (via existing software) and convert assemblies into high-quality, phased SV predictions. MsPAC represents a framework for haplotype-resolved SV calls that moves one step closer to fully resolved, diploid genomes. AVAILABILITY AND IMPLEMENTATION: https://github.com/oscarlr/MsPAC. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Oscar L. Rodriguez, Anna M. Ritz, Andrew J. Sharp, Ali Bashir
Bioinform.1