Unknown

Dataset Information

0

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.

SUBMITTER: Rodriguez OL 

PROVIDER: S-EPMC7523683 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

MsPAC: a tool for haplotype-phased structural variant detection.

Rodriguez Oscar L OL   Ritz Anna A   Sharp Andrew J AJ   Bashir Ali A  

Bioinformatics (Oxford, England) 20200201 3


<h4>Summary</h4>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 con  ...[more]

Similar Datasets

| S-EPMC4720449 | biostudies-literature
| S-EPMC4083868 | biostudies-literature
| S-EPMC10883419 | biostudies-literature
| S-EPMC9646362 | biostudies-literature
| S-EPMC7961889 | biostudies-literature
| S-EPMC6423372 | biostudies-literature
| S-EPMC7178392 | biostudies-literature
| S-EPMC8686633 | biostudies-literature
| S-EPMC9156671 | biostudies-literature
| S-EPMC10710436 | biostudies-literature