MsPAC
MsPAC integrates Pacific Biosciences long-read sequencing and 10x Genomics NGS barcoding to partition reads, assemble haplotypes, and produce haplotype-resolved structural variant (SV) predictions for diploid genome analysis.
Key Features:
- Integration of sequencing technologies: Integrates Pacific Biosciences long-read sequencing with 10x Genomics NGS barcoding for combined analysis.
- Read partitioning: Partitions reads to enable haplotype-specific assembly.
- Haplotype assembly: Assembles haplotypes using existing software frameworks.
- Phased structural variant prediction: Transforms haplotype assemblies into high-quality, phased structural variant predictions.
- Long-read resolution: Leverages long reads to span large genomic regions and resolve complex variants.
- NGS barcoding linkage: Utilizes 10x Genomics barcodes to provide high-throughput linkage information for phasing.
- Haplotype-resolved SV calls: Produces haplotype-resolved SV calls suitable for diploid genome analyses.
Scientific Applications:
- Haplotype-resolved SV detection: Enables detection and phasing of structural variants in diploid genomes.
- Genomics research: Supports comprehensive structural variant analyses in genomics studies.
- Personalized medicine: Facilitates identification of structural variants relevant to disease susceptibility and clinical research.
- Evolutionary biology: Aids studies of genetic variation and phenotypic diversity in evolutionary analyses.
Methodology:
Combines Pacific Biosciences long reads with 10x Genomics barcodes, partitions reads, assembles haplotypes with existing software frameworks, and converts assemblies into phased structural variant predictions.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 8/11/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Rodriguez OL, Ritz A, Sharp AJ, Bashir A. MsPAC: a tool for haplotype-phased structural variant detection. Bioinformatics. 2019;36(3):922-924. doi:10.1093/bioinformatics/btz618. PMID:31397844. PMCID:PMC7523683.
Documentation
Links
Issue tracker
https://github.com/oscarlr/MsPAC/issues