NanoCross
NanoCross detects recombinant crossover events in eukaryotic genomes using Oxford Nanopore Technologies (ONT) long-read sequencing to map meiotic recombination and construct high-resolution recombination maps.
Key Features:
- Error Reduction: Reduces sequencing errors inherent in ONT reads to improve accuracy of downstream analyses.
- Haplotype Construction: Constructs individual haplotypes from homopolymer-filtered ONT sequences.
- Recombination Event Detection: Analyzes individual molecule reads to estimate cross-recombinant (crossover) events leveraging ONT long-read resolution.
- Sensitivity and Specificity: Simulations demonstrate maintained balance between sensitivity and specificity under moderate heterozygous variation density and adequate sequencing depth.
- High-Resolution Recombination Mapping: Facilitates construction of high-resolution recombination maps for individual genomes, exemplified by application to wild boar and comparisons with male breeding pig populations.
Scientific Applications:
- Recombination Mapping: Generation of detailed meiotic recombination maps for individual genomes using ONT data.
- Evolutionary Genetics: Investigation of genetic diversity and the molecular basis of meiotic recombination across taxa.
- Comparative Genomics: Comparison of recombination landscapes between populations or species, such as wild boar versus breeding pigs.
- Rate Variation Studies: Analysis of how recombination rates vary and what genomic or population factors influence those variations.
Methodology:
Computational steps explicitly stated include error reduction of ONT sequences, haplotype construction from homopolymer-filtered reads, estimation of cross-recombinant events from individual molecule reads, and validation by simulations.
Topics
Details
- License:
- Other
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- R, Shell
- Added:
- 11/15/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Chen Z, Xie L, Tang X, Zhang Z. NanoCross: A pipeline that detecting recombinant crossover using ONT sequencing data. Genomics. 2022;114(6):110499. doi:10.1016/j.ygeno.2022.110499. PMID:36174880.
PMID: 36174880