Shuhua-Group / CPC-graph-based-NGS-pipelineLinks
A graph-based pipeline used to call/genotype snvs/indels/SVs from NGS data
☆16Updated 10 months ago
Alternatives and similar repositories for CPC-graph-based-NGS-pipeline
Users that are interested in CPC-graph-based-NGS-pipeline are comparing it to the libraries listed below
Sorting:
- LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on VCF files☆32Updated last month
- Code for Article "A pan-genome of 69 Arabidopsis thaliana accessions reveals a conserved genome structure throughout the global species r…☆23Updated last year
- scripts for the project of seven thaliana genomes assembly☆40Updated 4 years ago
- “When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau☆19Updated 5 years ago
- ☆27Updated 2 years ago
- scripts used for processing and analyzing data in the article.☆13Updated 5 years ago
- A pipeline for isoseq☆23Updated 7 years ago
- Scripts that used in our chicken T2T manuscript.☆20Updated 2 years ago
- Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions☆31Updated 8 months ago
- crussmap is a faster tool to convert genome coordinates between difference reference assemblies.☆20Updated 2 years ago
- Variant annotation and merging pipeline☆39Updated 2 weeks ago
- ☆26Updated 3 years ago
- ☆24Updated 2 years ago
- Guide through code for a Minimmap2 genome alignment and a seq-seq-pan pan-genome alignment with visualizations in R. The tutorial present…☆18Updated 2 months ago
- Structural variant merging tool☆53Updated 11 months ago
- Identify and annotate TE-mediated insertions in long-read sequence data☆42Updated last month
- Scripts to convert between file formats for various analyses☆17Updated 2 months ago
- tutorial on pggb☆35Updated 6 months ago
- Bulked-Segregant Analysis using vcf file with or without parents☆29Updated 7 months ago
- The cattle Genotype-Tissue Expression atlas v1☆26Updated 2 years ago
- A comprehensive pipeline for RNAseq data analysis