Convert BAM files to normalized bigWig coverage tracks.
npx skills add https://github.com/robinbarvaag/poynt --skill deeptools-robinbarvaag
Please help me install this Agent Skill. Skill: deeptools Source: https://github.com/robinbarvaag/poynt/tree/main/.github/skills/deeptools Command: npx skills add https://github.com/robinbarvaag/poynt --skill deeptools-robinbarvaag
This Skill provides a comprehensive toolkit for analyzing and visualizing high-throughput sequencing data, simplifying complex bioinformatics workflows.
Use the deeptools skill to convert a BAM file named 'sample.bam' into a normalized bigWig file named 'sample.bw'.
High-intent search queries and answers about installing and using this skill.
To convert BAM files to bigWig tracks, you use the deeptools Skill to process alignment files and generate normalized bigWig coverage tracks suitable for genome visualization.
You can check ChIP-seq replicate correlation by using the deeptools Skill to calculate quality control metrics, PCA, and correlation plots directly from your sequencing alignment files.
To create heatmaps and profile plots, the deeptools Skill generates signal enrichment visualizations around specific genomic features like TSS or known peak regions.
Yes, the NGS analysis toolkit supports ChIP-seq, RNA-seq, and ATAC-seq workflows by providing specific normalization and processing options for high-throughput sequencing data.
Yes, you need Python and associated bioinformatics libraries installed to execute the deeptools Skill and run its command-line tools for high-throughput sequencing data analysis.
galeepProvide Pythonic interfaces for SAM/BAM/CRAM and VCF/BCF genomic file operations.
LeonChaoXConvert BAM alignment files into normalized genome coverage tracks and perform QC.
jasrajtulsiValidates input files and generates templates for deepTools workflows.
ldzhhxxFetch bioinformatics skills and pipelines from bioSkills and ClawBio repositories.
