bioinformatics

You can access over 400 bioinformatics skills and reference materials for RNA-seq data analysis by retrieving the appropriate pipelines and tools on demand from the bioSkills and ClawBio repositories.

Yes, single-cell analysis is supported. The Skill provides access to tools and pipelines designed for single-cell workflows, leveraging Python libraries like scanpy and anndata for data processing.

For genomic sequence analysis, you can utilize integrated tools like samtools, bcftools, and minimap2. The Skill streamlines fetching the necessary pipelines to process and analyze your sequence data.

Yes, tasks like variant calling and sequence alignment require dependencies such as pysam, cyvcf2, biopython, and ncbi-blast+. The Skill is designed to operate within an environment containing these bioinformatics libraries.

The Skill fetches domain-specific reference material on demand. You simply request the reference information needed for your transcriptomics tasks, and it retrieves the relevant documentation from its repositories.

Differential expression analysis using DESeq2 and edgeR requires proper input data formatting and a configured environment with R and Python bioinformatics libraries to execute the pipelines correctly.