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tools bioinformatics AI Skills

Discover tools bioinformatics skills, compare source repositories and read the instructions for each workflow.

Categories: tools bioinformatics

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GitHub

bio-microbiome-diversity-analysis

GPTomics

Alpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across sampl...

GitHub

bio-chipseq-qc

GPTomics

ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use...

GitHub

bio-longread-structural-variants

GPTomics

Detect structural variants from long-read alignments using Sniffles, cuteSV, and SVIM. Use when detecting deletions, insertions, inversions, translocations, or complex rearrangements from ONT or PacBio data, es...

GitHub

bio-alignment-io

GPTomics

Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis...

GitHub

bio-single-cell-scatac-analysis

GPTomics

Single-cell ATAC-seq analysis with Signac (R/Seurat) and ArchR. Process 10X Genomics scATAC data, perform QC, dimensionality reduction, clustering, peak calling, and motif activity scoring with chromVAR.

GitHub

bio-consensus-sequences

GPTomics

Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes.

GitHub

bio-pileup-generation

GPTomics

Generate pileup data for variant calling using samtools mpileup and pysam. Use when preparing data for variant calling, analyzing per-position read data, or calculating allele frequencies.

GitHub

bio-read-qc-quality-filtering

GPTomics

Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have...

GitHub

bio-variant-calling-joint-calling

GPTomics

Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR.

GitHub

bio-phylo-tree-manipulation

GPTomics

Modify phylogenetic tree structure using Biopython Bio.Phylo. Use for rooting trees with outgroups or midpoint, pruning taxa, collapsing clades, ladderizing branches, and extracting subtrees.

GitHub

bio-atac-seq-footprinting

GPTomics

Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 c...

GitHub

bio-reverse-complement

GPTomics

Generate reverse complements and complements of DNA/RNA sequences using Biopython. Use when working with opposite strands, primer design, or converting between template and coding strands.

GitHub

bio-hi-c-analysis-hic-differential

GPTomics

Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps.

GitHub

bio-workflows-somatic-variant-pipeline

GPTomics

End-to-end somatic variant calling from tumor-normal paired samples using Mutect2 or Strelka2. Covers preprocessing, variant calling, filtering, and annotation for cancer genomics.

GitHub

bio-imaging-mass-cytometry-data-preprocessing

GPTomics

Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for se...

GitHub

bio-phasing-imputation-genotype-imputation

GPTomics

Impute missing genotypes using reference panels with Beagle or Minimac4. Use when increasing variant density for GWAS, harmonizing data across genotyping platforms, or inferring variants not directly typed in a...

GitHub

bio-read-qc-adapter-trimming

GPTomics

Remove sequencing adapters from FASTQ files using Cutadapt and Trimmomatic. Supports single-end and paired-end reads, Illumina TruSeq, Nextera, and custom adapter sequences. Use when FastQC shows adapter contam...

GitHub

bio-long-read-sequencing-clair3-variants

GPTomics

Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinic...

GitHub

bio-vcf-statistics

GPTomics

Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck. Use when evaluating variant quality, comparing samples, or summarizing VCF contents.

GitHub

bio-duplicate-handling

GPTomics

Mark and remove PCR/optical duplicates using samtools fixmate and markdup. Use when preparing alignments for variant calling or when duplicate reads would bias analysis.

GitHub

bio-gatk-variant-calling

GPTomics

Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use for produc...

GitHub

bio-metagenomics-abundance

GPTomics

Species abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed fro...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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