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Skills IA databases bioinformatics

Découvrez les skills databases bioinformatics, comparez leurs dépôts et consultez leurs instructions.

Catégories: databases bioinformatics

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GitHub

bio-local-blast

GPTomics

Run local BLAST searches using BLAST+ command-line tools. Use for fast unlimited searches, custom databases, large-scale analysis, and when NCBI servers are slow or unavailable.

GitHub

bio-expression-matrix-counts-ingest

GPTomics

Load gene expression count matrices from various formats including CSV, TSV, featureCounts, Salmon, kallisto, and 10X. Use when importing quantification results for downstream analysis.

GitHub

bio-proteomics-protein-inference

GPTomics

Protein grouping and inference from peptide identifications. Handles shared peptides, protein groups, and protein-level FDR control using parsimony and probabilistic approaches.

GitHub

bio-longread-qc

GPTomics

Quality control for long-read sequencing data using NanoPlot, NanoStat, and chopper. Generate QC reports, filter reads by length and quality, and visualize read characteristics. Use when assessing ONT or PacBio...

GitHub

bio-sam-bam-basics

GPTomics

View, convert, and understand SAM/BAM/CRAM alignment files using samtools and pysam. Use when inspecting alignments, converting between formats, or understanding alignment file structure.

GitHub

bio-sequence-similarity

GPTomics

Find homologous sequences using iterative BLAST (PSI-BLAST), profile HMMs (HMMER), and reciprocal best hit analysis. Use for identifying orthologs, distant homologs, and protein family members when standard BLA...

GitHub

bio-chipseq-peak-calling

GPTomics

ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats inc...

GitHub

bio-alignment-pairwise

GPTomics

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use for comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DN...

GitHub

bio-atac-seq-atac-peak-calling

GPTomics

Call accessible chromatin regions from ATAC-seq data using MACS3 with ATAC-specific parameters. Use when identifying open chromatin regions from aligned ATAC-seq BAM files, different from ChIP-seq peak calling.

GitHub

bio-pathway-go-enrichment

GPTomics

Gene Ontology over-representation analysis using clusterProfiler enrichGO. Tests whether GO terms are enriched in a gene list compared to background. Supports all three ontologies (BP, MF, CC), multiple ID type...

GitHub

bio-methylation-calling

GPTomics

Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite...

GitHub

bio-workflows-fastq-to-variants

GPTomics

End-to-end DNA sequencing workflow from FASTQ files to variant calls. Covers QC, alignment with BWA, BAM processing, and variant calling with bcftools or GATK HaplotypeCaller.

GitHub

bio-sequence-statistics

GPTomics

Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.

GitHub

bio-variant-annotation

GPTomics

Comprehensive variant annotation using bcftools annotate/csq, VEP, SnpEff, and ANNOVAR. Add database annotations, predict functional consequences, and assess clinical significance.

GitHub

bio-genome-assembly-hifi-assembly

GPTomics

High-quality genome assembly from PacBio HiFi reads using hifiasm with phasing support. Use when building reference-quality diploid assemblies from HiFi data, especially with trio or Hi-C phasing for fully reso...

GitHub

bio-database-access-uniprot-access

GPTomics

Access UniProt protein database for sequences, annotations, and functional information. Use when you need protein data, GO terms, domain annotations, or protein-protein interactions.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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