GitHub
bio-reverse-complement
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.
☆ 300Voir le skill
GPTomics AI Skills
GitHub ↗Explorez les skills IA publiés de GPTomics et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
269Étoiles des dépôts des skills indexés
80,661Forks du dépôt
13,719Moyenne des étoiles par skill indexé
300Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
bio-spatial-transcriptomics-spatial-neighbors
Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses.
☆ 300Voir le skill
GitHub
bio-hi-c-analysis-hic-differential
Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps.
☆ 300Voir le skill
GitHub
bio-workflows-somatic-variant-pipeline
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.
☆ 300Voir le skill
GitHub
bio-imaging-mass-cytometry-data-preprocessing
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...
☆ 300Voir le skill
GitHub
bio-phasing-imputation-genotype-imputation
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...
☆ 300Voir le skill
GitHub
bio-read-qc-adapter-trimming
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...
☆ 300Voir le skill
GitHub
bio-long-read-sequencing-clair3-variants
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...
☆ 300Voir le skill
GitHub
bio-vcf-statistics
Generate variant statistics, sample concordance, and quality metrics using bcftools stats and gtcheck. Use when evaluating variant quality, comparing samples, or summarizing VCF contents.
☆ 300Voir le skill
GitHub
bio-duplicate-handling
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.
☆ 300Voir le skill
GitHub
bio-gatk-variant-calling
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...
☆ 300Voir le skill
GitHub
bio-metagenomics-abundance
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...
☆ 300Voir le skill
GitHub
bio-single-cell-cell-annotation
Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell labeling.
☆ 300Voir le skill
GitHub
bio-de-visualization
Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms.
☆ 300Voir le skill
GitHub
bio-metagenomics-metaphlan
Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resou...
☆ 300Voir le skill
GitHub
bio-genome-assembly-long-read-assembly
De novo genome assembly from Oxford Nanopore or PacBio long reads using Flye and Canu. Produces highly contiguous assemblies suitable for complete bacterial genomes and resolving complex regions.
☆ 300Voir le skill
GitHub
bio-restriction-sites
Find restriction enzyme cut sites in DNA sequences using Biopython Bio.Restriction. Search with single enzymes, batches of enzymes, or commercially available enzyme sets. Returns cut positions for linear or cir...
☆ 300Voir le skill
GitHub
bio-genome-assembly-scaffolding
Scaffold contigs into chromosome-level assemblies using Hi-C data with YaHS, 3D-DNA, SALSA2, and validate with BUSCO and contact maps.
☆ 300Voir le skill
GitHub
bio-genome-assembly-assembly-polishing
Polish genome assemblies to reduce errors using short reads (Pilon), long reads (Racon), or ONT-specific tools (medaka). Essential for improving long-read assembly accuracy.
☆ 300Voir le skill
GitHub
bio-proteomics-peptide-identification
Peptide-spectrum matching and protein identification from MS/MS data. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.
☆ 300Voir le skill
GitHub
bio-write-sequences
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when saving sequences, creating new sequence files, or outputting modified records.
☆ 300Voir le skill
GitHub
bio-workflows-metagenomics-pipeline
End-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling.
☆ 300Voir le skill
GitHub
bio-proteomics-dia-analysis
Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Covers library-free and library-based workflows for deep proteome profiling.
☆ 300Voir le skill
GitHub
bio-crispr-screens-screen-qc
Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosin...
☆ 300Voir le skill
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.