Rechercher

PythonReactSEOPDF

Skills IA Bases de données

Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.

Catégories: Bases de données

7,033–7,056 sur 85,283

Bases de données Effacer les filtres

Explorer

GitHub

bio-compressed-files

GPTomics

Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.

GitHub

bio-vcf-basics

GPTomics

View, query, and understand VCF/BCF variant files using bcftools and cyvcf2. Use when inspecting variants, extracting specific fields, or understanding VCF format structure.

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-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-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...

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.

Plus de filtres

Popularité

Tags populaires