Search

PythonReactSEOPDF

Databases AI Skills

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

Categories: Databases

Showing 7,057–7,080 of 85,283

Databases Clear filters

Browse skills

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...

GitHub

bio-single-cell-cell-annotation

GPTomics

Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell labeling.

GitHub

bio-de-visualization

GPTomics

Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms.

GitHub

bio-metagenomics-metaphlan

GPTomics

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...

GitHub

bio-genome-assembly-long-read-assembly

GPTomics

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.

GitHub

bio-restriction-sites

GPTomics

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...

GitHub

bio-write-sequences

GPTomics

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.

GitHub

bio-workflows-metagenomics-pipeline

GPTomics

End-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling.

GitHub

bio-proteomics-dia-analysis

GPTomics

Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Covers library-free and library-based workflows for deep proteome profiling.

GitHub

bio-crispr-screens-screen-qc

GPTomics

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...

GitHub

bio-workflows-imc-pipeline

GPTomics

End-to-end imaging mass cytometry workflow from raw acquisitions to spatial cell analysis. Orchestrates image preprocessing, segmentation, phenotyping, and spatial statistics.

GitHub

bio-workflows-scrnaseq-pipeline

GPTomics

End-to-end single-cell RNA-seq workflow from 10X Genomics data to annotated cell types. Covers QC, normalization, clustering, marker detection, and cell type annotation.

GitHub

bio-read-qc-umi-processing

GPTomics

Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, lo...

GitHub

bio-pathway-enrichment-visualization

GPTomics

Visualize enrichment results using enrichplot package functions. Covers dotplot, barplot, cnetplot, emapplot, gseaplot2, ridgeplot, and treeplot for clusterProfiler results.

GitHub

bio-phylo-tree-io

GPTomics

Read, write, and convert phylogenetic tree files using Biopython Bio.Phylo. Use for parsing Newick, Nexus, PhyloXML, and NeXML tree formats, converting between formats, and handling multiple trees in a single f...

GitHub

bio-workflows-longread-sv-pipeline

GPTomics

End-to-end workflow for detecting structural variants from long-read sequencing data. Covers ONT/PacBio alignment with minimap2 and SV calling with Sniffles or cuteSV.

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.

More filters

Popularity

Popular tags