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databases bioinformatics AI 技能

发现 databases bioinformatics 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: databases bioinformatics

显示第 337–360 个,共 920 个

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GitHub

bio-geo-data

GPTomics

Query NCBI Gene Expression Omnibus (GEO) for expression datasets using Biopython Bio.Entrez. Use for finding microarray/RNA-seq datasets, downloading expression data, and linking GEO to SRA.

GitHub

bio-chipseq-peak-annotation

GPTomics

Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation p...

GitHub

bio-longread-alignment

GPTomics

Align long reads using minimap2 for Oxford Nanopore and PacBio data. Supports various presets for different read types and applications. Use when aligning ONT or PacBio reads to a reference genome for variant c...

GitHub

bio-microbiome-qiime2-workflow

GPTomics

QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking. Use when preferring CLI over R, needing reproducible provenance, or workin...

GitHub

bio-sra-data

GPTomics

Download sequencing data from NCBI SRA using the SRA toolkit. Use for downloading FASTQ files from SRA accessions, prefetching large datasets, validating downloads, and configuring SRA toolkit.

GitHub

bio-primer-design-qpcr-primers

GPTomics

Design qPCR primers and TaqMan/molecular beacon probes using primer3-py. Configure probe Tm, primer-probe spacing, and hydrolysis probe constraints for real-time PCR assays.

GitHub

bio-batch-downloads

GPTomics

Download large datasets from NCBI efficiently using history server, batching, and rate limiting. Use for bulk sequence downloads, large query results, and production-scale data retrieval.

GitHub

bio-microbiome-functional-prediction

GPTomics

Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun...

GitHub

bio-pathway-kegg-pathways

GPTomics

KEGG pathway and module enrichment analysis using clusterProfiler enrichKEGG and enrichMKEGG. Tests whether KEGG pathways are over-represented in a gene list. Supports 4000+ organisms via KEGG online database.

GitHub

bio-phylo-distance-calculations

GPTomics

Compute evolutionary distances and build phylogenetic trees using Biopython Bio.Phylo.TreeConstruction. Use for creating distance matrices from alignments, building NJ/UPGMA trees, parsimony analysis, and gener...

GitHub

bio-read-qc-contamination-screening

GPTomics

Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting c...

GitHub

bio-codon-usage

GPTomics

Analyze codon usage, calculate CAI (Codon Adaptation Index), and examine synonymous codon bias using Biopython. Use when analyzing coding sequences for expression optimization or evolutionary analysis.

GitHub

bio-read-qc-quality-reports

GPTomics

Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initia...

GitHub

bio-copy-number-cnvkit-analysis

GPTomics

Detect copy number variants from targeted/exome sequencing using CNVkit. Supports tumor-normal pairs, tumor-only, and germline CNV calling. Use for WES or targeted panel sequencing.

GitHub

bio-primer-design-primer-basics

GPTomics

Design PCR primers for a target sequence using primer3-py. Specify target regions, product size, melting temperature, and other constraints. Returns ranked primer pairs with quality metrics.

GitHub

bio-crispr-screens-crispresso-editing

GPTomics

CRISPResso2 for analyzing CRISPR gene editing outcomes. Quantifies indels, HDR efficiency, and generates comprehensive editing reports. Use when analyzing amplicon sequencing data from CRISPR editing experiment...

GitHub

bio-fastq-quality

GPTomics

Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.

GitHub

bio-workflows-hic-pipeline

GPTomics

End-to-end Hi-C analysis workflow from contact pairs to compartments, TADs, and loops. Covers cooler matrices, cooltools analysis, and visualization.

GitHub

bio-de-results

GPTomics

Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multiple testing corrections, adding gene annotations, and preparing r...

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