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documentation scientific computing AI 技能

发现 documentation scientific computing 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: documentation scientific computing

显示第 217–240 个,共 926 个

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GitHub

bio-entrez-fetch

GPTomics

Retrieve records from NCBI databases using Biopython Bio.Entrez. Use for downloading sequences, fetching GenBank records, getting document summaries, and parsing NCBI data into Biopython objects.

GitHub

bio-entrez-search

GPTomics

Search NCBI databases using Biopython Bio.Entrez. Use for finding records by keyword, building search queries, discovering database structure, and getting global query counts across databases.

GitHub

bio-methylation-methylkit

GPTomics

DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons. Use when analyzing single-base methylation patterns, comp...

GitHub

bio-workflows-rnaseq-to-de

GPTomics

End-to-end RNA-seq workflow from FASTQ files to differential expression results. Covers QC, quantification (Salmon or STAR+featureCounts), and DESeq2 analysis with visualization.

GitHub

bio-pathway-reactome

GPTomics

Reactome pathway enrichment using ReactomePA package. Performs over-representation analysis and GSEA on Reactome pathways, a curated peer-reviewed knowledgebase of biological pathways. Supports visualization an...

GitHub

bio-atac-seq-differential-accessibility

GPTomics

Find differentially accessible chromatin regions between conditions using DiffBind or DESeq2. Use when comparing chromatin accessibility between treatment groups, cell types, or developmental stages in ATAC-seq...

GitHub

bio-proteomics-differential-abundance

GPTomics

Statistical testing for differentially abundant proteins between conditions. Covers limma and MSstats workflows with multiple testing correction. Use when identifying proteins with significant abundance changes...

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.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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