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显示第 169–192 个,共 2,348 个

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GitHub

mcp-builder

khaneliman

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...

GitHub

bio-transcription-translation

GPTomics

Transcribe DNA to RNA and translate to protein using Biopython. Use when converting between DNA, RNA, and protein sequences, finding ORFs, or using alternative codon tables.

GitHub

bio-alignment-msa-parsing

GPTomics

Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis.

GitHub

bio-single-cell-data-io

GPTomics

Read, write, and create single-cell data objects using Seurat (R) and Scanpy (Python). Use for loading 10X Genomics data, importing/exporting h5ad and RDS files, creating Seurat objects and AnnData objects, and...

GitHub

bio-single-cell-clustering

GPTomics

Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE em...

GitHub

bio-restriction-mapping

GPTomics

Create restriction maps showing enzyme cut positions on DNA sequences using Biopython Bio.Restriction. Visualize cut sites, calculate distances between sites, and generate text or graphical maps.

GitHub

bio-blast-searches

GPTomics

Run remote BLAST searches against NCBI databases using Biopython Bio.Blast. Use for sequence similarity searches, identifying unknown sequences, finding homologs, and querying NCBI's nr/nt databases.

GitHub

bio-pdb-geometric-analysis

GPTomics

Perform geometric calculations on protein structures using Biopython Bio.PDB. Use for measuring distances, angles, and dihedrals, finding neighbor atoms, superimposing structures, calculating RMSD, identifying...

GitHub

bio-sequence-properties

GPTomics

Calculate sequence properties like GC content, molecular weight, isoelectric point, and GC skew using Biopython. Use when analyzing sequence composition, computing physical properties, or comparing sequences.

GitHub

bio-motif-search

GPTomics

Find patterns, motifs, and subsequences in biological sequences using Biopython. Use when searching for transcription factor binding sites, regulatory elements, or any sequence pattern. For restriction enzyme a...

GitHub

bio-pdb-structure-modification

GPTomics

Modify protein structures using Biopython Bio.PDB. Use for transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, renumbering residues, and building stru...

GitHub

bio-pdb-structure-io

GPTomics

Parse and write protein structure files using Biopython Bio.PDB. Use for reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, extracting header information, and writing structures to variou...

GitHub

bio-metabolomics-msdial-preprocessing

GPTomics

MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis...

GitHub

bio-read-sequences

GPTomics

Read biological sequence files (FASTA, FASTQ, GenBank, EMBL, ABI, SFF) using Biopython Bio.SeqIO. Use when parsing sequence files, iterating multi-sequence files, random access to large files, or high-performan...

GitHub

bio-single-cell-preprocessing

GPTomics

Quality control, filtering, and normalization for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for calculating QC metrics, filtering cells and genes, normalizing counts, identifying highly vari...

GitHub

bio-format-conversion

GPTomics

Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when changing file formats or preparing data for different tools.

GitHub

bio-single-cell-markers-annotation

GPTomics

Find marker genes and annotate cell types in single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for differential expression between clusters, identifying cluster-specific markers, scoring gene sets,...

GitHub

bio-workflow-management-snakemake-workflows

GPTomics

Build reproducible bioinformatics pipelines with Snakemake using rules, wildcards, and automatic dependency resolution. Use when creating Python-based workflows, automating multi-step analyses with make-like de...

GitHub

bio-sequence-slicing

GPTomics

Slice, extract, and concatenate biological sequences using Biopython. Use when extracting subsequences, joining sequences, or manipulating sequence regions by position.

GitHub

bio-phylo-tree-visualization

GPTomics

Draw and export phylogenetic trees using Biopython Bio.Phylo with matplotlib. Use for creating publication-quality tree figures, customizing colors and labels, and exporting to various image formats.

GitHub

bio-single-cell-doublet-detection

GPTomics

Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid ar...

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-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...

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