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bio-proteomics-quantification

GPTomics

Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches. Use when extracting protein abundances...

GitHub

bio-flow-cytometry-bead-normalization

GPTomics

Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing...

GitHub

bio-filter-sequences

GPTomics

Filter and select sequences by criteria (length, ID, GC content, patterns) using Biopython. Use when subsetting sequences, removing unwanted records, or selecting by specific criteria.

GitHub

bio-restriction-enzyme-selection

GPTomics

Select restriction enzymes by criteria using Biopython Bio.Restriction. Find enzymes that cut once, don't cut, produce specific overhangs, are commercially available, or have compatible ends for cloning.

GitHub

bio-metabolomics-normalization-qc

GPTomics

Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before st...

GitHub

bio-imaging-mass-cytometry-phenotyping

GPTomics

Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assigning cell types to segmented IMC cells based on protein marker e...

GitHub

bio-population-genetics-plink-basics

GPTomics

PLINK file formats, format conversion, and quality control filtering for population genetics. Convert between VCF, BED/BIM/FAM, and PED/MAP formats, apply MAF, genotyping rate, and HWE filters using PLINK 1.9 a...

GitHub

bio-hi-c-analysis-matrix-operations

GPTomics

Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices.

GitHub

bio-seq-objects

GPTomics

Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, or building annotated sequence records.

GitHub

to-spring-or-not-to-spring

raphaelsalaja

Decision framework for choosing between easing curves and springs in interface motion. Use when implementing animations, reviewing motion feel, or debugging why an animation feels wrong. Triggers on tasks invol...

GitHub

bio-entrez-link

GPTomics

Find cross-references between NCBI databases using Biopython Bio.Entrez. Use for navigating from genes to proteins, sequences to publications, finding related records, and discovering database relationships.

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...

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.

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