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GitHub

bio-workflows-spatial-pipeline

GPTomics

End-to-end spatial transcriptomics workflow for Visium/Xenium data. Covers data loading, preprocessing, spatial analysis, domain detection, and visualization with Squidpy.

GitHub

bio-genome-intervals-bigwig-tracks

GPTomics

Create and read bigWig browser tracks for visualizing continuous genomic data. Convert bedGraph to bigWig, extract signal values, and generate coverage tracks using UCSC tools and pyBigWig. Use when preparing c...

GitHub

bio-vcf-manipulation

GPTomics

Merge, concatenate, sort, intersect, and subset VCF files using bcftools. Use when combining variant files, comparing call sets, or restructuring VCF data.

GitHub

bio-crispr-library-design

GPTomics

CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference sc...

GitHub

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.

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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