This is your work, valued
Bioinformatician, Laboratory of Molecular Biology, Cambridge
Proteomics_linear_modeling. Short workshop to demonstrate some uses of linear modeling in proteomics
★ 3CamProt_R. R functions for proteomics analysis
★ 1quarto-course-template. Lua
★ 8ltc-color-palettes. "ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically
★ 272tDRmapper. Perl
★ 10act. Run your GitHub Actions locally 🚀
★ 71kUMI-tools. Tools for handling Unique Molecular Identifiers in NGS data sets
★ 549uniprotREST. UniProt REST API R wrapper
★ 9camprotR. R
★ 6snakemake-wrappers. This is the development home of the Snakemake wrapper repository, see
★ 255mamba. The Fast Cross-Platform Package Manager
★ 8.1kdrawCell. R package to create cell pictures.
★ 136RoseTTAFold. This package contains deep learning models and related scripts for RoseTTAFold
★ 2.3kiortcw. Merge of ioquake3 features and fixes into RTCW code bases
★ 737idemuxcpp. iDemux is an all-in-one command line tool that can be used for both demultiplexing and error correction of FASTQ files. It enables demultiplexing of i1 inline barcodes of Lexogen’s QuantSeq-Pool as well as demultiplexing of i7 and/or i5 indices of any other RNA-Seq library prep. iDemux can also be used for superior error correction of RNA-Seq libraries generated with Lexogen’s UDI 12 nt Unique Dual Indices. This C++ version is faster than the Python version but requires a certain proficiency in command line tool handling.
★ 8pybktree. Python BK-tree data structure to allow fast querying of "close" matches
★ 189tidies. A Grammar of Data Manipulation for Omics Data
★ 21calib. Calib clusters barcode tagged paired-end reads based on their barcode and sequence similarity.
★ 40salmon. 🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
★ 920UMI-tools_pipelines. Pipelines for re-analysis of iCLIP and scRNA-Seq data for UMI-tools publication
★ 10cgat. Do not use - please refer to our newest code: https://github.com/cgat-developers/cgat-apps
★ 123TeachingMaterial. Various teaching material
★ 188