🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
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Updated
Mar 15, 2024 - C++
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
A tool that allows to get UMI counts from a single cell protein assay
🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
Bring your single-cell data to life
The IDK (Industrial Development Kit) library!
Standalone tool and library allowing to work with barcoded linked-reads
shiny app for single cell RNAseq experiments, with plug-in like structure for flexible integration of tools and visualizations.
A high performance TOML commenter and config file lifestyle
Collection of tools and resources for linked-reads
R package: {rfca} Random forest-based cell annotation methods for scRNAseq analysis. {rfca} contains methods which identifies cell types using machine learning trained on a diversity of cell types, without the need for a labelled training dataset. It also allows you to train your own cell prediction models with your own labels (cell type, subtyp…
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