There are 1 repository under 10x topic.
π π£ π± 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.
π π¬π¦ alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
A tool that allows to get UMI counts from a single cell protein assay
Bring your single-cell data to life
Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
:runner: A Monorepo of projects reaching towards EPIC proportions, maintained by one person.
Collection of tools and resources for linked-reads
shiny app for single cell RNAseq experiments, with plug-in like structure for flexible integration of tools and visualizations.
A recreation of Windows 10X, in your browser.
CWL toolkit for single-cell sequencing data analysis
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, subtype, cell state, cluster number etc). This package is best suited for researchers who want to annotate their datasets in a quick and unbiased way, phenotype their datasets based on cell identity proportions, and discover common cell states across different datasets and disease models.
A repository to demo the `git bisect run` command
Phase two of the 10X HTML Form Endpoint investigation.
10x Phase 2 Investigation: Workshare Unemployment Program
A high performance TOML commenter and config file lifestyle
adtseq provides simple Rcpp methods to identify Antibody-Derived-Tags in single cell CITE/REAP-seq data
Scripts developed to work with 10x Genomics sequencing results
Tigmint: Correct Misassemblies Using Linked Reads From Large Molecules
Use the Scanpy read 10X dataset and LightGBM run the model