Scripts developed to work with 10x Genomics sequencing results
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Updated
Sep 20, 2017 - R
Scripts developed to work with 10x Genomics sequencing results
Pipeline for SV detection using 10X genomics data
List of tools and resources related to the 10x Genomics GEMCode/Chromium system
Non-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)
adtseq provides simple Rcpp methods to identify Antibody-Derived-Tags in single cell CITE/REAP-seq data
Paper list of single cell omics
Preliminary study to figure out how many larval gonads are needed for RNA-Seq
De novo assembly pipeline for 10X linked-reads using Supernova
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…
Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer
R script built on Seurat objects to analyze 10X single-cell expression data
CWL toolkit for single-cell sequencing data analysis
Standalone tool and library allowing to work with barcoded linked-reads
Sanger Cellular Genetics single-cell ATAC-seq pipeline.
Single-cell preprocessing pipelines, such as converting raw bcl files, make fastqs and then generating quantified matrix, etc
Download fastqs or supplementary files from GEO and upload to hca-util bucket
simplified cellranger for long-read data
Collection of tools and resources for linked-reads
A single-cell RNAseq pipeline for 10X genomics data
Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.
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