Stars
CellANOVA: Cell State Space Analysis of Variance for signal recovery in single cell batch integration
Demultiplexing pooled scRNA-seq data with or without genotype reference
Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
Optimal refinement of biomarkers signatures made easy
Collections of library structure and sequence of popular single cell genomic methods
Pod5: a high performance file format for nanopore reads.
A deep learning-based tool to identify splice variants
Pangolin is a deep-learning method for predicting splice site strengths.
The first deep learning based Nanopore simulator which can simulate the process of Nanopore sequencing.
Plotting scripts for long read sequencing data
Ploidy agnostic phasing pipeline and algorithm
Pipeline to convert a haploid assembly into diploid
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
HDF5-based container format for Methylation calls from long reads
RTG Tools: Utilities for accurate VCF comparison and manipulation
Workflow to prepare high accuracy single molecule consensus sequences from amplicon data using unique molecular identifiers
Prediction of the binding specificity of transcription factors using support vector regression