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《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
single-nucleus nanopore reads processing pipeline
GiniClust: Detecting Rare Cell Types from Single-Cell Gene Expression Data with Gini Index
A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
Code and annotations for the Tabula Muris single-cell transcriptomic dataset.
Single cell RNA-seq preprocessing tool for gene-by-cell matrices of UMI counts. It is recommended to use the raw spliced and unpliced counts matrices produced by scKB pipeline as the input of copilot.
R package for benchmarking single cell analysis methods
This contains the dataset for comparing scRNA-seq analysis methods
Repository for scripts used for analysis in Lee at al. 2020 "Hair-bearing human skin generated entirely from pluripotent stem cells."
Scripts and data for reproducing analysis in Miller et al. 2020
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Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data. Please download the R package from the RaceID3_StemID2_package repository, which contains the current vers…
Single-cell exploratory data analysis for RNA-Seq
Comparison of methods for trajectory inference on single-cell data 🥇
Code for evaluation of differential expression methods in single-cell RNA-seq data
Bench-marking classification tools for scRNA-seq data
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
CONCLUS is a tool for single-cell RNA sequencing analysis
Representation Learning for detection of phenotype-associated cell subsets
Algorithm for the inference of cell types from single-cell RNA-seq data.
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Single-cell analysis in Python. Scales to >100M cells.
collection of notebooks with different cytoscape workflows