Alternatives and similar repositories for kb_python:

Users that are interested in kb_python are comparing it to the libraries listed below

• pachterlab / kallistobustools
  kallisto | bustools workflow for pre-processing single-cell RNA-seq data
  ☆117Updated 2 years ago
• wheaton5 / souporcell
  Clustering scRNAseq by genotypes
  ☆177Updated 4 months ago
• theislab / kBET
  An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.
  ☆161Updated last year
• constantAmateur / SoupX
  R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
  ☆268Updated 2 years ago
• dviraran / xCell
  Cell types enrichment analysis
  ☆194Updated 10 months ago
• timoast / sinto
  Tools for single-cell data processing
  ☆123Updated 10 months ago
• GreenleafLab / chromVAR
  chromatin Variability Across Regions (of the genome!)
  ☆172Updated 9 months ago
• saezlab / dorothea
  R package to access DoRothEA's regulons
  ☆143Updated last year
• compbiomed / singleCellTK
  Interactively analyze single cell genomic data
  ☆182Updated last week
• bnprks / BPCells
  Scaling Single Cell Analysis to Millions of Cells
  ☆189Updated this week
• theislab / zellkonverter
  Conversion between scRNA-seq objects
  ☆169Updated this week
• BaderLab / CellAnnotationTutorial
  Accompanying code for the tutorial: Annotating single cell transcriptomic maps using automated and manual methods
  ☆91Updated 2 years ago
• BorchLab / escape
  Easy single cell analysis platform for enrichment
  ☆168Updated 3 weeks ago
• cortes-ciriano-lab / SComatic
  A tool for detecting somatic variants in single cell data
  ☆196Updated 6 months ago
• Dragonmasterx87 / Interactive-3D-Plotting-in-Seurat-3.0.0
  This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
  ☆121Updated 2 years ago
• broadinstitute / Drop-seq
  Java tools for analyzing Drop-seq data
  ☆125Updated this week
• digitalcytometry / ecotyper
  EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
  ☆197Updated last year
• plger / scDblFinder
  Methods for detecting doublets in single-cell sequencing data
  ☆186Updated 3 weeks ago
• FredHutch / SEACR
  SEACR: Sparse Enrichment Analysis for CUT&RUN
  ☆109Updated 2 years ago
• theislab / scCODA
  A Bayesian model for compositional single-cell data analysis
  ☆160Updated last year
• carmonalab / UCell
  Gene set scoring for single-cell data
  ☆147Updated 5 months ago
• enblacar / SCpubr
  Generate high quality, publication ready visualizations for single cell transcriptomics data.
  ☆179Updated last month
• snakemake-workflows / single-cell-rna-seq
  A single cell RNA-seq workflow, including highly variable gene analysis, cell type assignment and differential expression analysis.
  ☆101Updated 2 years ago
• sdparekh / zUMIs
  zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
  ☆278Updated 8 months ago
• loosolab / TOBIAS
  Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal
  ☆210Updated 2 months ago
• Irrationone / cellassign
  Automated, probabilistic assignment of cell types in scRNA-seq data
  ☆199Updated 2 years ago
• swolock / scrublet
  Detect doublets in single-cell RNA-seq data
  ☆146Updated 4 years ago
• HelenaLC / muscat
  Multi-sample multi-group scRNA-seq analysis tools
  ☆185Updated this week
• crazyhottommy / scATACseq-analysis-notes
  my notes for scATACseq analysis
  ☆122Updated 11 months ago
• kharchenkolab / pagoda2
  R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
  ☆226Updated last year