scarchesReference mapping for single-cell genomics
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scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
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topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
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GREINGREIN : GEO RNA-seq Experiments Interactive Navigator
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EmptyDrops2017Code for the empty droplet and cell detection project from the HCA Hackathon.
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squidpySpatial Single Cell Analysis in Python
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scarfToolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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ginkgoCloud-based single-cell copy-number variation analysis tool
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railScalable RNA-seq analysis
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scGEAToolboxscGEAToolbox: Matlab toolbox for single-cell gene expression analyses
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ORNAFast in-silico normalization algorithm for NGS data
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snATAC<<------ Use SnapATAC!!
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cellrankCellRank for directed single-cell fate mapping
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lncpipeUNDER DEVELOPMENT--- Analysis of long non-coding RNAs from RNA-seq datasets
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vidgerMake rapid visualizations of RNA-seq data in R
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idealInteractive Differential Expression AnaLysis - DE made accessible and reproducible
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NetBIDData-driven Network-based Bayesian Inference of Drivers
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ropThe Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
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sports1.1Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs
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iMOKAinteractive Multi Objective K-mer Analysis
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GeneTonicEnjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
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seurat-wrappersCommunity-provided extensions to Seurat
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D3EDiscrete Distributional Differential Expression
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