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Haroon Kalam's Projects

scde icon scde

R package for analyzing single-cell RNA-seq data

scfea icon scfea

single cell Flux Estimation Analysis (scFEA)

scg_lib_structs icon scg_lib_structs

Collections of library structure and sequence of popular single cell genomic methods

sclvm icon sclvm

scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.

scorpius icon scorpius

Trajectory inference for single-cell RNA-seq

scw icon scw

HSCI/Catalyst Single-cell RNA-Seq Workshop

seastar icon seastar

SEASTAR - Systematic Evaluation of Alternative transcription STArt site in RNA

seurat icon seurat

R toolkit for single cell genomics

shinycircos icon shinycircos

an R/shiny application for creation of Circos plot interactively

single-cell-rna-seq icon single-cell-rna-seq

A single cell RNA-seq workflow, including highly variable gene analysis, cell type assignment and differential expression analysis.

singler icon singler

SingleR: Single-cell RNA-seq cell types Recognition (legacy version)

singlesail icon singlesail

A toolkit to help sail you through single-cell analyses

snakemake icon snakemake

This is the development home of the workflow management system Snakemake. For general information, see

snakepipes icon snakepipes

A toolkit based on snakemake and python for analysis of NGS data

spacedeconv icon spacedeconv

A unified interface to spatial transcriptomics deconvolution tools

spade icon spade

SPADE: Spanning Tree Progression of Density Normalized Events

spatial_scog_workshop_2022 icon spatial_scog_workshop_2022

Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022

spatialtranscriptomics icon spatialtranscriptomics

Pipeline for processing spatially-resolved gene counts with spatial coordinates, image data, and optionally single cell RNA-seq data, designed for 10x genomics visium and single cell transcriptomics.

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