Reference mapping for single-cell genomics
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Updated
May 22, 2025 - Jupyter Notebook
Reference mapping for single-cell genomics
Toolkit 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.
The Proteomics sample metadata: Standard for experimental design annotation in proteomics datasets
Oxbow makes genomic data ready for high-performance analytics.
𝒫robabilistic modeling of RNA velocity ⬱
scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference
`sdrf-pipelines` is the official SDRF file validator and converts SDRF to pipeline configuration files
A novel method for single-cell diagonal integration: scConfluence
SIMBA: SIngle-cell eMBedding Along with features
GenoCraft: A Comprehensive, User-Friendly Web Platform for High-Throughput Omics Data Analysis and Visualization (https://arxiv.org/pdf/2312.14249)
MerCat2: python code for versatile k-mer counting and diversity estimation for database independent property analysis for metaome data
MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dominik Heider, and Georges Hattab
Github repository for nanoSPLITS manuscript data and R scripts
This repository contains different scripts to automate and visualize analysis performed for the "Integration of proteomics with genomics and transcriptomics increases the diagnosis rate of Mendelian disorders"
DeepInsight3D package to deal with multi-omics or multi-layered data
Code for Highly Trustworthy Multimodal Learning (HTML) Method on Omics
R package for de novo pathway enrichment using KeyPathwayMiner
Visual exploration of multi-dimensional proteomics data
Epi-Impute: single-cell RNA-seq imputation via integration with single-cell ATAC-seq data
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