WGBS/NOMe-seq Data Processing & Differential Methylation Analysis
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Updated
May 20, 2023 - Python
WGBS/NOMe-seq Data Processing & Differential Methylation Analysis
GeneWalk identifies relevant gene functions for a biological context using network representation learning
R/MATLAB package to perform virtual knockout experiments on single-cell gene regulatory networks.
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Flexible analysis of high-content CRISPR screening
✂️ Pooled CRISPR screen optimization tool
Examples to get started with IBM Functional Genomics Platform
Robust and efficient analysis of single-cell perturbation studies
Analysis for "K27M in canonical and noncanonical H3 variants occurs in distinct oligodendroglial cell lineages in brain midline gliomas" (Jessa et al, Nature Genetics, 2022)
TnSeq data processing workflow
A system for the integration and analysis of heterogeneous functional genomics data.
Documentation site for the Geneweaver project.
A client library for the integration and analysis of heterogeneous functional genomics data.
Laboratoare licență anul IV — Bioinformatica și Genomică Funcțională, cu focus pe ML, rețele și GenAI.
A curated list of regulatory genomics papers and resources.
The core library for GeneWeaver projects.
The GeneWeaver database interaction code.
Developed by Qiaoshan Lin in Yaowu Yuan Lab
In-house scripts for data processing and analysis
Merge multiple peak calling experiments into consensus peaks and a sparse consensus by sample matrix (part of MUFFIN suite).
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