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)
Genome-wide extraction of real-valued signals hidden in noisy multisample HTS data
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 GeneWeaver database interaction code.
The core library for GeneWeaver projects.
In-house scripts for data processing and analysis
Developed by Qiaoshan Lin in Yaowu Yuan Lab
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