The Wang lab at AMSS

The Wang lab at AMSS's repositories

vPECA

vPECA is a Variants interpretation method by Paired Expression and Chromatin Accessibility data which can identify active and active selected regulatory elements and their gene regulatory network.

Language:MATLAB801

SpecVar

SpecVar is a convenient tool for estimating interpretable genetic correlation of human complex traits and annotating the SNPs with context specific regulatory networks

Language:ShellGPL-3.0700

hReg-CNCC

hReg-CNCC is a high-quality Regulatory network of Cranial Neural Crest Cell (CNCC), built by consensus optimization.

Language:Python600

RE-GOA

A tool for non-coding genomic regions function enrichment analysis based on Regulatory Elements Gene Ontology Annotation (RE-GOA)

Language:Python500

scTIM

scTIM is a convenient tool for cell-type indicative marker detection based on single cell RNA-seq data

Language:Python5 10

3SCover

3SCover is a method to identify safeguard TF from cell type -TF network by an extended mimimum set cover model.

Language:R200

ClusterMatch

Language:R100

cTOP

Language:Python100

SpecLoop

SpecLoop is a method for predicting cell type-specific chromatin loops via transcription factor cooperation.

Language:R100

CNEReg

Language:RGPL-3.0000

GuidingNet

GuidingNet is a method to reveal transcriptional cofactor and predict binding for DNA methyltransferase by network regularization.

Language:R000

MIMIC

Language:MATLAB000

scPECA

Language:Python000

cRegulon

cRegulon is an optimization model to identify combinatorial regulon from single cell expression and chromatin accessibility data.

Language:PythonGPL-3.0000

MutNet

A heterogeneous network embedding based method by integrating genomic data with genes’ biological processes including protein-protein interactions and pathways.

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RP3

RP3 (RNA Polymerase II Pausing Prediction) is a method for predicting transcriptional elongation Pol II pausing by integrating multi-omics data

Language:R000