Haystack: Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
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Updated
Jun 21, 2022 - HTML
Haystack: Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
Materials used during #NGSchool2017
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)
An R package designed to integrate and visualize various levels of epigenomic information, including but not limited to: ChIP, Histone, ATAC, and RNA sequencing. epiRomics is also designed to identify enhancer and enhanceosome regions from these data.
Standardized pipelines for processing epigenomic NGS data
This repository contains data and functions related to computational epigenomics data analysis.
HiGlass demo with Cistrome data sets.
Public archive for EpiCompare reports.
ENCODE reproducibility check, cutandrun & TIP-seq benchmark
Preprocessing pipeline for CUT&TAG data.
STAT 540 Spring 2017 team repository
Processing, benchmarking and analysis of CUT&Tag against ENCODE ChIP-seq.
Public archive of reports generated using MotifPeeker R package
R code in R Markdown used for ucm genomes and genome analysis course
Personal website of Mehdi Foroozandeh. PhD student of computing science. machine learning and computational biology enthusiast
Epiviz2 Web Application using the component library
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