Predicting Protein Synergistic Effect in Arabidopsis using Epigenome Profiling (Source Code)
The provided list outlines the scripts for the QHistone project, each designated with a specific task or analysis related to histone chip-seq data processing and analysis. 1_ChIPpeakcall: This script pertains to the peak calling pipeline for histone chip-seq data. 2_ChIPdatabase: Scripts for flattening the NarrowPeak file into a matrix format, 3_ChIP_SVM: Scripts for GridSearch, Recursive Feature Elimination (RFE), and establish Support Vector Machine (SVM) model for predicting the epigeome profile of query. 4_ChIP_tSNE_PCA_MDS: Scripts for conducting t-distributed Stochastic Neighbor Embedding (tSNE), Principal Component Analysis (PCA), and Multidimensional Scaling (MDS) analyses on histone chip-seq data. 5_ChIP_hi-cluster: Scripts for hierarchical anlysis of histone chip-seq data. 6_ProteinChIPs: This script pertains to the peak calling pipeline for protein chip-seq data. 7_QhistoneWeb: Scripts contain Django code for Qhistone website. 8_Comprehensive_histone_Analysis: Scripts for comprehensive analysis of histone chip-seqs. 9_Selection_of_Machine_Learning_Model: Scripts for test 9 supervised machine learning algorithms. See README.md for Source codes, installation guides, and step by step running commands
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-20
- DOI
- https://doi.org/10.5281/zenodo.13351074
- Primary Topic
- Wood and Agarwood Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00