Name: Eijy Nagai
Type: User
Company: University of Tokyo
Bio: Computational biologist/research associate@UTokyo. Interested in network biology, single-cell transcriptomics and epigenetics, and 3D genome regulation.
Twitter: eijynagai
Location: Tokyo, Japan
Blog: www.linkedin.com/in/enagai
Eijy Nagai's Projects
An icon font for academics
Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.
Open-source KVM software
Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)
Centrality Analysis Ranking score
[Research Intern work] HiC Data Analysis Suite
Processing workflow for COVID-19 single cell data
ChIP-seq pipeline tool for quality check, normalization, statistical analysis, and visualization of multiple ChIP-seq samples.
IHEC metadata merging and cleanup
gget enables efficient querying of genomic databases, such as Ensembl, UniProt, NCBI, directly into a Python or terminal programming environment. It was designed to support genomic data analysis.
HiC-Pro: An optimized and flexible pipeline for Hi-C data processing
scripts to automate illumina secondary analysis pipeline
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
Notebook and examples related to La Manno and Gyllborg et al. 2016
Visualization and analysis software for Hi-C data -
Imputation of single cell RNA-sequencing data with autoencoder
R package for integrating and analyzing multiple single-cell datasets
Mastering Ubuntu Server_Third Edition, published by Packt
GitHub project (Project 3) repository for PDSND
This package computes informative enrichment and quality measures for ChIP-seq/DNase-seq/FAIRE-seq/MNase-seq data. It can also be used to obtain robust estimates of the predominant fragment length or characteristic tag shift values in these assays.