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Eijy Nagai's Projects

avocado icon avocado

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.

biofx_python icon biofx_python

Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)

chrvis icon chrvis

[Research Intern work] HiC Data Analysis Suite

covid19_sc icon covid19_sc

Processing workflow for COVID-19 single cell data

drompaplus icon drompaplus

ChIP-seq pipeline tool for quality check, normalization, statistical analysis, and visualization of multiple ChIP-seq samples.

gget icon gget

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 icon hic-pro

HiC-Pro: An optimized and flexible pipeline for Hi-C data processing

illuminati icon illuminati

scripts to automate illumina secondary analysis pipeline

juicebox icon juicebox

Visualization and analysis software for Hi-C data -

late icon late

Imputation of single cell RNA-sequencing data with autoencoder

liger icon liger

R package for integrating and analyzing multiple single-cell datasets

phantompeakqualtools icon phantompeakqualtools

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.

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