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htc

H2B mobility classification upon the effect of IR on chromatin

https://github.com/junwooparksaribu/htc

Science Score: 67.0%

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    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

H2B mobility classification upon the effect of IR on chromatin

Basic Info
  • Host: GitHub
  • Owner: JunwooParkSaribu
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 1.04 GB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 6
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

DOI

H2B mobility classifier

HTC (histone trajectory classifier) classifies the mobility of H2Bs based on their trajectory image using CNN

[!IMPORTANT]
Requirements to run from source code
- C compiler - Python 3.10 - TensorFlow 2.12 - latest version of numpy - latest version of imageio - latest version of matplotlib - latest version of PySimpleGUI - latest version of scikit-learn

[!NOTE]
Binary executable(WIN) can be downloaded^1.

Input    : .trxyt
Output : Reports(.csv) including classified mobility(in 3 types) of H2Bs.

This repository contains sample.trxyt file for the test of the program.
Please test sample.trxyt before run the program on your own data.

To run the program, open the GUI with following command.
From source code:python H2bInterface.py



Contacts

Owner

  • Login: JunwooParkSaribu
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: ""
authors:
  - family-names: Park
    given-names: Junwoo
    orcid: https://orcid.org/0009-0000-6126-2125
title: "HTC"
version: v1.0.7
identifiers:
  - type: doi
    value: 10.5281/zenodo.13334706
date-released: 2024-08-18

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