English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Fast Detection of Differential Chromatin Domains with SCIDDO

Ebert, P., & Schulz, M. H. (2021). Fast Detection of Differential Chromatin Domains with SCIDDO. Bioinformatics, 37(9), 1198-1205. doi:10.1093/bioinformatics/btaa960.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0008-D98D-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-47B3-D
Genre: Journal Article
Latex : Fast detection of differential chromatin domains with {SCIDDO}

Files

show Files
hide Files
:
btaa960.pdf (Publisher version), 773KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0008-D98F-3
Name:
btaa960.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
© The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
Ebert, Peter1, Author           
Schulz, Marcel Holger1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 20212021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Ebert2021b
DOI: 10.1093/bioinformatics/btaa960
PMC: PMC818969
PMID: 33232443
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : DEEP
Grant ID : 01KU1216A
Funding program : Globale Gesundheit
Funding organization : Bundesministerium für Bildung und Forschung

Source 1

show
hide
Title: Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 37 (9) Sequence Number: - Start / End Page: 1198 - 1205 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991