English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Automated Analysis of Small RNA Datasets with RAPID

Karunanithi, S., Simon, M., & Schulz, M. H. (2019). Automated Analysis of Small RNA Datasets with RAPID. PeerJ, 7: e6710. doi:10.7717/peerj.6710.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0003-7D5F-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-7A57-F
Genre: Journal Article
Latex : Automated analysis of small {RNA} datasets with {RAPID}

Files

show Files
hide Files
:
peerj-6710.pdf (Publisher version), 427KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0003-7D61-4
Name:
peerj-6710.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
© 2019 Karunanithi et al. Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
License:
-

Locators

show

Creators

show
hide
 Creators:
Karunanithi, Sivarajan1, Author           
Simon, Martin2, Author
Schulz, Marcel Holger1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Karunanithi2019b
DOI: 10.7717/peerj.6710
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PeerJ
  Other : PeerJ
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, USA : PeerJ Inc.
Pages: - Volume / Issue: 7 Sequence Number: e6710 Start / End Page: - Identifier: ISSN: 2167-8359
CoNE: https://pure.mpg.de/cone/journals/resource/2167-8359