English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  Bayesian maximum a posteriori algorithms for modern and ancient DNA

Renaud, G. (2016). Bayesian maximum a posteriori algorithms for modern and ancient DNA. PhD Thesis, Univ., Leipzig.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-3C4E-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-3CD0-C
Genre: Thesis

Files

show Files

Locators

show
hide
Locator:
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-195705 (Any fulltext)
Description:
Qucosa, document and publication repository of Saxony, pdf download
OA-Status:

Creators

show
hide
 Creators:
Renaud, Gabriel1, 2, Author           
Affiliations:
1The Leipzig School of Human Origins (IMPRS), Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_1497688              
2The Minerva Research Group for Bioinformatics, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2074303              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2016
 Publication Status: Accepted / In Press
 Pages: XVII, 221
 Publishing info: Leipzig : Univ.
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: PhD

Event

show

Legal Case

show

Project information

show

Source

show