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  Meta-analysis of Genome-Wide Chromatin Data

Engelhorn, J., & Turck, F. (2017). Meta-analysis of Genome-Wide Chromatin Data. In I. Kovalchuk (Ed.), Methods in Molecular Biology (pp. 33-50). New York: Humana Press. doi:10.1007/978-1-4899-7708-3_3.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-26A9-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-F388-2
Genre: Book Chapter

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 Creators:
Engelhorn, J.1, 2, Author              
Turck, F.1, Author              
Affiliations:
1Dept. of Plant Developmental Biology (George Coupland), MPI for Plant Breeding Research, Max Planck Society, ou_1113571              
2IMPRS, MPI for Plant Breeding Research, Max Planck Society, ou_1113573              

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 Dates: 2016-10-222017
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/978-1-4899-7708-3_3
ISBN: 978-1-4899-7706-9
ISBN: 978-1-4899-7708-3
 Degree: -

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Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Kovalchuk, I., Editor
Affiliations:
-
Publ. Info: New York : Humana Press
Pages: - Volume / Issue: 1456 Sequence Number: - Start / End Page: 33 - 50 Identifier: ISSN: 1064-3745