Meta-analysis of Genome-Wide Chromatin Data

Engelhorn, J.; Turck, F.

doi:10.1007/978-1-4899-7708-3_3

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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: https://hdl.handle.net/11858/00-001M-0000-002C-26A9-D Version Permalink: https://hdl.handle.net/21.11116/0000-0002-F388-2

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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: Published Online: 2016-10-22Date issued: 2017

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1007/978-1-4899-7708-3_3
ISBN: 978-1-4899-7706-9
ISBN: 978-1-4899-7708-3

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Title: Methods in Molecular Biology

Source Genre: Series

Creator(s):
Kovalchuk, I., Editor

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Publ. Info: New York : Humana Press

Pages: - Volume / Issue: 1456 Sequence Number: - Start / End Page: 33 - 50 Identifier: ISSN: 1064-3745