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  Variation Graph Toolkit Improves Read Mapping by Representing Genetic Variation in the Reference

Garrison, E., Siren, J., Novak, A. M., Hickey, G., Eizenga, J. M., Dawson, E. T., et al. (2018). Variation Graph Toolkit Improves Read Mapping by Representing Genetic Variation in the Reference. Nature Biotechnology, 36(9), 875-879. doi:10.1038/nbt.4227.

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 Creators:
Garrison, Erik1, Author
Siren, Jouni1, Author
Novak, Adam M.1, Author
Hickey, Glenn1, Author
Eizenga, Jordan M.1, Author
Dawson, Eric T.1, Author
Jones, William1, Author
Garg, Shilpa2, Author           
Markello, Charles1, Author
Lin, Michael F.1, Author
Paten, Benedict1, Author
Durbin, Richard1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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Language(s): eng - English
 Dates: 20182018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/nbt.4227
BibTex Citekey: Garrison_2018
 Degree: -

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Title: Nature Biotechnology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : NPG
Pages: - Volume / Issue: 36 (9) Sequence Number: - Start / End Page: 875 - 879 Identifier: ISSN: 1087-0156
CoNE: https://pure.mpg.de/cone/journals/resource/954926980065