Proteny: Discovering and visualizing statistically significant syntenic clusters at the proteome level

T Gehrmann; MJT Reinders

doi:10.1093/bioinformatics/btv389

Proteny: Discovering and visualizing statistically significant syntenic clusters at the proteome level

T Gehrmann, MJT Reinders

Pattern Recognition and Bioinformatics

Research output: Contribution to journal › Article › Scientific › peer-review

5 Citations (Scopus)

Original language	English
Pages (from-to)	3437-3444
Number of pages	8
Journal	Bioinformatics
Volume	31
Issue number	21
DOIs	https://doi.org/10.1093/bioinformatics/btv389
Publication status	Published - 2015

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Harvest
Published online 27-6-2015

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10.1093/bioinformatics/btv389

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title = "Proteny: Discovering and visualizing statistically significant syntenic clusters at the proteome level",

author = "T Gehrmann and MJT Reinders",

note = "Harvest Published online 27-6-2015",

year = "2015",

doi = "10.1093/bioinformatics/btv389",

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journal = "Bioinformatics",

issn = "1367-4803",

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AU - Gehrmann, T

AU - Reinders, MJT

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UR - http://resolver.tudelft.nl/uuid:9cf3cf19-f68c-45f6-990e-acae0b643340

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DO - 10.1093/bioinformatics/btv389

M3 - Article

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EP - 3444

JO - Bioinformatics

JF - Bioinformatics

IS - 21

ER -

Proteny: Discovering and visualizing statistically significant syntenic clusters at the proteome level

Bibliographical note

Access to Document

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