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Cited by 277

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Next generation software for functional trend analysis

Open access
Berriz, Gabriel F., Beaver, John E., Cenik, Can, Tasan, Murat, Roth, Frederick P.·2009·Bioinformatics

Abstract

Summary: FuncAssociate is a web application that discovers properties enriched in lists of genes or proteins that emerge from large-scale experimentation. Here we describe an updated application with a new interface and several new features. For example, enrichment analysis can now be performed within multiple gene- and protein-naming systems. This feature avoids potentially serious translation artifacts to which other enrichment analysis strategies are subject. Availability: The FuncAssociate web application is freely available to all users at http://llama.med.harvard.edu/funcassociate. Contact: fritz_roth@hms.harvard.edu

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Metadata

Authors
Berriz, G. F., Beaver, J. E., Cenik, C., Tasan, M., & Roth, F. P.
Venue
Bioinformatics
Published
2009-08-28
Volume
25
Issue
22
Pages
3043-3044
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2160699408
Cited by
277
References
1
FWCI
9.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Next generation software for functional trend analysis. https://app.cochat.ai/papers/10.1093/bioinformatics/btp498
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Berriz, G. F., Beaver, J. E., Cenik, C., Tasan, M., & Roth, F. P. (2009). Next generation software for functional trend analysis. Bioinformatics. https://doi.org/10.1093/bioinformatics/btp498

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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