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RNAiCut: automated detection of significant genes from functional genomic screens.

Publication ,  Journal Article
Kaplow, IM; Singh, R; Friedman, A; Bakal, C; Perrimon, N; Berger, B
Published in: Nat Methods
July 2009

Duke Scholars

Published In

Nat Methods

DOI

EISSN

1548-7105

Publication Date

July 2009

Volume

6

Issue

7

Start / End Page

476 / 477

Location

United States

Related Subject Headings

  • Software
  • RNA Interference
  • Protein Interaction Mapping
  • MAP Kinase Signaling System
  • Insulin
  • Genomics
  • Genome, Insect
  • Developmental Biology
  • Databases, Genetic
  • Animals
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kaplow, I. M., Singh, R., Friedman, A., Bakal, C., Perrimon, N., & Berger, B. (2009). RNAiCut: automated detection of significant genes from functional genomic screens. Nat Methods, 6(7), 476–477. https://doi.org/10.1038/nmeth0709-476
Kaplow, Irene M., Rohit Singh, Adam Friedman, Chris Bakal, Norbert Perrimon, and Bonnie Berger. “RNAiCut: automated detection of significant genes from functional genomic screens.Nat Methods 6, no. 7 (July 2009): 476–77. https://doi.org/10.1038/nmeth0709-476.
Kaplow IM, Singh R, Friedman A, Bakal C, Perrimon N, Berger B. RNAiCut: automated detection of significant genes from functional genomic screens. Nat Methods. 2009 Jul;6(7):476–7.
Kaplow, Irene M., et al. “RNAiCut: automated detection of significant genes from functional genomic screens.Nat Methods, vol. 6, no. 7, July 2009, pp. 476–77. Pubmed, doi:10.1038/nmeth0709-476.
Kaplow IM, Singh R, Friedman A, Bakal C, Perrimon N, Berger B. RNAiCut: automated detection of significant genes from functional genomic screens. Nat Methods. 2009 Jul;6(7):476–477.

Published In

Nat Methods

DOI

EISSN

1548-7105

Publication Date

July 2009

Volume

6

Issue

7

Start / End Page

476 / 477

Location

United States

Related Subject Headings

  • Software
  • RNA Interference
  • Protein Interaction Mapping
  • MAP Kinase Signaling System
  • Insulin
  • Genomics
  • Genome, Insect
  • Developmental Biology
  • Databases, Genetic
  • Animals