Publications

Included here is a list of publications from OCG programs. All published data are available to the research community through the program-specific data matrices.

* denotes publications from the CTD2 initiative that are results of intra-Network collaborations

 

CTD²
July 18, 2013
Cell

These results establish that the CRISPR system can be used as a modular and flexible DNA-binding platform for the recruitment of proteins to a target DNA sequence, revealing the potential of CRISPRi as a general tool for the precise regulation of gene expression in eukaryotic cells.

CTD²
June 18, 2013
Proc Natl Acad Sci U S A

Researchers discuss an integrated methodology based on pooled shRNA screening in mammalian cells for genome-wide identification of genes with relevant phenotypes and systematic mapping of all genetic interactions.

CTD²
June 18, 2013
Proc Natl Acad Sci U S A

Researchers introduce a computational approach to identify recurrent regions of the genome in noisy data known as cores of recurrent events (CORE), and apply it to comparative genomic hybridization data from a large set of breast cancer samples.

CTD²
June 05, 2013
PLoS One

 Researchers identiy tens of thousands of putative lincRNAs that are strongly enriched for trait-associated SNPs suggesting a new mechanism by which intergenic trait-associated regions may function.

CTD²
May 28, 2013
Trends in Pharmacological Sciences

The emergence and convergence of cancer genomics, targeted therapies, and network oncology have significantly expanded the landscape of protein-protein interaction (PPI) networks.

CGCI
May 02, 2013
Blood

Researchers explored the effects of FOXO1 mutations in DLBCL patient samples and DLBCL-derived cell lines and suggested FOXO1 mutation as a novel prognostic factor in DLBCL pathogenesis.

CTD²
April 05, 2013
Future Oncology

Researchers discuss the potentials of high-throughput functional genomics to pinpoint gene-targeted therapies in cancer. 

CTD²
April 01, 2013
Genome Research

Analytic Technique for Assessment of RNAi by Similarity (ATARiS) takes advantage of patterns in RNAi data across multiple samples in order to enrich for RNAi reagents whose phenotypic effects relate to suppression of their intended targets.

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