Citation:

Lu R, Mucaki E and Rogan PK. Discovery and Validation of Information Theory-Based Transcription Factor and Cofactor Binding Site Motifs,  Nucleic Acids Research. DOI: 10.1093/nar/gkw1036  (pdf)

 

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Copyright licence (CC-BY)

Manuscript with Figures – Lu, Mucaki and Rogan, Nucl. Acids Res. 2016

Response to peer reviewers

Supplementary Methods

Supplementary – Table S1;  Table S2;  Table S3;  Table S4;  Table S5;  Table S6;  Table S7;  Table S8

The Atlas of Science  has published a simplified description for the lay public of our 2016  study of gene variants in hereditary breast and ovarian cancer in BMC Medical Genomics (citation below).

Please see:  Focusing on the most relevant gene variants in inherited breast and ovarian cancer by  Eliseos Mucaki and Peter Rogan.

(http://atlasofscience.org/focusing-on-the-most-relevant-gene-variants-in-inherited-breast-and-ovarian-cancer/#more-16892)

Original technical paper: A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer. Mucaki EJ, Caminsky NG, Perri AM, Lu R, Laederach A, Halvorsen M, Knoll JH, Rogan PK BMC Med Genomics. 2016 Apr 11