Analysis Priorities

CANCER whole genomes codon populations analysis

In this main open access article

http://fr.scribd.com/doc/169323556/7401586of18september2013

published in october 2013 by APPLIED MATHEMATICS (BIOMATHEMATICS issue http://www.scirp.org/journal/am/ ) we show how our human genome MUST be considedred as a NUMERICAL WHOLE. The idea is now to run this kind of analysis on complete genomes DNA from CANCER CELLS (LOH) at individual chromosomes and whole genome scales.

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Analysis Priorities

Construct background mutation rate

Construct background mutation rate (noise) based on the correlation of mutation frequency and expression levels or replication time. It has been shown that longer replication time and lower expression levels imply higher mutation rates among the genome (http://www.nature.com/nature/journal/v499/n7457/full/nature12213.html). Transcription-coupled DNA repair results in high expression levels and low mutation rate. So I ...more »

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Data Priorities

Correlate genome with claims & statistical data

In addition to clinical data, tie in claims data. Test feasibility of using CMS virtual data center in conjunction with the NCI cloud to link data. Other multipayer claims databases may also offer longitudinal claims histories.

 

Bring in statistical data, particularly from longitudinal studies (NLSY, HRES, NHANES) and those that have collected biospecimens. (develop standardized re-consent form)

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