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.

Submitted by

Voting

0 votes
Active

Data Priorities

Longitudinal sequencing

Longitudinal sequencing: obtain the samples from patients at different time points. For examples, biopsy at diagnosis, pretreatment, post-treatment, and relaps

Submitted by

Voting

0 votes
Active

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 »

Submitted by

Voting

1 vote
Active