stuntgoat

What types of complexity would be involved in computationally comparing 2 genomes to find over-expressed genes?

There has been news of success in comparing the genome sequences between cancer cells and healthy cells. I would like to hear any expert opinions regarding the complexity.

Some background:

The goal is to sequence patients' and their cancer's genomes, then compute the gene candidates to target for drug therapy, based on the difference of the two ( I know it's more complicated than that ). It took researchers a month to process the data, between the diff of normal and malignant cells. They then found a likely candidate gene that was over-expressed in the cancer cells- and coincidentally, a drug existed that targeted the gene, to the apparent success of the patient.

http://www.charlierose.com/view/interview/12455 http://www.nytimes.com/2012/07/08/health/in-gene-sequencing-treatment-for-leukemia-glimpses-of-the-future.html

I am a self-taught programmer that would like to get a job at a startup. Small startups do not often have the time or resources to mentor a junior programmer.

Do you have any suggestions for companies( startups or not ) that have a great track record for mentoring junior devs?