BOL

Sequencing coverage is defined as the average number of reads that covers each base of the reference genome. Estimating the sequencing coverage is very important when you are simulating datasets. The coverage equation is defined as follows.

C = LN / G

• C is the sequencing coverage
• G is the length of the genome
• L is the read length
• N is the number of reads

For example, if you have a genome of length 5Mbp and you simulate 1,000,000 HiSeq 2000 reads (read length is 100bp), then we will get a sequencing coverage of 20x as follows.

C = LN / G = 100 * 1,000,000 / 5,000,000 = 20x

I would recommend python and lower level language C because of easier syntax and simple oops approach. Moreover, I do a lot of boinformatics programming, but I don’t use any of the “Bio*” projects, as they never seem to have much that is of use to me, and what little is useful to me is easier for me to code myself than to install any Bio* project and deal with its idiosyncracies.

Read this report:

http://qz.com/298635/these-programming-languages-will-earn-you-the-most-money/

Python is beating all others https://towardsdatascience.com/the-most-in-demand-skills-for-data-scientists-4a4a8db896db