4.8 years ago by
Rochester, NY USA
If you have a masters degree in bioinformatics with unix, perl and core Java skills, you can do this. How to get the core concepts? Like with anything else, read, go to talks, ask questions. There are many good sources of information here (search is your friend) and elsewhere online. I would recommend spending at least some time with someone who has worked with these data types, be it RNASeq or DNA, for real projects. There is still enough art and craft in this corner of science that learning some of the ropes from a mentor will save you down the road. Also, I can't emphasize enough working on projects with sound experimental design, and where NGS is applied appropriately. I see projects that never really go anywhere basically for these reasons, the experimental hypotheses were under-formulated or really a stretch, the experiment was underpowered, or the sequencing approach used was not going to give you an answer (single end reads, when paired end should have been done). Some of these things will be out of your control, some will be up to luck. But they can all cause problems for your analysis, and lead to the impression that the analysis of these types of data is "hard". On the other hand, there are times when the experimental design is sharp, the capture and sequencing go without a hitch, analysis hits no bumps in the road -- and as JC says above, it's as straight forward as it can get. Also, I think it's important to get hands-on experience working at every stage of the analysis pipeline, from initial qc, cleanup, trimming etc, all the way down to dealing with the called variants and annotation. Enjoy!