I have completed my master thesis project in ChIP-Seq analysis, now I am seeking Ph.D. studentship position in USA, UK. Before entering my doctoral studies, I want to improve my analytical skills in bioinformatics, both in the theoretical context of computational biology and programming skills. I have known with developing software package in R, but I also checked other sources where mentioned that Python, Perl programming are also used for respective analysis. My background in computer science, and I am still quite fresh to solve bioinformatics problems. Thus, I'd like to continue my exploration in bioinformatics, to match future research project more closely. Be short, I need reliable resources where I could learn and expand my knowledge in bioinformatics, so starting with MOOC, entry level book for a junior bioinformatician, tutorial, or related guidance could expand my knowledge in this field, but don't know which one I can follow up. Can anyone propose a list of books, tutorial, MOOC, or other resources that help me out to deepen my knowledge in bioinformatics? Any advice or helpful feedback for designing career path are highly appreciated.
There is a list of my questions:
I am expecting rather well-motivated books or tutorial that specifically designed for educating junior bioinformatics enthusiast to get familiar with a respective analytical mission (
NGS,computational cancer biologyand so on). which book, tutorial, or online course I can give it try? Any idea?I am also seeking the tutorial, or list of resources where I could improve my programming skills (I am favored with coding in
R, but I want to broaden my skills in others as well). Could any experiencedbiostarscholar give me a piece of advice?I am not familiar with
Perlprogramming, but a bit of known withPython. Is that worth to learn those if my later research focuses on the field of computational cancer biology? Can anyone help me how to deepen my programming skills inR,PythonorPerlto solve computational problems in bioinformatics?
I am very interested in bioinformatics and my knowledge is still growing. I realize learning theoretical concept of computational biology is necessary, meanwhile improving problem-solving skills is vital. But how can I go through with this? Thanks in advance
jian_liangli : You can learn a lot by going through Biostars threads (some weeding out is required).
Bioinformatics courses, workshops or training compilation by @Deepak Tanwar contains a large cache of learning resources.
@genomax2: is there little preview where I can go through the main context of
biostars handbook? Plus, I am familiar withChIP-Seqanalysis, so what's best practice to continue my current research interest? Thanks :)If it is more about learning with real world programmatic tutorials, MOOCs are good but also blogs are important to follow. I would highlight this. There are several links from experts which should be a good start-point. Obviously, MOOCs come with certification which blogs might not but forum like Biostar's and blogs come with problem-solving requests. That is what one encounter while handling data.
I don't think there is a preview but the refund policy is pretty generous and outlined in the FAQ here.
Tutorialtags are generally reserved for threads that discusshow to use a program or tool\do an analysisexplained in a step-wise manner. It is not appropriate for this thread.