With my co-author Alex Lancaster, I am in the latter stages of writing a book “Python for the Life Sciences” which will be an accessible introduction to Python programming for biologists with no prior experience in coding, who would like to be able to bring a computational approach to their own research. In the book, we are trying to cover a broad enough array of biological application areas for the book to be a valuable guide and inspiration to life scientists in fields as diverse as NGS, Systems Biology, Genomics, Protein Engineering, Evolutionary Biology and so on.
It has been our experience that there are a lot of researchers working in diverse areas of biology currently using calculators and spreadsheets for their work, but who would be able to do a great deal more using a versatile scripting and programming language like Python.
If you are one of these people, we would really love to hear from you.
What are the life science research problems that you would tackle computationally, if you were able to use code?
You can reply to this request either directly in the comments (where your response will be publicly visible), or if you prefer to do so privately, offline via firstname.lastname@example.org
If your area of interest is something we have not covered in the chapters we have written already and we think it could be sufficiently interesting to the life science research community, we will endeavor to include it in the book, and also in the Python training sessions that we will be doing for researchers following the book’s release.
Many Thanks to all who take the time to respond.
© The Digital Biologist