Bioinformatic Algorithms Books

Question

[dshulgin]

Hi everyone. Many bioinformatics courses usually have the same items like matching aligments, genome assembling, sequence alignment, variant calling and so on. But, I am interested in algorithms on which for example BLAST or Artemis works (like choosing primer, finding splicing indexes, find secondary structures of a family of RNA molecules etc).

Could you provide me some books or other sources where I can read about these non-obvious algorithms.

Sorry if my question is silly, I know that I could google every algorithm I want to understand, but it would be better to have 2-3 sources with a good explanation.

Thanks a lot.

[pld]

Not sure what you mean by "non-obvious' algorithms.

If you're looking for how specific algorithms (and the programs that implement them) work, you're probably going to have to check out the publication(s) associated with that algorithm/software.

[dshulgin]

i meant algorithms that usually is not considered in most of bioinfo courses etc (like these what i mentioned). Are there some advanced bioinfo books or tutorials that have such information or i can only look for some publications?

Thanks.

Answer 1

[Shicheng Guo]

Basically, majority of the algorithms in bioinformatics can be found the pdf files as the following:

1. http://bioinformaticsalgorithms.com/
2. http://www.math-info.univ-paris5.fr/~lomn/Cours/BC/Publis/Complements/introductiontoBioinformaticsAlgorithms.pdf
3. https://mitpress.mit.edu/books/introduction-bioinformatics-algorithms
4. http://www.amazon.com/Introduction-Bioinformatics-Algorithms-Computational-Molecular/dp/0262101068
5. http://bix.ucsd.edu/bioalgorithms/
6. http://www.comp.nus.edu.sg/~ksung/algo_in_bioinfo/

[dshulgin]

Thanks a lot for providing me so many sources!

Answer 2

[GenoMax]

Have you seen this: https://www.crcpress.com/Algorithms-in-Bioinformatics-A-Practical-Introduction/Sung/9781420070330

[dshulgin]

The content looks good and advanced, thank you!

Answer 3

[Erik Wright]

Here is another option: Algorithms on strings, trees, and sequences