I'm still very much a newbie at bioinformatics; I've been transitioning to doing more in silico work in my area. I've got some good resources already on general bioinformatically-relevant algorithms, but which ones should I focus in on when doing transcriptomics work, and what purposes are they generally used for?
For example: There are a LOT of sequence algorithms. Beyond, say, the Smith-Waterman and Needleman-Wunsch algorithms for sequence alignment, which ones do you find the most useful for what task? Bonus points if they're algorithms that one might not immediately think are relevant to transcriptomics.
(I realize your answer might be 'it depends on the question', to which my answer is 'I'm formulating some questions, if you can tell me what types of questions an algorithm has been generally applicable to, that would be helpful'.)
Thank you for any and all advice.