4 Responses

1. 

   Ryno · January 22, 2017 at 07:10:14 · →

   Here is the update plos collection link : http://collections.plos.org/translational-bioinformatics

2. 

   Daniel · January 22, 2017 at 19:05:14 · →

   Can you please explain everything again, and provide a list of learning objectives of what the lectures intend to explain or what we should know from watching the lectures?

   The video lectures for this section are not very useful because they seem to skip a lot of important information that is needed to understand these concepts.

3. 

   Lorans · January 22, 2017 at 19:17:37 · →

   Just like Daniel, so was I gonna ask if we could go through everything again.

4. 

   K · January 22, 2017 at 21:18:18 · →

   For the slide: a progressive MSA
   when u do parallel alignment, do u do it for every possible pair of sequences? or Some algorithm has been done in advance so the parallel alignment is only for sequences that are similar?

   For the slide: Non probabilistic in “profiles and PSSMs”
   what does the a, b stand for? the position of the residue?
   And you mentioned that after calculating the score with the substitution, MSA will be run. Could you elaborate more on what happen after calculating the score.

   Please explain the problem with average profile again

   How do u determine the rough estimate for training an HMM.

   You have mentioned something being used very commonly in the field now because it was fast and efficient but I couldn’t get the term (It was mentioned during HMM-HMM alignment slide in profile-profile alignment video at the very end)

   Thx!