You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It would be nice to have the option of filtering read alignments by percent similarity, and potentially even reporting summary values if a user desired. For example, a separate output table with the mean and/or median percent similarity of the reads used to calculate the abundance metrics for a contig.
Heng Li described three different alignment similarity equations on his blog. I am personally leaning towards the one he favours, gap-compressed identity, over the BLAST and gapless versions.
The similarity between a read and the mapped reference sequence can be calculated directly from the CIGAR string and should be done in the C++ extension to keep this as quick as possible.
The text was updated successfully, but these errors were encountered:
It would be nice to have the option of filtering read alignments by percent similarity, and potentially even reporting summary values if a user desired. For example, a separate output table with the mean and/or median percent similarity of the reads used to calculate the abundance metrics for a contig.
Heng Li described three different alignment similarity equations on his blog. I am personally leaning towards the one he favours, gap-compressed identity, over the BLAST and gapless versions.
The similarity between a read and the mapped reference sequence can be calculated directly from the CIGAR string and should be done in the C++ extension to keep this as quick as possible.
The text was updated successfully, but these errors were encountered: