Patent on BCR Algorithm
Few weeks back, we wrote about the patents on various BWT-related bioinformatics algorithms.
We emailed Dr. Anthony Cox asking about what other bioinformaticians should do to use his work, and he was kind enough to reply. Firstly, he corrected us on the status of the patent. It is only a pending application and not an assigned patent. Regarding use of his work, the rules are the same as what he wrote in the comment section of a previous thread -
My understanding of the license is that it is meant to allow you to do pretty much whatever you want with the code install, use, distribute, modify for non-commercial purposes. Moreover, unlike some definitions of non- commercial purposes, my understanding is the license is meant to permit non- commercial use at commercial entities, e.g. in the R&D; department of a pharma company.
We request you to read the entire comment for other details.
LSC is a pipeline like PacBioToCA for error-correcting PacBio reads. Erich Scwartz recommended it to us and we wrote about LSC here.
You can check the updates in this link.
Very IMPORTANT updates:
Support for Bowtie2 and RazerS3 as initial aligners. Now, BWA, Bowtie2, RazerS3 and Novoalign work in LSC. Please see the comparison details of aligners in the “Short read - Long read aligner#manual”.
Added SR length coverage percentage on LR (SR-covered length/full length of corrected LR) to corrected_LR output file. Here is an example, where the last number 0.82 is the SR length coverage percentage on LR:
Added support for three modes for step-wise runs:
mode 0: end-to-end
mode 1: generating LR_SR.map file
mode 2: correction step
Generating FASTQ output format based on correction probability given short read coverage. Please refer to LSC paper and manual page for more details. You can select well-corrected reads for downstream analyses by using the quality in FASTQ output or SR length coverage percentage above. Please the the filtering in the “Output#manual”.
In a previous thread, we covered NabSys based on discussions in Omics! Omics! blog.
@sjackman forwarded a link from NabSys webpage that is very informative on the technology.