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Yes, cram has a great potential. It may ultimately replace BAM (if cram does not do that, there will be a binary format to achieve sooner or later). Nonetheless, cram may not replace BAM right now. It does not (at least did not) support all the tags. I do not know the progress on compressing unmapped reads. Furthermore, I am concerned with the compression model. I also think lossy compression is the way to go, but this should be done by reducing the resolution of quality, instead of by selectively dropping all the quality information.
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Supporting all the tags is expected in CRAM 0.7 due soon, see e.g.Originally posted by lh3 View PostYes, cram has a great potential. It may ultimately replace BAM (if cram does not do that, there will be a binary format to achieve sooner or later). Nonetheless, cram may not replace BAM right now. It does not (at least did not) support all the tags.
I heard at a recent seminar that the CRAM team are looking at doing a mini-assembly of the unmapped reads in order to generate dummy reference sequences which can then be used for reference based compression. If I understood correctly this might be transparent to the user.Originally posted by lh3 View PostI do not know the progress on compressing unmapped reads.
Also at the same seminar we were told CRAM has several modes of quality compression, one of which is simply reducing the resolution.Originally posted by lh3 View PostFurthermore, I am concerned with the compression model. I also think lossy compression is the way to go, but this should be done by reducing the resolution of quality, instead of by selectively dropping all the quality information.
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I am the developer of CRAM and can answer any questions about it.
The code is here:
Reference-based compression of SRA data. Contribute to vadimzalunin/crammer development by creating an account on GitHub.
Documentation can be found here:
We just released v0.7, which is not a long term support yet but stable enough to try it out.
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by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
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