Re: [Biopython] HiC - extracting scaffold names from a contact matrix
Peter Cock <[email protected]>
| Newsgroups | gmane.comp.python.bio.general |
|---|---|
| Message-ID | <CAKVJ-_5Wfq5yON_BCt-3sMeT8EL5BwXfnx+XoivQkPCkOrUPNA@mail.gmail.com> |
Hi Mic, I would start by examining any data files these tools output (not just their graphical output). You might also have more success with a Q&A site like https://www.biostars.org/ - but if you do post a question there or on StackExchange or similar, I would urge you to include a link to this discussion to avoid duplication of effort: https://mailman.open-bio.org/pipermail/biopython/2019-January/016587.html Thanks, Peter On Sat, Jan 12, 2019 at 9:36 PM Mic <[email protected]> wrote: > > Hi Peter, > Sorry, that I posted here. My questions relates to Bioinformatics and I thought maybe there is a Python library around. > > The screenshoot shows scaffolds and their names (green boxes) within the chromosomes bins (blue boxes). I am interested to extract the scaffold names for each chromosomes so I could compare the two results from ALLHiC and 3d-dna for each chromosomes. > > Thank you in advance, > > Mic > > On Fri, 11 Jan 2019 at 19:52, Peter Cock <[email protected]> wrote: >> >> Hello Mic, >> >> I don't understand you question and how it relates to Biopython. >> Do you mean starting from the output of 3d-dna and/or ALLHiC, >> how to match scaffold names to the diagonal entries (green boxes)? >> >> Peter >> >> On Fri, Jan 11, 2019 at 4:02 AM Mic <[email protected]> wrote: >> > >> > Hello, >> > I ran 3d-dna and ALLHiC. Both of them showing in JuiceBox ( https://www.youtube.com/watch?v=Nj7RhQZHM18 ) different chromosome size bins (blue). Is there a way to extract scaffold names (green box ) inside each blue box as shown here ( https://imgur.com/a/izTbb54 ) ? >> > >> > Thank you in advance >> > >> > Mic >> > >> > >> > _______________________________________________ >> > Biopython mailing list - [email protected] >> > http://mailman.open-bio.org/mailman/listinfo/biopython _______________________________________________ Biopython mailing list - [email protected] http://mailman.open-bio.org/mailman/listinfo/biopython