Open yjx1217 opened 8 years ago
Hello,
I have checked the InterProScan output format here and it seems like not much has changed in the TSV format so I'm leaning towards saying that the output format of InterProScan 5 should be suitable for GFam. However, I cannot tell it for sure without seeing some test data on which I could run GFam and check the output. Can you upload some test data somewhere along with your GFam config file so I could try running the same thing on my machine?
Hi Tamas,
Please check the attachment for the test files. Also, I noticed that the naming of many InterProScan annotation sources have been changed in the new TSV output. For example, HMMPfam -> Pfam, HMMTigr -> TIGRFAM, etc. So I've tried a modified version of the IPSv5.0 output by putting back those old names in my parallel run but I still cannot see any sign of clustering in the final Gfam output.
Best, Jia-Xing
On Sun, Apr 3, 2016 at 11:16 PM, Tamás Nepusz notifications@github.com wrote:
Hello,
I have checked the InterProScan output format here https://github.com/ebi-pf-team/interproscan/wiki/OutputFormats and it seems like not much has changed in the TSV format so I'm leaning towards saying that the output format of InterProScan 5 should be suitable for GFam. However, I cannot tell it for sure without seeing some test data on which I could run GFam and check the output. Can you upload some test data somewhere along with your GFam config file so I could try running the same thing on my machine?
— You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub https://github.com/ntamas/gfam/issues/5#issuecomment-205057043
Jia-Xing Yue
Population Genomics and Complex Traits Group Tour Pasteur 8eme etage Faculté de Médecine Institute for Research on Cancer and Aging, Nice (IRCAN) CNRS UMR 7284 - INSERM U 1081 Université de Nice Sophia Antipolis 28 Avenue de Valombrose 06107 NICE Cedex 2 France
Lab website: http://ircan.org/index.php?Itemid=98 Personal website: http://www.iamphioxus.org/
Github has gotten rid of the attachments so please upload them somewhere and send me a link - I'll download and check it out tomorrow. (But you are probably correct, the renaming of InterProScan annotation sources may indeed be one part of the problem).
Hi Tamas,
You can try to download the file via this link: http://tempsend.com/AF42BF2E1Dhttp://tempsend.com/AF42BF2E1D Let me know if it does not work.
Thanks for the help!
Best, Jia-Xing
On Sun, Apr 3, 2016 at 11:33 PM, Tamás Nepusz notifications@github.com wrote:
Github has gotten rid of the attachments so please upload them somewhere and send me a link - I'll download and check it out tomorrow. (But you are probably correct, the renaming of InterProScan annotation sources may indeed be one part of the problem).
— You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub https://github.com/ntamas/gfam/issues/5#issuecomment-205059813
Jia-Xing Yue
Population Genomics and Complex Traits Group Tour Pasteur 8eme etage Faculté de Médecine Institute for Research on Cancer and Aging, Nice (IRCAN) CNRS UMR 7284 - INSERM U 1081 Université de Nice Sophia Antipolis 28 Avenue de Valombrose 06107 NICE Cedex 2 France
Lab website: http://ircan.org/index.php?Itemid=98 Personal website: http://www.iamphioxus.org/
Hello Tamás,
I tried gfam for my project to group cerevisiae reference proteome into gene families. It ran smoothly but I found the final results looked a bit confusing to me. 1) Many functional annotation generated by Interproscan (e.g. those Panther annotations shown in the domain_architecture.tab file ) was discarded in the final assigned_labels.txt file. So the annotation information in the assigned_labels.txt is quite sparse. 2) I didn't see how genes were grouped into gene families as I expected. Where could I find this information?
Since there is a major updates from interproscan4 to interproscan5 (even for the output format of interproscan), I was wondering if this could be a reason. I can provide test data if needed. Thanks in advance!