From: mayerg97 <ger...@ru...> - 2016-06-07 15:00:28
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Dear proteomics community, > > > attached there's the release candidate 3.90.0_rc1 of the psi-ms.obo file > containing new terms for the annotation of cross-linking files. > > New CV terms in version 3.90.0_rc1 of psi-ms.obo: > ================================================= > [Term] > id: MS:1002675 > name: cross-linking result details > def: "This subsection describes terms which can describe details of > cross-linking results." [PSI:PI] > relationship: part_of MS:1001000 ! spectrum interpretation > > [Term] > id: MS:1002676 > name: protein-pair-level global FDR > def: "Estimation of the global false discovery rate of proteins-pairs > in cross-linking experiments." [PSI:PI] > xref: value-type:xsd\:double "The allowed value-type for this CV term." > is_a: MS:1002675 ! cross-linking result details > relationship: has_domain MS:1002305 ! value between 0 and 1 inclusive > > [Term] > id: MS:1002677 > name: residue-pair-level global FDR > def: "Estimation of the global false discovery rate of residue-pairs > in cross-linking experiments." [PSI:PI] > xref: value-type:xsd\:double "The allowed value-type for this CV term." > is_a: MS:1002675 ! cross-linking result details > relationship: has_domain MS:1002305 ! value between 0 and 1 inclusive > > Best Regards, > Gerhard > > -- > > *--* > > *Dipl. Inform. med., Dipl. Wirtsch. **Inf. GERHARD MAYER* > > *PhD student* > > *Medizinisches Proteom-Center* > > *DEPARTMENT Medical Bioinformatics* > > *Building *ZKF E.049a | Universitätsstraße 150 | D-44801 Bochum > > *Fon *+49 (0)234 32-21006 | *Fax *+49 (0)234 32-14554 > > *E-mail***ger...@ru... > > www.medizinisches-proteom-center.de > > RUB Logo > > ANNOUNCEMENT de.NBI summer school September 2016: > > *Analysis of Mass-Spectrometric Data - * > > *Big Data Bioinformatics in Proteomics and Metabolomics* > > <http://www.denbi.de/index.php/11-training-cat/95-lss2016>http://www.denbi.de/index.php/11-training-cat/95-lss2016 > <http://www.denbi.de/index.php/11-training-cat/95-lss2016> |