Pregled bibliografske jedinice broj: 439419
GORBI: Web application for the prediction of a protein's functional context
GORBI: Web application for the prediction of a protein's functional context // The 3rd Adriatic Meeting on Computational Solutions in the Life Sciences - Book of Abstracts / Babić, Darko ; Došlić, Nađa ; Smith, David ; Tomić, Sanja ; Vlahoviček, Kristian (ur.).
Zagreb: Institute of Computational Life Sciences (ICLS), 2009. str. 76-76 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 439419 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
GORBI: Web application for the prediction of a protein's functional context
Autori
Supek, Fran ; Šmuc, Tomislav ; Repar, Jelena ; Škunca, Nives
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The 3rd Adriatic Meeting on Computational Solutions in the Life Sciences - Book of Abstracts
/ Babić, Darko ; Došlić, Nađa ; Smith, David ; Tomić, Sanja ; Vlahoviček, Kristian - Zagreb : Institute of Computational Life Sciences (ICLS), 2009, 76-76
ISBN
978-953-6690-80-0
Skup
The 3rd Adriatic Meeting on Computational Solutions in the Life Sciences
Mjesto i datum
Primošten, Hrvatska, 01.09.2009. - 05.09.2009
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genome annotation; hierarchical multi-label classification; phylogenetic profiling
Sažetak
GORBI is an online database offering the results of computational gene function prediction in prokaryotic genomes. The analysis was done via the method of correlating gene occurrence patterns in selected organisms, termed phylogenetic profiling [1]. A machine learning algorithm based on decision trees for hierarchical multi-label classification [2] was used, and the annotations are represented in using the Gene Ontology vocabulary. The web interface will be used to present the results of our previous analyses in a clear and easily browsable accessible manner, thereby covering two angles in wet lab research: focusing on 1) function (needing prediction for genes having that function in any organism), and 2) organism (needing prediction of any function in this particular organism). The layout of the interface is shown in the figure. An early version of GORBI is freely available from http://gorbi.irb.hr/ 1. Kensche, P.R., et al., Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution. Journal of the Royal Society Interface, 2008. 5(19): p. 151-170. 2. Vens, C., et al., Decision trees for hierarchical multi-label classification. Machine Learning, 2008. 73(2): p. 185-214.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo
Napomena
Received the Best Poster Award of the 3rd CompSoLS Meeting.
POVEZANOST RADA
Projekti:
098-0000000-3168 - Strojno učenje prediktivnih modela u računalnoj biologiji (Šmuc, Tomislav, MZOS ) ( CroRIS)
098-0982913-2862 - Molekularni mehanizmi rekombinacije i popravka DNA (Zahradka, Davor, MZOS ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
