LEADER 04541nam 22006375 450 001 9910254228103321 005 20200703010649.0 010 $a3-319-40126-2 024 7 $a10.1007/978-3-319-40126-3 035 $a(CKB)3710000000718000 035 $a(EBL)4537043 035 $a(DE-He213)978-3-319-40126-3 035 $a(MiAaPQ)EBC4537043 035 $a(PPN)194078116 035 $a(EXLCZ)993710000000718000 100 $a20160531d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a10th International Conference on Practical Applications of Computational Biology & Bioinformatics /$fedited by Mohd Saberi Mohamad, Miguel P. Rocha, Florentino Fdez-Riverola, Francisco J. Domínguez Mayo, Juan F. De Paz 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v477 311 $a3-319-40125-4 320 $aIncludes bibliographical references and index. 327 $aData And Text Mining -- Gene Expression -- Genomics -- Systems Biology. 330 $aBiological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB?16 hopes to contribute to this effort promoting this fruitful interaction. PACBB'16 technical program included 21 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly promote the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work being developed by each of the participants. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v477 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBioinformatics 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputational Biology/Bioinformatics. 676 $a570.285 702 $aSaberi Mohamad$b Mohd$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRocha$b Miguel P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFdez-Riverola$b Florentino$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDomínguez Mayo$b Francisco J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDe Paz$b Juan F$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254228103321 996 $a10th International Conference on Practical Applications of Computational Biology & Bioinformatics$91539933 997 $aUNINA