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020 _a9783319401263
_9978-3-319-40126-3
024 7 _a10.1007/978-3-319-40126-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
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245 1 0 _a10th International Conference on Practical Applications of Computational Biology & Bioinformatics
_h[electronic resource] /
_cedited by Mohd Saberi Mohamad, Miguel P. Rocha, Florentino Fdez-Riverola, Francisco J. Domínguez Mayo, Juan F. De Paz.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXV, 224 p. 60 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v477
505 0 _aData And Text Mining -- Gene Expression -- Genomics -- Systems Biology.
520 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aBioinformatics.
_99561
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational and Systems Biology.
_931619
700 1 _aSaberi Mohamad, Mohd.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954545
700 1 _aRocha, Miguel P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954546
700 1 _aFdez-Riverola, Florentino.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954547
700 1 _aDomínguez Mayo, Francisco J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954548
700 1 _aDe Paz, Juan F.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954549
710 2 _aSpringerLink (Online service)
_954550
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319401256
776 0 8 _iPrinted edition:
_z9783319401270
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v477
_954551
856 4 0 _uhttps://doi.org/10.1007/978-3-319-40126-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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