000			03717nam a22005295i 4500
001			978-3-319-07581-5
003			DE-He213
005			20200421111657.0
007			cr nn 008mamaa
008			140521s2014 gw | s |||| 0|eng d
020			_a9783319075815 _9978-3-319-07581-5
024	7		_a10.1007/978-3-319-07581-5 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_a8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014) _h[electronic resource] / _cedited by Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXIV, 294 p. 101 illus., 35 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v294
505	0		_aApplications -- Data Analysis and Mining -- Proteins -- Sequence Analysis -- Systems Biology -- Text Mining.
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'14 contributes to this effort promoting this fruitful interaction. PACBB'14 technical program included 34 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference promotes the interaction of scientists from diverse research groups and with a distinct background such as computer scientists, mathematicians, or biologists.  .
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aBioinformatics.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComputational Biology/Bioinformatics.
700	1		_aSaez-Rodriguez, Julio. _eeditor.
700	1		_aRocha, Miguel P. _eeditor.
700	1		_aFdez-Riverola, Florentino. _eeditor.
700	1		_aDe Paz Santana, Juan F. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319075808
830		0	_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v294
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-07581-5
912			_aZDB-2-ENG
942			_cEBK
999			_c54795 _d54795