000			03988nam a22005175i 4500
001			978-0-387-37237-2
003			DE-He213
005			20250710083957.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387372372 _a99780387372372
024	7		_a10.1007/978-0-387-37237-2 _2doi
082	0	4	_a570.285 _223
100	1		_aBal, Harshawardhan. _eauthor.
245	1	0	_aJava for Bioinformatics and Biomedical Applications _h[recurso electrónico] / _cby Harshawardhan Bal, Johnny Hujol.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXVII, 342 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_ato Bioinformatics and Java -- to Basic Local Alignment Search Tool -- Running BLAST using SwingBlast -- Facilitating PubMed Searches: JavaServer Pages and Java Servlets -- Creating a Gene Prediction and BLAST Analysis Pipeline -- cancer Biomedical Informatics Grid (caBIG™).
520			_aJava for Bioinformatics and Biomedical Applications describes the work of the U.S. National Cancer Institute (NCI, National Institutes of Health, U.S. Department of Health and Human Services) and a large number of cancer centers across the U.S. under the caBIG™ (cancer Biomedical Informatics Grid) program, as well as standard bioinformatics applications. The goal of NCI caBIG™ is to create a standards based, interoperable network of individuals, applications and data to enhance the pace of cancer research. CaBIG™ uses J2EE and open source standards for all software development work. This book examines the tools and technologies being developed under caBIG™ to meet the goal of eliminating suffering and death from cancer by 2015 as formulated by the former NCI Director, Dr. Andrew von Eschenbach.In doing so, it provides a vignette into the efforts of thousands of people - molecular biologists, medical practitioners, software developers, to name a few - across the country to bring the promise of translational research to individuals with cancer. From a software perspective, a functional approach is used to teach the Java platform and its features for enterprise-level application development. Under this approach, the various syntactical and operative elements of the language and any software libraries that have been used (for example, BioJava, Apache, etc.) are taught not in isolation but in the context of discrete definable research problems that enable the user to relate how the different parts of the language fit together in the big picture. All examples are derived from practical problems faced in biomedical/clinical data retrieval and analysis during routine bioinformatics and cancer research. Further, the book illustrates how individual bioinformatics applications (such as BLAST and Genscan) can be stitched together into a pipeline so that users can direct the output of one tool (for example, gene predictions using Genscan) to perform further analysis (say, homology searching using BLAST).
650		0	_aLIFE SCIENCES.
650		0	_aONCOLOGY.
650		0	_aMEDICINE.
650		0	_aMEDICAL RECORDS _xDATA PROCESSING.
650		0	_aPROTEOMICS.
650		0	_aBIOINFORMATICS.
650		0	_aBIOLOGY _xDATA PROCESSING.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aBIOINFORMATICS.
650	2	4	_aCOMPUTER APPL. IN LIFE SCIENCES.
650	2	4	_aCANCER RESEARCH.
650	2	4	_aPROTEOMICS.
650	2	4	_aMOLECULAR MEDICINE.
650	2	4	_aHEALTH INFORMATICS.
700	1		_aHujol, Johnny. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387372358
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-37237-2 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c57551 _d57551