03885nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001600181100003300197245012000230264003800350300003500388336002600423337002600449338003900475347002400514505028100538520203900819650001902858650001402877650001402891650003802905650001602943650002002959650003002979650001903009650002003028650003703048650002103085650001603106650002403122650002403146700002803170710003403198773002003232776003603252856010303288978-0-387-37237-2DE-He21320260521091913.0cr nn 008mamaa100301s2007    xxu|    s    |||| 0|eng d  a9780387372372  a997803873723727 a10.1007/978-0-387-37237-22doi  cCICY04a570.2852231 aBal, Harshawardhan.eauthor.10aJava for Bioinformatics and Biomedical Applicationsh[recurso electrónico] /cby Harshawardhan Bal, Johnny Hujol. 1aBoston, MA :bSpringer US,c2007.  aXVII, 342 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda0 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™).  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). 0aLIFE SCIENCES. 0aONCOLOGY. 0aMEDICINE. 0aMEDICAL RECORDSxDATA PROCESSING. 0aPROTEOMICS. 0aBIOINFORMATICS. 0aBIOLOGYxDATA PROCESSING.14aLIFE SCIENCES.24aBIOINFORMATICS.24aCOMPUTER APPL. IN LIFE SCIENCES.24aCANCER RESEARCH.24aPROTEOMICS.24aMOLECULAR MEDICINE.24aHEALTH INFORMATICS.1 aHujol, Johnny.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z978038737235840uhttp://dx.doi.org/10.1007/978-0-387-37237-2zVer el texto completo en las instalaciones del CICY