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000826964 0247_ $$a10.1007/978-3-319-72377-8$$2doi
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000826964 050_4 $$aQH324.2-324.25
000826964 08204 $$a570.285$$223
000826964 1001_ $$aMias, George.$$eauthor.
000826964 24510 $$aMathematica for Bioinformatics :$$bA Wolfram Language Approach to Omics /$$cby George Mias.
000826964 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint: Springer,$$c2018.
000826964 300__ $$a1 online resource (xvi, 384 pages) :$$billustrations.
000826964 336__ $$atext$$btxt$$2rdacontent
000826964 337__ $$acomputer$$bc$$2rdamedia
000826964 338__ $$aonline resource$$bcr$$2rdacarrier
000826964 347__ $$atext file$$bPDF$$2rda
000826964 504__ $$aIncludes bibliographical references and index.
000826964 5050_ $$a1 Introduction to Bioinformatics -- 2. A Mathematica Primer for Bioinformaticians -- 3. Statistics for Genomic Analysis -- 4. Genomic Sequences -- 5. Databases -- 6. Transcriptomics -- 7. Proteomics -- 8. Metabolomics -- 9. Systems Biology -- 10. Networks -- 11. Time Series Analysis -- 12. Omics Integration and Systems Medicine -- 13. Bioinformatics Development with Mathematica.
000826964 506__ $$aAccess limited to authorized users.
000826964 520__ $$aThis book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, and differential gene expression, to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to include the Wolfram Language.
000826964 650_0 $$aLife sciences.
000826964 650_0 $$aMicroarrays.
000826964 650_0 $$aBioinformatics.
000826964 650_0 $$aSystems biology.
000826964 650_0 $$aBiometry.
000826964 650_0 $$aMetabolism.
000826964 650_0 $$aComputational biology.
000826964 77608 $$iPrint version: $$z9783319723761
000826964 852__ $$bebk
000826964 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-72377-8$$zOnline Access$$91397441.1
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000826964 980__ $$aEBOOK
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000826964 983__ $$aOnline
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