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010   $a3-319-72377-4
024 7 $a10.1007/978-3-319-72377-8
035   $a(CKB)4100000002892186
035   $a(MiAaPQ)EBC5441108
035   $a(DE-He213)978-3-319-72377-8
035   $a(PPN)225553198
035   $a(EXLCZ)994100000002892186
100   $a20180316d2018      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMathematica for Bioinformatics$b[electronic resource] $eA Wolfram Language Approach to Omics /$fby George Mias
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (xvi, 384 pages) $cillustration
311   $a3-319-72376-6 
320   $aIncludes bibliographical references and index.
327   $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.
330   $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.
606   $aBioinformatics 
606   $aComputational biology 
606   $aMetabolism
606   $aMicroarrays
606   $aSystems biology
606   $aBioinformatics
606   $aBiostatistics
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
606   $aMetabolomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15030
606   $aMicroarrays$3https://scigraph.springernature.com/ontologies/product-market-codes/B12050
606   $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020
615  0$aBioinformatics .
615  0$aComputational biology .
615  0$aMetabolism.
615  0$aMicroarrays.
615  0$aSystems biology.
615  0$aBioinformatics.
615  0$aBiostatistics.
615 14$aComputer Appl. in Life Sciences.
615 24$aMetabolomics.
615 24$aMicroarrays.
615 24$aSystems Biology.
615 24$aComputational Biology/Bioinformatics.
615 24$aBiostatistics.
676   $a570.285
700   $aMias$b George$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059863
906   $aBOOK
912   $a9910298417603321
996   $aMathematica for Bioinformatics$92508909
997   $aUNINA