01515nam 2200409 a 450 991070092130332120120706104132.0(CKB)5470000002413817(OCoLC)798333240(EXLCZ)99547000000241381720120706d2011 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierFruit and vegetable planting restrictions[electronic resource] analyzing the processing cucumber market /Barry Krissoff ... [and others][Washington, D.C.] :U.S. Dept. of Agriculture, Economic Research Service,[2011]1 online resource (23 pages) color illustrationsA report from the Economic Research ServiceTitle from title screen (viewed on July 6, 2012)."February 2011.""VGS-342-02."Includes bibliographical references (pages 19-20).Fruit and vegetable planting restrictions Cucumber industryMiddle WestAgricultural subsidiesMiddle WestCucumber industryAgricultural subsidiesKrissoff Barry1382849United States.Department of Agriculture.Economic Research Service.GPOGPOBOOK9910700921303321Fruit and vegetable planting restrictions3497757UNINA03927nam 22006975 450 991029841760332120250609110743.03-319-72377-410.1007/978-3-319-72377-8(CKB)4100000002892186(MiAaPQ)EBC5441108(DE-He213)978-3-319-72377-8(PPN)225553198(MiAaPQ)EBC5588815(EXLCZ)99410000000289218620180316d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMathematica for Bioinformatics A Wolfram Language Approach to Omics /by George Mias1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (xvi, 384 pages) illustration3-319-72376-6 Includes bibliographical references and index.1 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.This 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.BioinformaticsComputational biologyMetabolismMicroarraysSystems biologyBioinformaticsBiometryComputer Appl. in Life Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/L17004Metabolomicshttps://scigraph.springernature.com/ontologies/product-market-codes/L15030Microarrayshttps://scigraph.springernature.com/ontologies/product-market-codes/B12050Systems Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L15010Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Biostatisticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15020Bioinformatics.Computational biology.Metabolism.Microarrays.Systems biology.Bioinformatics.Biometry.Computer Appl. in Life Sciences.Metabolomics.Microarrays.Systems Biology.Computational Biology/Bioinformatics.Biostatistics.570.285Mias Georgeauthttp://id.loc.gov/vocabulary/relators/aut1059863BOOK9910298417603321Mathematica for Bioinformatics2508909UNINA