Humana Eukaryotic Genomic Databases: Methods and Protocols: 1757 (Methods in Molecular Biology, 1757)

Product Description This volume explores databases containing genome-based data and genome-wide analyses. This book covers databases from all eukaryotic taxa, except plants. The chapters describe database contents and classic use-cases, which assist in accessing eukaryotic genomic data and encouraging comparative genomic research. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and authoritative, Eukaryotic Genomic Databases: Methods and Protocols is a valuable resource for geneticists and molecular biologists who are interested in the latest eukaryotic genomics data. The chapters 'PomBase: The Scientific Resource for Fission Yeast' and 'The Ensembl Genome Browser: Strategies for Accessing Eukaryotic Genome Data' are available open access under a CC BY 4.0 license via link.springer.com. From the Back Cover This volume explores databases containing genome-based data and genome-wide analyses. This book covers databases from all eukaryotic taxa, except plants. The chapters describe database contents and classic use-cases, which assist in accessing eukaryotic genomic data and encouraging comparative genomic research. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and authoritative, Eukaryotic Genomic Databases: Methods and Protocols is a valuable resource for geneticists and molecular biologists who are interested in the latest eukaryotic genomics data. The chapters 'PomBase: The Scientific Resource for Fission Yeast' and 'The Ensembl Genome Browser: Strategies for Accessing Eukaryotic Genome Data' are available open access under a CC BY 4.0 license via link.springer.com.