Buch, Englisch, 451 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 942 g
Tools and Applications
Buch, Englisch, 451 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 942 g
ISBN: 978-0-387-92737-4
Verlag: Springer
The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Naturwissenschaften Biowissenschaften Tierkunde / Zoologie Tiergenetik, Reproduktion
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Botanik Pflanzenreproduktion, Verbreitung, Genetik
Weitere Infos & Material
DNA Sequence Databases.- Sequence Comparison Tools.- Genome Browsers.- Predicting Non-coding RNA Transcripts.- Gene Prediction Methods.- Gene Annotation Methods.- Regulatory Motif Analysis.- Molecular Marker Discovery and Genetic Map Visualisation.- Sequence Based Gene Expression Analysis.- Protein Sequence Databases.- Protein Structure Prediction.- Classification of Information About Proteins.- High-Throughput Plant Phenotyping – Data Acquisition, Transformation, and Analysis.- Phenome Analysis of Microorganisms.- Standards for Functional Genomics.- Literature Databases.- Advanced Literature-Mining Tools.- Data and Databases.- Programming Languages.