Buch, Englisch, Band 1168, 326 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 8595 g
Reihe: Methods in Molecular Biology
Buch, Englisch, Band 1168, 326 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 8595 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-0846-2
Verlag: Springer
In Clinical Bioinformatics, Second Edition,leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. Recent developments in omics, such as increasingly sophisticated analytic platforms allowing changes in diagnostic strategies from the traditional focus on single or small number of analytes to what might be possible when large numbers or all analytes are measured, are now impacting patient care. Covering such topics as gene discovery, gene function (microarrays), DNA sequencing, online approaches and resources, and informatics in clinical practice, this volume concisely yet thoroughly explores this cutting-edge subject. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.
Authoritative and easily accessible, Clinical Bioinformatics, Second Edition serves as an ideal guide for scientists and health professionals working in genetics and genomics.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Naturwissenschaften Biowissenschaften Biowissenschaften DNA und Transgene Organismen
Weitere Infos & Material
1. From the Phenotype to the Genotype via Bioinformatics
Cali E. Willet and Claire M. Wade
2. Production and Analytic Bioinformatics for Next-Generation DNA Sequencing
Richard James Nigel Allcock
3. Analyzing the Metabolome
Francis G. Bowling and Mervyn Thomas
4. Statistical Perspectives for Genome-Wide Association Studies (GWAS)
Jennifer H. Barrett, John C. Taylor and Mark M. Iles
5. Bioinformatics Challenges in Genome-Wide Association Studies (GWAS)
Rishika De, William S. Bush, and Jason H. Moore
6. Studying Cancer Genomics through Next-Generation Sequencing and Bioinformatics
Maria A. Doyle, Jason Li, Ken Doig, Andrew Fellowes, and Stephen Q. Wong
7. Using Bioinformatics Tools to Study the Role of microRNA in Cancer
Fabio Passetti, Natasha Jorge, and Alan Durham
8. Chromosome Microarrays in Diagnostic Testing: Interpreting the Genomic Data
Greg B. Peters and Mark D. Pertile
9. Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders
Ali Alawieh, Zahraa Sabra, Amaly Nokkari, Atlal El-Assaad, Stefania Mondello, Fadi Zaraket, Bilal Fadlallah, and Firas H. Kobeissy
10. Pathogen Genome Bioinformatics
Vitali Sintchenko and Michael P.V. Roper
11. Setting Up Next-Generation DNA Sequencing in the Medical Laboratory
Bing Yu
12. Managing Incidental Findings in Exome Sequencing for Research
Marcus J. Hinchcliffe
13. Approaches for Classifying DNA Variants Found by Sanger Sequencing in a Medical Genetics Laboratory
Pak Leng Cheong and Melody Caramins
14. Designing Algorithms for Determining Significance of DNA Missense Changes
Sivakumar Gowrisankar and Matthew S. Lebo
15. DNA Variant Databases: Current and Future Directions
John-Paul Plazzer and Finlay Macrae
16. Natural Language Processing Systems in Biomedicine: A Unified System Architecture Overview
Son Doan, Mike Conway, Tu Minh Phuong, and Lucila Ohno-Machado
17. Candidate Gene Discovery and Prioritization in Rare Diseases
Anil G. Jegga
18. Computer Aided Drug Designing
Mohini Gore and Neetin S. Desai
