Clinical bioinformatics /
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| Edition: | 2nd ed. |
|---|---|
| Imprint: | New York : Humana Press : Springer, ©2014. |
| Description: | 1 online resource (xi, 326 pages) : illustrations (some color) |
| Language: | English |
| Series: | Methods in molecular biology, 1940-6029 ; 1168 Methods in molecular biology (Clifton, N.J.) ; v. 1168. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11230504 |
MARC
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| 245 | 0 | 0 | |a Clinical bioinformatics / |c edited by Ronald J.A. Trent. |
| 250 | |a 2nd ed. | ||
| 264 | 1 | |a New York : |b Humana Press : |b Springer, |c ©2014. | |
| 300 | |a 1 online resource (xi, 326 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Methods in molecular biology, |x 1940-6029 ; |v 1168 | |
| 505 | 0 | 0 | |t From the phenotype to the genotype via bioinformatics / |r Cali E. Willet and Claire M. Wade -- |t Production and analytic bioinformatics for next-generation DNA sequencing / |r Richard James Nigel Allcock -- |t Analyzing the metabolome / |r Francis G. Bowling and Mervyn Thomas -- |t Statistical perspectives for genome-wide association studies (GWAS) / |r Jennifer H. Barrett, John C. Taylor, and Mark M. Iles -- |t Bioinformatics challenges in genome-wide association studies (GWAS) / |r Rishika De, William S. Bush, and Jason H. Moore -- |t Studying cancer genomics through next-generation DNA sequencing and bioinformatics / |r Maria A. Doyle [and others] -- |t Using bioinformatics tools to study the role of microRNA in cancer / |r Fabio Passetti [and others] -- |t Chromosome microarrays in diagnostic testing : interpreting the genomic data / |r Greg B. Peters and Mark D. Pertile -- |t Bioinformatics approach to understanding interacting pathways in neuropsychiatric disorders / |r Ali Alawieh [and others] -- |t Pathogen genome bioinformatics / |r Vitali Sintchenko and Michael P.V. Roper -- |t Setting up next-generation sequencing in the medical laboratory / |r Bing Yu -- |t Managing incidental findings in exome sequencing for research / |r Marcus J. Hinchcliffe -- |t Approaches for classifying DNA variants found by sanger sequencing in a medical genetics laboratory / |r Pak Leng Cheong and Melody Caramins -- |t Designing algorithms for determining significance of DNA missense changes / |r Sivakumar Gowrisankar and Matthew S. Lebo -- |t DNA variant databases : current state and future directions / |r John-Paul Plazzer and Finlay Macrae -- |t Natural language processing in biomedicine : a unified system architecture overview / |r Son Doan [and others] -- |t Candidate gene discovery and prioritization in rare diseases / |r Anil G. Jegga -- |t Computer-aided drug designing / |r Mohini Gore and Neetin S. Desai. |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 3 | |a 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. | |
| 520 | 3 | |a 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. | |
| 520 | 3 | |a 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. | |
| 520 | 3 | |a Authoritative and easily accessible, Clinical Bioinformatics, Second Edition serves as an ideal guide for scientists and health professionals working in genetics and genomics. | |
| 650 | 0 | |a Bioinformatics. |0 http://id.loc.gov/authorities/subjects/sh00003585 | |
| 650 | 0 | |a Computational biology. |0 http://id.loc.gov/authorities/subjects/sh2003008355 | |
| 650 | 0 | |a Genomics |x Data processing. | |
| 650 | 1 | 2 | |a Computational Biology |x methods. |
| 650 | 2 | 2 | |a Databases, Genetic. |
| 650 | 2 | 2 | |a Genomics. |
| 650 | 2 | 2 | |a Medical Informatics Computing. |
| 650 | 2 | 2 | |a Sequence Analysis, DNA. |
| 650 | 7 | |a Bioinformatics. |2 fast |0 (OCoLC)fst00832181 | |
| 650 | 7 | |a Computational biology. |2 fast |0 (OCoLC)fst00871990 | |
| 650 | 7 | |a Genomics |x Data processing. |2 fast |0 (OCoLC)fst00940229 | |
| 653 | 0 | 0 | |a bioinformatics |
| 653 | 1 | 0 | |a Bioinformatics (General) |
| 653 | 1 | 0 | |a Bioinformatica (algemeen) |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Trent, R. J. |0 http://id.loc.gov/authorities/names/n93800918 | |
| 776 | 0 | 8 | |i Print version: |t Clinical bioinformatics. |d New York : Humana, ©2014 |w (OCoLC)872342191 |
| 830 | 0 | |a Methods in molecular biology (Clifton, N.J.) ; |v v. 1168. |x 1064-3745 | |
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| 928 | |t Library of Congress classification |a QH324.2 .C556 2014 |l Online |c UC-FullText |u https://link.springer.com/10.1007/978-1-4939-0847-9 |z Springer Nature |g ebooks |i 12532028 | ||