Author: Kal Sharma
Edition: 1
Publisher: McGraw-Hill Professional
Binding: Hardcover
ISBN: 0071593063
Bioinformatics: Sequence Alignment and Markov Models
GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY
Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. Medical books Bioinformatics. Medical books Bioinformatics for High Throughput Sequencing. Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.
Download link for Essential Bioinformatics
Medical Book Bioinformatics
It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes.
Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation.
This thorough, up-to-date resource features:
- Worked-out problems illustrating concepts and models
- End-of-chapter exercises for self-evaluation
- Material based on student feedback
- Illustrations that clarify difficult math problems
- A list of bioinformatics-related websites
Bioinformatics covers:
- Sequence representation and alignment
- Hidden Markov models
- Applications of HMMs
- Gene finding
- Protein secondary structure prediction
- Microarray techniques
- Drug discovery and development
- Internet resources and public domain databases