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020 _a9783030183752
024 7 _a10.1007/978-3-030-18375-2
_2doi
040 _aES-MaUEC
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050 4 _aQH324.2
_b2019 EB
245 0 0 _aEssentials of Bioinformatics, Volume II
_bIn Silico Life Sciences: Medicine
_cedited by Noor Ahmad Shaik, Khalid Rehman Hakeem, Babajan Banaganapalli, Ramu Elango.
250 _aFirst edition
264 1 _aCham, Switzerland
_bSpringer International Publishing
_c2019
300 _a1 recurso en línea (XV, 309 páginas)
_b75 ilustraciones, 72 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aBiomedical and Life Sciences (Springer-11642)
505 0 _a1. Driving forces of Bioinformatics -- 2. Genetic association from RFLPs to millions of variant markers - Unravelling the genetic complexity of diseases -- 3. Diagnostic revolution post-Human Genome Sequence project: High throughput technologies and Bioinformatics -- 4. Genomic revolution driven Cancer Research -- 5. Chromosomal Microarray in the New High Throughput Technological and Bioinformatic Era -- 6. Finding a Needle in a Haystack: Variant Effect Predictor (VEP) to Prioritize Candidate Variants from Millions -- 7. Clinical Strategies for Developing Next-Generation Cancer Precision Medicine -- 8. Dental stem cells in regenerative medicine: Emerging trends and prospects in the era of bioinformatics -- 9. Multiple Analyte Profiling Technology (xMAP) coupled with Functional Bioinformatics Strategies: Potential Applications in Protein Biomarker Profiling in Autoimmune Inflammatory Diseases -- 10. Design and Development of Small Molecules from Somatic, Stem Cell Reprogramming and Therapy -- 11. Molecular Modeling and drug design techniques in Microbial Drug Discovery -- 12 -- Combinatorial designing of novel lead molecules towards the putative drugs targets of extreme drug resistant Mycobacterium tuberculosis: a future insight for molecular medicine -- Index.
520 3 _aBioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.
988 _aPrimersemestre_2020_BiomedLife
650 7 _2embne
_aBioinformática
_9160489
700 1 _aShaik, Noor Ahmad
_eeditor literario
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHakeem, Khalid Rehman
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700 1 _aBanaganapalli, Babajan
_eeditor literario
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aElango, Ramu
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773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030183745
776 0 8 _iPrinted edition:
_z9783030183769
776 0 8 _iPrinted edition:
_z9783030183776
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-18375-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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