Author : Perry G. Wang
Publisher : CRC Press
Page : 432 pages
File Size : 26,96 MB
Release : 2008-08-20
Category : Medical
ISBN : 1420059548
The introduction of combinatorial chemistry technology has increased the amount of compounds generated in a year from 50 to 2000. Conventional analytical approaches simply cannot keep up. These circumstances have caused drug discovery to take on the shape of a bottleneck, like traffic through a toll booth. In order to break the bottleneck, a corres
Author : Perry G. Wang
Publisher : John Wiley & Sons
Page : 299 pages
File Size : 30,31 MB
Release : 2014-09-15
Category : Science
ISBN : 1118396308
HIGH THROUGHPUT ANALYSIS FOR FOOD SAFETY MEETS FSMA REQUIREMENTS WITH THE LATEST ADVANCES IN HIGH-THROUGHPUT SCREENING High-Throughput Analysis for Food Safety addresses the fundamental concepts involved in the rapid screening for contaminants, including residual veterinary drugs, proteins, metals, hormones, pesticides, and adulterants. Addressing the need for—and requirements of—rapid screening tests, the book includes discussions of regulations and compliance issues from perspectives of both domestic and global industry and government contributors. The latest developments and most common techniques are focused on, with an emphasis on the applicability of both stand-alone mass spectrometry methods and coupled techniques. Beginning with a review of high-throughput analysis basics, the authors conduct a full exploration of mass spectrometry applications allowing readers to: Survey GC-MS, LC-MS, stand-alone MS, and tandem MS methods in foodanalysis and contaminant screening Review quality control standards, method validation, and ongoing analyticalcontrol Examine the current methods used to detect veterinary medicinal productresidues in food, as well as future directionsRecent Recent incidents around the globe have turned the food industry toward high-throughput analysis, and the Food Safety Modernization Act has made it a legal requirement in the US. This resource provides an in-depth discussion of the latest advances in methods and instrumentation.
Author : Radislav A. Potyrailo
Publisher : Springer Science & Business Media
Page : 642 pages
File Size : 33,63 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1441989897
This book, edited by Potyrailo and Amis, addresses a new paradigm-shifting approach in the search for new materials-Combinatorial Materials Science. One way to consider such an approach is to imagine an adventurous chef who decides to look for new entrees by cooking food ingredients in many pots using different combinations in every pot, and boil ing, steaming, or frying them in various ways. Although most of the pots will not have the tastiest food ever devised, some recipes will taste intriguing, and some eventually will lead to a discovery of a new fascinating cuisine. Of course, having a skilled chef design the com binatorial formulation will certainly be helpful in ensuring a successful outcome. Similar to food, each engineering material is a complex product of its chemical composition, structure, and processing. Generally, each of these components matters---change one and you get another material. Most of these "new" materials will be less good than ones we use now since existing materials have been refined with the extensive work of scientists and engi neers. At the same time if one prepares diverse materials like our adventurous chef, chang ing material composition, processing conditions and time, etc. , some of these materials will be superior to existing ones and a few might represent breakout technology.
Author : James Kyranos
Publisher : Elsevier
Page : 204 pages
File Size : 14,33 MB
Release : 2004-09-18
Category : Science
ISBN : 0080472923
High Throughput Analysis for Early Drug Discovery offers concise and unbiased presentations by synthetic and analytical chemists who have been involved in creating and moving the field of combinatorial chemistry into the academic and industrial mainstream. Since the synthetic method often dictates the appropriate types of analysis, each chapter or section begins with a description of the synthesis approach and its advantages. The description of various combinatorial and high-throughput parallel synthesis techniques provide a relevant point of entry for synthetic chemists who need to set up appropriate characterisation methods for his/her organisation. This is an invaluable resource for all organic and analytical chemists in the pharmaceutical, agrochemical, and biotechnology fields who are either involved in, or beginning to investigate combinatorial techniques to increase overall efficiency and productivity. First reference to focus on the analytical side of synthesis
Author : Xiaohua Douglas Zhang
Publisher : Cambridge University Press
Page : 223 pages
File Size : 29,84 MB
Release : 2011-02-21
Category : Medical
ISBN : 1139498371
This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments.
Author : William P. Janzen
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 15,44 MB
Release : 2008-02-05
Category : Medical
ISBN : 1592591809
In High Throughput Screening, leading scientists and researchers expert in molecular discovery explain the diverse technologies and key techniques used in HTS and demonstrate how they can be applied generically. Writing to create precisely the introductory guidebook they wish had been available when they started in HTS, these expert seasoned authors illuminate the HTS process with richly detailed tutorials on the biological techniques involved, the management of compound libraries, and the automation and engineering approaches needed. Extensive discussions provide readers with all those key elements of pharmacology, molecular biology, enzymology, and biochemistry that will ensure the identification of suitable targets and screens, and detail the technology necessary to mine millions of data points for meaningful knowledge.
Author : Jörg Hüser
Publisher : John Wiley & Sons
Page : 362 pages
File Size : 49,66 MB
Release : 2006-12-13
Category : Science
ISBN : 3527609369
Backed by leading authorities, this is a professional guide to successful compound screening in pharmaceutical research and chemical biology, including the chemoinformatic tools needed for correct data evaluation. Chapter authors from leading pharmaceutical companies as well as from Harvard University discuss such factors as chemical genetics, binding, cell-based and biochemical assays, the efficient use of compound libraries and data mining using cell-based assay results. For both academics and professionals in the pharma and biotech industries working on small molecule screening.
Author : Angelo D'Alessandro
Publisher : Humana
Page : 459 pages
File Size : 31,46 MB
Release : 2020-06-06
Category : Science
ISBN : 9781493992386
This detailed volume focuses on recent technological, computational, and biostatistical advances in the field of high-throughput metabolomics. Chapters encompass methods, platforms, and analytical strategies for steady state measurements and metabolic flux analysis with stable isotope-labeled tracers, in biological matrices of clinical relevance and model organisms. Mass spectrometry-based or orthogonal methods are discussed, along with computational and statistical methods to address data sparsity in high-throughput metabolomics approaches. As a part of the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, High-Throughput Metabolomics: Methods and Protocols provides tools that can bring about the next generation of clinical biochemistry in a cost-effective, rigorous fashion, exponentially advancing our capacity to investigate nature while hastening the advent of personalized medicine.
Author : Naiara Rodríguez-Ezpeleta
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 15,10 MB
Release : 2011-10-26
Category : Science
ISBN : 1461407826
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.
Author : Altuna Akalin
Publisher : CRC Press
Page : 462 pages
File Size : 35,99 MB
Release : 2020-12-16
Category : Mathematics
ISBN : 1498781861
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
