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2016 (5)

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Book
Polymerase Chain Reaction for Biomedical Applications
Authors: ---
ISBN: 9535127969 9535127950 9535141333 Year: 2016 Publisher: IntechOpen

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Abstract

Do you want to know the details that should be taken into consideration in order to have accurate conventional and real-time PCR results? If so, this book is for you. Polymerase Chain Reaction for Biomedical Applications is a collection of chapters for both novice and experienced scientists and technologists aiming to address obtaining an optimized real-time PCR result, simultaneous processing of a large number of samples and assays, performing PCR and RT-PCR on cell lysate without extraction of DNA or RNA, detecting false-positive PCR results, detecting organisms in viral and microbial diseases and hospital environment, following safety assessments of food products, and using PCR for introduction of mutations. This is a must-have book for any PCR laboratory.


Book
Basisprincipes van de PCR
Authors: ---
ISBN: 9789491764172 Year: 2016 Publisher: Utrecht Syntax Media

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Abstract

De polymerase-kettingreactie (Polymerase Chain Reaction, PCR) heeft een revolutie ontketend in het fundamenteel wetenschappelijk en diagnostisch onderzoek op tal van terreinen en is niet meer weg te denken uit vele laboratoria. Dit toegankelijke en rijk geïllustreerde boek vat alles samen dat je over de moderne PCR-praktijk moet weten. Hoe de PCR precies werkt, de functie en optimalisatie van PCR-componenten en de begrippen primer en probe-ontwikkeling komen aan bod. Tevens worden de principes van de realtime-PCR, de analyse van (realtime)-PCR-producten en enkele basisbegrippen van kwaliteitszorg op het PCR-laboratorium behandeld. In deze 2e druk zijn correcties en enkele inhoudelijke verbeteringen doorgevoerd.



Digital
Microfluidic Methods for Molecular Biology
Authors: ---
ISBN: 9783319300191 Year: 2016 Publisher: Cham Springer International Publishing

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This book covers the state-of-the-art research on molecular biology assays and molecular techniques enabled or enhanced by microfluidic platforms. Topics covered include microfluidic methods for cellular separations and single cell studies, droplet-based approaches to study protein expression and forensics, and microfluidic in situ hybridization for RNA analysis. Key molecular biology studies using model organisms are reviewed in detail. This is an ideal book for students and researchers in the microfluidics and molecular biology fields as well as engineers working in the biotechnology industry. This book also: Reviews exhaustively the latest techniques for single-cell genetic, epigenetic, metabolomic, and proteomic analysis Illustrates microfluidic approaches for inverse metabolic engineering, as well as analysis of circulating exosomes Broadens readers’ understanding of microfluidics convection-based PCR technology, microfluidic RNA-seq, and microfluidics for robust mobile diagnostics.


Digital
Stable Isotopes to Trace Migratory Birds and to Identify Harmful Diseases : An Introductory Guide
Authors: --- ---
ISBN: 9783319282985 Year: 2016 Publisher: Cham Springer International Publishing

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Abstract

This manuscript discusses the potentials of the approaches as mentioned below to monitor the AIVs in WMW. Molecular diagnostic platforms enable for accurate detection of the AIVs in the feces of infected birds. Similar technologies can be used to determine the bird species through DNA barcoding, enabling non-invasive research on the epidemiology of the disease. Wild migratory waterfowl (WMW) play significant role in the transmission of avian influenza viruses (AIVs) on large distances. Understanding bird migrations may therefore significantly contribute towards understanding of the disease epidemiology, however most conventional approaches to trace WMW migrations are based on capturing, tagging (mostly ringing or GPS devices) and their re-capturing to link the departure and arrival places. Stable isotope ratios in metabolically inert tissues (feathers, beaks, claws) reflect the ratios present at the point of intake (drinking or feeding), thus enabling for tracing bird origins at stopover places. Molecular diagnostic platforms such as the polymerase chain reaction (PCR) enable for accurate detection of the AIVs in the feces of infected birds. Similar technologies (genetic sequencing) can be used to determine the bird species through DNA barcoding. Simple and easy collection of feather and fecal samples at the stopover places may generate a full information package on which species of WMW carries the AIVs (PCR+DNA barcoding on the feces), as well as the origin of these species (SI+DNA barcoding on the feathers). Therefore, such approaches enable for research on the epidemiology and the ecology of the AIVs in WMW using a non-invasive platform, which does not require capturing of WMW. This manuscript discusses the potentials of these approaches to monitor the AIVs in WMW.


Digital
Principal Component Regression for Crop Yield Estimation
Authors: ---
ISBN: 9789811006630 Year: 2016 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of principal component regression models and applying the same for the crop yield estimation.

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