Focusing on in vitro and intracellular RNA structure formation, RNA Folding: Methods and Protocols provides a comprehensive collection of experimental protocols which are suitable to dissect RNA folding pathways and to characterize the structure of RNA folding intermediates at nucleotide or even atomic resolution. The presented techniques include powerful tools with a long tradition in RNA research as well as more advanced, novel methods, thus the methods span multiple disciplines, including molecular biology, biochemistry, biophysics, and computational biology. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Practical and authoritative, RNA Folding: Methods and Protocols serves as a vital reference for researchers attempting to gain insights into the secrets of this astounding macromolecule.

With the ever-increasing volume of information in clinical medicine, researchers and health professionals need computer-based storage, processing and dissemination. In this book, leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. This book is the perfect guide for researchers and clinical scientists working in this emerging "omics" era.

Nonmammalian model organisms have become a cornerstone of systems biology research. Like the Rosetta Stone, which enabled modern scholars to decode ancient Egyptian hieroglyphics, model organisms enable biologists to decipher the genetic code underlying the complex physiological processes common to all life. C. elegans provides a particularly striking example of the experimental utility of model organisms. Genetic, molecular and systems biological characterization of this organism is greatly facilitated by its short life cycle and high rate reproduction, and by the ease with which it can be cultured in the laboratory. C. elegans also has a fully sequenced and well-annotated genome, which is assembled in readily accessible public databases along with virtually all other biological data on this organism.
C. elegans: Methods and Applications aims to enhance the readily available methodologies for the study of C. elegans by providing overviews and concise, step-by-step descriptions of the most state-of-the-art methods currently being utilized in the field. Some of the methods presented include forward and reverse genetic analysis, data mining and comparative genomics strategies, electron and fluorescence microscopy methods, automated imaging methods for worm behavioral analysis, functional genomics strategies, and cutting-edge methods for physiological analyses. This comprehensive collection of methods, written by experts in the field, endeavors to serve as a roadmap for researchers, illustrating the type or research that is possible with C. elegans, and illuminating its potential as a vehicle for future discovery.

This volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret's research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest. Topics and features: addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem; describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees; discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events; reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches; examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation; highlights how evolution can provide a framework within which to understand comparative and functional genomics; provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem. Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics.

One of the only books discussing new advances in venous ulcer therapy, "Venous Ulcers" provides a comprehensive look at the molecular biology and pathophysiology of venous ulcers. It discusses the many new treatments currently being used that offer non-invasive treatment options to patients with venous ulcerations.
* Leg ulcers are defined as a discontinuity of the epithelial surface; a local defect or excavation of the surface of the skin.
* Venous ulceration tends to take a number of months to heal followed by frequent relapse to further episodes.
* This work discusses the newest tools of patient investigation that have emerged in recent years that help to shorten patient recovery times and provide less invasive treatments

In July 2009, many experts in the mathematical modeling of biological sciences gathered in Les Houches for a 4-week summer school on the mechanics and physics of biological systems. The goal of the school was to present to students and researchers an integrated view of new trends and challenges in physical and mathematical aspects of biomechanics. While the scope for such a topic is very wide, they focused on problems where solid and fluid mechanics play a central role. The school covered both the general mathematical theory of mechanical biology in the context of continuum mechanics but also the specific modeling of particular systems in the biology of the cell, plants, microbes, and in physiology.
These lecture notes are organized (as was the school) around five different main topics all connected by the common theme of continuum modeling for biological systems: Bio-fluidics, Bio-gels, Bio-mechanics, Bio-membranes, and Morphogenesis. These notes are not meant as a journal review of the topic but rather as a gentle tutorial introduction to the readers who want to understand the basic problematic in modeling biological systems from a mechanics perspective.

This volume details protocols for genetic, molecular, cytological, and bioinformatic methods for determining haplotypes. Haplotyping: Methods and Protocols guides readers through methods that directly type haploid cells, difficult-to-resolve gene families, high-resolution, short range haplotyping for targeted loci, and long-range haplotyping for whole chromosomes or genomes. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical Haplotyping: Methods and Protocols, aims to provide researchers with an overview of experimental methods for haplotyping.

This volume will address an important emergent area within the field of immunomics: the discovery of antigens and adjuvants within the context of reverse vaccinology. Conventional approaches to vaccine design and development requires pathogens to be cultivated in the laboratory and the immunogenic molecules within them to be identifiable. Conventional vaccinology is no longer universally successful, particularly for recalcitrant pathogens. By using genomic information we can study vaccine development in silico: 'reverse vaccinology', can identify candidate subunits vaccines by identifying antigenic proteins and by using equally rational approaches to identify novel immune response-enhancing adjuvants.

This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well-developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians. The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology for this new edition. This second expanded edition adds new material published during the last decade, with nearly 200 new references. More material has been added on infinitely-dimensional multitype processes, including the infinitely-dimensional linear-fractional case. Hypergeometric function treatment of the special case of the Griffiths-Pakes infinite allele branching process has also been added. There are additional applications of recent molecular processes and connections with systems biology are explored, and a new chapter on genealogies of branching processes and their applications. Reviews of First Edition: "This is a significant book on applications of branching processes in biology, and it is highly recommended for those readers who are interested in the application and development of stochastic models, particularly those with interests in cellular and molecular biology." (Siam Review, Vol. 45 (2), 2003) "This book will be very interesting and useful for mathematicians, statisticians and biologists as well, and especially for researchers developing mathematical methods in biology, medicine and other natural sciences." (Short Book Reviews of the ISI, Vol. 23 (2), 2003)

As functional genomics has become one of the major focuses in molecular biology, the need for more sophisticated tools to assist in the identification of the functionality of undefined genes and the correlation of DNA variants with a particular phenotype has increased greatly. In Silico Tools for Gene Discovery collects many common and useful in silico tools available today. The volume begins by investigating locus mapping information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico PCR, and statistical analysis. It continues with a section on gene discovery from a defined locus, including gene prioritization, knowledge tracking, and data mining, and concludes with several useful in silico tools presented for the functional characterization of genes, which include DNA sequencing analysis, variant characterization, as well as RNA and protein analysis. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters include introductions to their respective topics, step-by-step, readily reproducible protocols, and vital notes on troubleshooting and avoiding known pitfalls. Resourceful and easy to follow, In Silico Tools for Gene Discovery seeks to facilitate scientists with further key research on locus mapping, to accelerate gene identification, and to help ascertain the functionality of DNA variation.

Membranes are essential cellular organelles. They not only define cells and other organelles, but also are critical in the cell function by selectively regulating the passage of molecules by acting as a matrix for other signaling molecules, and as conduits of information transfer between the external environment and the cell interior. This series was originally added in 1970 and has since provided a systematic, comprehensive, and rigorous approach to specific topics relevant to the study of cellular membranes. Each volume is a guest edited compendium of membrane biology. This series has been a mainstay for practicing scientists and students interested in this critical field of biology. Articles covered in the volume include The Mechanical Properties of Bilayers; Molecular Dynamic Modeling of MS Channels; Structures of the Prokaryotic Mechanosensitive; Channels MscL and MscS; 3.5 Billion Years of Mechanosensory Transduction: Structure and Function of Mechanosensitive Channels in Prokaryotes; Activation of Mechanosensitive Ion Channels by Forces Transmitted through Integrins and the Cytoskeleton; Thermodynamics of Mechanosensitivity; Flexoelectricity and Mechanotransduction; Lipid Effects on Mechanosensitive Channels; Functional Interactions of the Extracellular Matrix with Mechanosensitive Channels; MSCL: The Bacterial Mechanosensitive Channel of Large Conductance; The Bacterial Mechanosensitive Channel MscS: Emerging Principles of Gating and Modulation; Structure function relations of MscS; The MscS Cytoplasmic Domain and its Conformational Changes upon the Channel Gating; Microbial TRP Channels and Their Mechanosensitivity; MSCS-Like Proteins in Plants; Delivering Force and AmplifyingSignals in Plant Mechanosensing; MS Channels in Tip Growing Systems.

Current Topics in Membranes provides a systematic, comprehensive, and rigorous approach to specific topics relevant to the study of cellular membranes. Each volume is a guest edited compendium of membrane biology. This series has been a mainstay for practicing scientists and students interested in this critical field of biology. Articles covered in the volume include ENaC Proteins in Vascular Smooth Muscle Mechanotransduction; Regulation of the Mechano-Gated K2P Channel TREK-1 by Membrane Phospholipids; MechanoTRPs and TRPA1; TRPC; The Cytoskeletal Connection to Ion Channels as a Potential Mechanosensory Mechanism. Lessons From Polycystin-2 (TRPP2); Lipid Stress at Play: Mechanosensitivity of Voltage-Gated Channels; Hair Cell Mechanotransduction: The Dynamic Interplay between Structure and Function; Pharmacology of Hair Cell MS Channels; Hair Cell Mechanotransduction; Models of Hair Cell Mechanotrasduction; Touch; Mechanosensitive Ion Channels in Dystrophic Muscle; Mechanotransduction in Endothelial Cells;
MS Channels in Tumor Cell Migration; Mechanosensitive Channels in Regulating Smooth Muscle Contraction in the GI; Mechanosensitive Ion Channels in Blood-Pressure-Sensing Baroreceptor Neurons.

Lactobacillus is a genus of Gram-positive facultative anaerobic or microaerophilic bacteria. In humans, they are symbiotic and are found in the gut flora. Lactobacillus species are used for the production of yogurt, cheese, sauerkraut, pickles, beer, wine, cider, kimchi, chocolate, and other fermented foods, as well as animal feeds such as silage. In recent years, much interest has been shown in the use of lactobacilli as probiotic organisms and their potential for disease prevention in humans and animals. This major new work focuses on recent research on the molecular biology and genomics of Lactobacillus. Written by an international team of scientists, the volume is an essential reference for all dairy technologists, microbiologists, and biotechnologists in the academic and industrial sectors. Topics covered include phylogenetics, taxonomy, comparative genomics, functional genomics, the intestinal microflora, surface proteins, stress responses, interaction with the immune system, probiotics, anti-cancer potential, and much more. This is essential reading for all scientists involved with lactic acid bacteria or probiotic research and is recommended for all microbiology laboratories.

This book introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening. TS-QPI is able to capture quantitative optical phase and intensity images simultaneously, enabling high-content cell analysis, cancer diagnostics, personalized genomics, and drug development. The authors also demonstrate a complete machine learning pipeline that performs optical phase measurement, image processing, feature extraction, and classification, enabling high-throughput quantitative imaging that achieves record high accuracy in label -free cellular phenotypic screening and opens up a new path to data-driven diagnosis.

This book discusses a broad range of basic and advanced topics in the field of protein structure, function, folding, flexibility, and dynamics. Starting with a basic introduction to protein purification, estimation, storage, and its effect on the protein structure, function, and dynamics, it also discusses various experimental and computational structure determination approaches; the importance of molecular interactions and water in protein stability, folding and dynamics; kinetic and thermodynamic parameters associated with protein-ligand binding; single molecule techniques and their applications in studying protein folding and aggregation; protein quality control; the role of amino acid sequence in protein aggregation; muscarinic acetylcholine receptors, antimuscarinic drugs, and their clinical significances. Further, the book explains the current understanding on the therapeutic importance of the enzyme dopamine beta hydroxylase; structural dynamics and motions in molecular motors; role of cathepsins in controlling degradation of extracellular matrix during disease states; and the important structure-function relationship of iron-binding proteins, ferritins. Overall, the book is an important guide and a comprehensive resource for understanding protein structure, function, dynamics, and interaction.

Biological nitrogen fixation (BNF) - the conversion of molecular nitrogen into ammonia - is one of the most important reactions in ecology and agriculture. It is performed exclusively by microbes (prokaryotes) that live in symbiosis with plants. This book summarizes the latest research on this reaction, the participating microbes and the genetics of how their relevant genes could be transferred into the plants. In the light of a more sustainable and less ecologically damaging agriculture, this is becoming an increasingly pressing issue.

In DNA Electrophoresis: Methods and Protocols, expert researchers in the field detail many of the methods which are now commonly used to study DNA using electrophoresis as the major approach. A powerful tool that allows separating DNA molecules according to their size and shape, this volume includes methods and techniques such as 2-dimentional gel electrophoresis as the major approach. These include methods and techniques such as 2-dimentional gel electrophoresis, DNA electrophoresis under conditions in which DNA molecules are completely or partially denatured during the runs, Pulse Field Gel Electrophoresis, electrophoresis coupled to fluorescence in situ hybridization, as well as protein-DNA interactions studied using electrophoreses. Written in the highly 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 laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, DNA Electrophoresis: Methods and Protocols aids scientists in continuing to study DNA dynamics both in live cells and in test tubes.

With the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts in the field highlight the current status, challenges, open problems, and future trends for developing bioinformatics tools and resources for comparative proteomics research in order to deliver a definitive reference providing both the breadth and depth needed on the subject. Structured in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the systems biology context. Written for the highly successful Methods in Molecular Biology(TM) series, the contributions in this book provide the meticulous, step-by-step description and implementation advice that is crucial for getting optimal results in the lab. Comprehensive and easy-to-use, Bioinformatics for Comparative Proteomics serves all readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods and future trends in proteomics data analysis, and comparative proteomics in systems biology.

This book focuses primarily on the role of interfacial forces in understanding biological phenomena at the molecular scale. By providing a suitable statistical mechanical apparatus to handle the biomolecular interface, the book becomes uniquely positioned to address core problems in molecular biophysics. It highlights the importance of interfacial tension in delineating a solution to the protein folding problem, in unravelling the physico-chemical basis of enzyme catalysis and protein associations, and in rationally designing molecular targeted therapies. Thus grounded in fundamental science, the book develops a powerful technological platform for drug discovery, while it is set to inspire scientists at any level in their careers determined to address the major challenges in molecular biophysics. The acknowledgment of how exquisitely the structure and dynamics of proteins and their aqueous environment are related attests to the overdue recognition that biomolecular phenomena cannot be effectively understood without dealing with interfacial behaviour. There is an urge to grasp how biologically relevant behaviour is shaped by the structuring of biomolecular interfaces and how interfacial tension affects the molecular events that take place in the cell. This book squarely addresses these needs from a physicist perspective. The book may serve as a monograph for practitioners and, alternatively, as an advanced textbook. Fruitful reading requires a background in physical chemistry and some basics in biophysics. The selected problems at the end of the chapters and the progression in conceptual difficulty make it a suitable textbook for a graduate level course or an elective course for seniors majoring in chemistry, physics, biomedical engineering or related disciplines.

Molecular biology operates at three levels - genes, proteins and metabolites. This book is unique in that it provides a comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies (genomics and proteomics). These "omics" methods form the basis for understanding biology at a systems level.
The Handbook of Metabonomics and Metabolomics aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification, encompassing the fields of metabonomics and metabolomics. It covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications.
* comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies
* aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification
* covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications.

Interplay between Metal Ions and Nucleic Acids provides in an authoritative and timely manner in 12 stimulating chapters, written by 24 internationally recognized experts from 8 nations, and supported by nearly 1500 references, about 20 tables, and 125 illustrations, many in color, a most up-to-date view on metal ion-nucleic acid interactions; the characterization of which is covered in solution and in the solid state. The volume concentrates on modern developments encompassing topics in the wide range from G-quadruplexes via DNAzymes, catalysis at the DNA scaffold, and metal-mediated base pairs to peptide nucleic acids (PNAs) being thus of relevance, e.g., for chemistry and nanotechnology but also for molecular biology and (genetic) diagnostics.

International Review of Cytology presents current advances and comprehensive reviews in cell biology both plant and animal. Authored by some of the foremost scientists in the field, each volume provides up-to-date information and directions for future research. Articles in this volume address Multifunctional Arm Repeat Domains in Plants; Bacterial Cell Division: The Mechanism and its Precision; Plant Prevacuolar/ Endosomal Compartments; Role of Pheripherin/rds in Vertebrate Photoreceptor Architecture and Inherited Retinal Degenerations; Structural and Immunocytochemical Characterization of Keratinization in Vertebrate Epidermis and Epidermal Derivatives.

"In Situ Hybridization Protocols, Fourth Edition "contains 21 protocols that utilize the "in situ" hybridization technology to document or take advantage of the visualization of specific RNA molecules. Written in the highly 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, "In Situ Hybridization Protocols, Fourth Edition "seeks to aid scientists in the further discovery of new RNA species and uncovering of their cellular functions.

Flow cytometry forms an integral part of both basic biological research and clinical diagnosis in pathology. This straightforward new volume provides a clear, easy-to-read, and practical manual for both clinicians and non-clinicians at all levels of their careers.

The chapter topics range from basic principles to more advanced subjects, such as apoptosis and cell sorting. The book charts the history, development and basic principles of flow cytometry.

Thisbookisintendedformolecularbiologistswhoperformquantitativeanalysesondata emanatingfromtheir?eldandforthestatisticianswhoworkwithmolecularbiologists andotherbiomedicalresearchers. Therearemanyexcellenttextbooksthatprovidefun- mentalcomponentsforstatisticaltrainingcurricula. Therearealsomany"byexpertsfor experts"booksinstatisticsandmolecularbiologywhichrequirein-depthknowledgein bothsubjectstobetakenfulladvantageof. Sofar,nobookinstatisticshasbeenpublished thatprovidesthebasicprinciplesofproperstatisticalanalysesandprogressestoamore advancedstatisticsinresponsetorapidlydevelopingtechnologiesandmethodologiesin the?eldofmolecularbiology. Respondingtothissituation,ourbookaimsatbridgingthegapbetweenthesetwo extremes. Molecularbiologistswillbene?tfromtheprogressivestyleofthebookwhere basicstatisticalmethodsareintroducedandgraduallyelevatedtoanintermediatelevel. Similarly,statisticianswillbene?tfromlearningthevariousbiologicaldatageneratedfrom the?eldofmolecularbiology,thetypesofquestionsofinteresttomolecularbiologists, andthestatisticalapproachestoanalyzingthedata. Thestatisticalconceptsandmethods relevanttostudiesinmolecularbiologyarepresentedinasimpleandpracticalmanner. Speci?cally,thebookcoversbasicandintermediatestatisticsthatareusefulforclassical and molecular biology settings and advanced statistical techniques that can be used to helpsolveproblemscommonlyencounteredinmodernmolecularbiologystudies,such assupervisedandunsupervisedlearning,hiddenMarkovmodels,manipulationandan- ysisofdatafromhigh-throughputmicroarrayandproteomicplatform,andsynthesisof these evidences. A tutorial-type format is used to maximize learning in some chapters. Advicefromjournaleditorsonpeer-reviewedpublicationandsomeusefulinformationon softwareimplementationarealsoprovided. Thisbookisrecommendedforuseassupplementarymaterialbothinsideandoutside classroomsorasaself-learningguideforstudents,scientists,andresearcherswhodealwith numericdatainmolecularbiologyandrelated?elds. Thosewhostartasbeginners,but desiretobeatanintermediatelevel,will?ndthisbookespeciallyusefulintheirlearning pathway. WewanttothankJohnWalker(serieseditor),PatrickMarton,DavidCasey,andAnne Meagher,(editorsatSpringerandHumana)andShanthyJaganathan(Integra-India). The followingpersonsprovidedusefuladviceandcommentsonselectionoftopics,referralto expertsineachtopic,and/orchapterreviewsthatwetrulyappreciate:StephenLooney(a former editor of this book), Stan Young, Dmitri Zaykin, Douglas Hawkins, Wei Pan, Alexandre Almeida, John Ho, Rebecca Doerge, Paula Trushin, Kevin Morgan, Jason Osborne,PeterWestfall,JennyXiang,Ya-linChiu,YolandaBarron,HuiboShao,Alvin Mushlin,andRonaldFanta. Drs. Bang,Zhou,andMazumdarwerepartiallysupported byClinicalTranslationalScienceCenter(CTSC)grant(UL1-RR024996). HeejungBang vii Contents Preface...vii Contributors...xi PARTIBASICSTATISTICS...1 1. ExperimentalStatisticsforBiologicalSciences...3 HeejungBangandMarieDavidian 2. NonparametricMethodsforMolecularBiology...105 KnutM. WittkowskiandTingtingSong 3. BasicsofBayesianMethods...155 SujitK. Ghosh 4. TheBayesiant-TestandBeyond ...179 MithatGonen PARTII DESIGNSANDMETHODSFORMOLECULARBIOLOGY...201 5. SampleSizeandPowerCalculationforMolecularBiologyStudies...203 Sin-HoJung 6. DesignsforLinkageAnalysisandAssociationStudiesofComplexDiseases...219 YuehuaCui,GengxinLi,ShaoyuLi,andRonglingWu 7. IntroductiontoEpigenomicsandEpigenome-WideAnalysis...243 MelissaJ. FazzariandJohnM. Greally 8. Exploration,Visualization,andPreprocessingofHigh-DimensionalData...267 ZhijinWuandZhiqiangWu PARTIII STATISTICALMETHODSFORMICROARRAYDATA ...285 9. IntroductiontotheStatisticalAnalysisofTwo-ColorMicroarrayData...287 MartinaBremer,EdwardHimelblau,andAndreasMadlung 10. BuildingNetworkswithMicroarrayData...315 BradleyM. Broom,WareeRinsurongkawong,LajosPusztai, andKim-AnhDo PARTIV ADVANCEDORSPECIALIZEDMETHODSFORMOLECULARBIOLOGY. . 345 11. SupportVectorMachinesforClassi?cation:AStatisticalPortrait...347 YoonkyungLee 12. AnOverviewofClusteringAppliedtoMolecularBiology ...369 RebeccaNugentandMarinaMeila ix xContents 13. HiddenMarkovModelandItsApplicationsinMotifFindings...405 JingWuandJunXie 14. DimensionReductionforHigh-DimensionalData...417 LexinLi 15. IntroductiontotheDevelopmentandValidationofPredictiveBiomarker ModelsfromHigh-ThroughputDataSets ...435 XutaoDengandFabienCampagne 16. Multi-geneExpression-basedStatisticalApproachestoPredicting Patients'ClinicalOutcomesandResponses...471 FengCheng,Sang-HoonCho,andJaeK. Lee 17. Two-StageTestingStrategiesforGenome-WideAssociationStudies inFamily-BasedDesigns ...485 AmyMurphy,ScottT. Weiss,andChristophLange 18. StatisticalMethodsforProteomics ...497 KlausJung PARTVMETA-ANALYSISFORHIGH-DIMENSIONALDATA ...509 19. StatisticalMethodsforIntegratingMultipleTypesofHigh-ThroughputData. . 511 YangXieandChulAhn 20. ABayesianHierarchicalModelforHigh-DimensionalMeta-analysis...531 FeiLiu 21. MethodsforCombiningMultipleGenome-WideLinkageStudies...541 TreciaA. KippolaandStephanieA. Santorico PARTVI OTHERPRACTICALINFORMATION ...561 22. ImprovedReportingofStatisticalDesignandAnalysis:Guidelines, Education,andEditorialPolicies...5 63 MadhuMazumdar,SampritBanerjee,andHeatherL. VanEpps 23. StataCompanion...599 JenniferSousaBrennan SubjectIndex...627 Contributors CHULAHN* Division of Biostatistics, Department of Clinical Sciences, The Harold C.