Integration And Visualization Of Gene Selection And Gene Regulatory Networks For Cancer Genome

If you want to download Integration And Visualization Of Gene Selection And Gene Regulatory Networks For Cancer Genome book in PDF, ePub and kindle or read online directly from your devices, click Download button to get Integration And Visualization Of Gene Selection And Gene Regulatory Networks For Cancer Genome book now. This site is like a library, Use search box in the widget to get ebook that you want.

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
  • Author : Shruti Mishra,Debahuti Mishra,Sandeep Kumar Satapathy
  • Publisher : Academic Press
  • Release Date : 2018-05-09
  • Total pages : 200
  • ISBN : 9780128163573
  • File Size : 33,8 Mb
  • Total Download : 962
  • DOWNLOAD BOOK

Download Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome in PDF, Epub, and Kindle

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome helps readers identify and select the specific genes causing oncogenes. The book also addresses the validation of the selected genes using various classification techniques and performance metrics, making it a valuable source for cancer researchers, bioinformaticians, and researchers from diverse fields interested in applying systems biology approaches to their studies. Provides well described techniques for the purpose of gene selection/feature selection for the generation of gene subsets Presents and analyzes three different types of gene selection algorithms: Support Vector Machine-Bayesian T-Test-Recursive Feature Elimination (SVM-BT-RFE), Canonical Correlation Analysis-Trace Ratio (CCA-TR), and Signal-To-Noise Ratio-Trace Ratio (SNRTR) Consolidates fundamental knowledge on gene datasets and current techniques on gene regulatory networks into a single resource

Gene Network Inference

Gene Network Inference
  • Author : Alberto Fuente
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-01-03
  • Total pages : 130
  • ISBN : 9783642451614
  • File Size : 23,7 Mb
  • Total Download : 326
  • DOWNLOAD BOOK

Download Gene Network Inference in PDF, Epub, and Kindle

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Genomic Control Process

Genomic Control Process
  • Author : Isabelle Peter,Eric H. Davidson
  • Publisher : Academic Press
  • Release Date : 2015-01-21
  • Total pages : 460
  • ISBN : 9780124047464
  • File Size : 23,5 Mb
  • Total Download : 335
  • DOWNLOAD BOOK

Download Genomic Control Process in PDF, Epub, and Kindle

Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes. This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes which regulate the structure of animals during development. Covers a vast area of current biological research to produce a genome oriented regulatory bioscience of animal life Places gene regulation, embryonic and postembryonic development, and evolution of the body plan in a unified conceptual framework Provides the conceptual keys to interpret a broad developmental and evolutionary landscape with precise experimental illustrations drawn from contemporary literature Includes a range of material, from developmental phenomenology to quantitative and logic models, from phylogenetics to the molecular biology of gene regulation, from animal models of all kinds to evidence of every relevant type Demonstrates the causal power of system-level understanding of genomic control process Conceptually organizes a constellation of complex and diverse biological phenomena Investigates fundamental developmental control system logic in diverse circumstances and expresses these in conceptual models Explores mechanistic evolutionary processes, illuminating the evolutionary consequences of developmental control systems as they are encoded in the genome

Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics
  • Author : Francisco Azuaje,Joaquin Dopazo
  • Publisher : John Wiley & Sons
  • Release Date : 2005-06-24
  • Total pages : 284
  • ISBN : 9780470094402
  • File Size : 35,5 Mb
  • Total Download : 327
  • DOWNLOAD BOOK

Download Data Analysis and Visualization in Genomics and Proteomics in PDF, Epub, and Kindle

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems

Systems Analytics and Integration of Big Omics Data

Systems Analytics and Integration of Big Omics Data
  • Author : Gary Hardiman
  • Publisher : MDPI
  • Release Date : 2020-04-15
  • Total pages : 202
  • ISBN : 9783039287444
  • File Size : 46,6 Mb
  • Total Download : 876
  • DOWNLOAD BOOK

Download Systems Analytics and Integration of Big Omics Data in PDF, Epub, and Kindle

A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology
  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2018-08-21
  • Total pages : 3284
  • ISBN : 9780128114322
  • File Size : 38,5 Mb
  • Total Download : 694
  • DOWNLOAD BOOK

Download Encyclopedia of Bioinformatics and Computational Biology in PDF, Epub, and Kindle

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Nutrigenomics and Proteomics in Health and Disease

Nutrigenomics and Proteomics in Health and Disease
  • Author : Yoshinori Mine,Kazuo Miyashita,Fereidoon Shahidi
  • Publisher : John Wiley & Sons
  • Release Date : 2009-04-13
  • Total pages : 413
  • ISBN : 0813807174
  • File Size : 19,8 Mb
  • Total Download : 633
  • DOWNLOAD BOOK

Download Nutrigenomics and Proteomics in Health and Disease in PDF, Epub, and Kindle

Part of the Functional Food Science and Technology book series (Series Editor: Fereidoon Shahidi), this book compiles the current science based upon nutrigenomics and proteomics in food and health. Coverage includes many important nutraceuticals (food factors) and their impact on gene interaction and health. Authored by a stellar international team of multidisciplinary researchers, this book acquaints food and nutrition professionals with these new fields of nutrition research and conveys the state of the science to date.

Handbook of Research on Computational Methodologies in Gene Regulatory Networks

Handbook of Research on Computational Methodologies in Gene Regulatory Networks
  • Author : Das, Sanjoy,Caragea, Doina,Welch, Stephen,Hsu, William H.
  • Publisher : IGI Global
  • Release Date : 2009-10-31
  • Total pages : 740
  • ISBN : 9781605666860
  • File Size : 19,8 Mb
  • Total Download : 411
  • DOWNLOAD BOOK

Download Handbook of Research on Computational Methodologies in Gene Regulatory Networks in PDF, Epub, and Kindle

"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.

Machine Learning and Systems Biology in Genomics and Health

Machine Learning and Systems Biology in Genomics and Health
  • Author : Shailza Singh
  • Publisher : Springer Nature
  • Release Date : 2022-02-04
  • Total pages : 239
  • ISBN : 9789811659935
  • File Size : 18,5 Mb
  • Total Download : 656
  • DOWNLOAD BOOK

Download Machine Learning and Systems Biology in Genomics and Health in PDF, Epub, and Kindle

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

Echinoderms

Echinoderms
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2019-04-02
  • Total pages : 550
  • ISBN : 9780128170731
  • File Size : 16,9 Mb
  • Total Download : 960
  • DOWNLOAD BOOK

Download Echinoderms in PDF, Epub, and Kindle

Echinoderms, Volume 151, the latest release in the Methods in Cell Biology series, highlights advances in the field, with this update presenting chapters on Echinoderm Genome Databases, analysis of gene regulatory networks, using ATAC-seq and RNA-seq to increase resolution in GRN connectivity, multiplex cis-regulatory analysis, experimental approaches GRN/signal pathways, BACs, analysis of chromatin accessibility using ATAC-seq, analysis of sea urchin proteins /Click IT, CRISPR/Cas9-mediated genome editing in sea urchins, super-resolution and in toto imaging of echinoderm embryos, and methods for analysis of intracellular ion signals in sperm, eggs and embryos. Presents clear, concise protocols provided by experts who have established the echinoderms as a model systems Highlights new advances in the field, with this update presenting interesting chapters on echinoderms

Comprehensive Foodomics

Comprehensive Foodomics
  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2020-11-12
  • Total pages : 2330
  • ISBN : 9780128163962
  • File Size : 18,5 Mb
  • Total Download : 659
  • DOWNLOAD BOOK

Download Comprehensive Foodomics in PDF, Epub, and Kindle

Comprehensive Foodomics offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics and related technologies, including the latest advances and applications. By bringing all this information together in an easily navigable reference, food scientists and nutritionists in both academia and industry will find it the perfect, modern day compendium for frequent reference. List of sections and Section Editors: Genomics - Olivia McAuliffe, Dept of Food Biosciences, Moorepark, Fermoy, Co. Cork, Ireland Epigenetics & Noncoding RNA - Juan Cui, Department of Computer Science & Engineering, University of Nebraska-Lincoln, Lincoln, NE Transcriptomics - Robert Henry, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia Proteomics - Jens Brockmeyer, Institute of Biochemistry and Technical Biochemistry, University Stuttgart, Germany Metabolomics - Philippe Schmitt-Kopplin, Research Unit Analytical BioGeoChemistry, Neuherberg, Germany Omics data treatment, System Biology and Foodomics - Carlos Leon Canseco, Visiting Professor, Biomedical Engineering, Universidad Carlos III de Madrid Green Foodomics - Elena Ibanez, Foodomics Lab, CIAL, CSIC, Madrid, Spain Food safety and Foodomics - Djuro Josić, Professor Medicine (Research) Warren Alpert Medical School, Brown University, Providence, RI, USA & Sandra Kraljević Pavelić, University of Rijeka, Department of Biotechnology, Rijeka, Croatia Food Quality, Traceability and Foodomics - Daniel Cozzolino, Centre for Nutrition and Food Sciences, The University of Queensland, Queensland, Australia Food Bioactivity, Health and Foodomics - Miguel Herrero, Department of Bioactivity and Food Analysis, Foodomics Lab, CIAL, CSIC, Madrid, Spain Brings all relevant foodomics information together in one place, offering readers a ‘one-stop,’ comprehensive resource for access to a wealth of information Includes articles written by academics and practitioners from various fields and regions Provides an ideal resource for students, researchers and professionals who need to find relevant information quickly and easily Includes content from high quality authors from across the globe

Handbook of Systems Biology

Handbook of Systems Biology
  • Author : Marian Walhout,Marc Vidal,Job Dekker
  • Publisher : Academic Press
  • Release Date : 2012-12-31
  • Total pages : 552
  • ISBN : 9780123859457
  • File Size : 49,7 Mb
  • Total Download : 513
  • DOWNLOAD BOOK

Download Handbook of Systems Biology in PDF, Epub, and Kindle

This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics. 2013 Honorable Mention for Single Volume Reference in Science from the Association of American Publishers' PROSE Awards Emphasizes the interdisciplinary nature of systems biology with contributions from leaders in a variety of disciplines Includes the latest research developments in human and animal models to assist with translational research Presents biological and computational aspects of the science side-by-side to facilitate collaboration between computational and biological researchers

Computational Genomics with R

Computational Genomics with R
  • Author : Altuna Akalin
  • Publisher : CRC Press
  • Release Date : 2020-12-16
  • Total pages : 462
  • ISBN : 9781498781862
  • File Size : 31,8 Mb
  • Total Download : 727
  • DOWNLOAD BOOK

Download Computational Genomics with R in PDF, Epub, and Kindle

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.

Genomic Signal Processing

Genomic Signal Processing
  • Author : Ilya Shmulevich,Edward R. Dougherty
  • Publisher : Princeton University Press
  • Release Date : 2014-09-08
  • Total pages : 288
  • ISBN : 9781400865260
  • File Size : 28,6 Mb
  • Total Download : 183
  • DOWNLOAD BOOK

Download Genomic Signal Processing in PDF, Epub, and Kindle

Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.

Index Medicus

Index Medicus
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2003
  • Total pages : 2084
  • ISBN : OSU:32436011091459
  • File Size : 36,6 Mb
  • Total Download : 932
  • DOWNLOAD BOOK

Download Index Medicus in PDF, Epub, and Kindle

PDF book entitled Index Medicus written by Anonim and published by Unknown which was released on 2003 with total hardcover pages 2084, the book become popular and critical acclaim.

Genomic Signal Processing and Statistics

Genomic Signal Processing and Statistics
  • Author : Edward R. Dougherty,Ilya Shmulevich
  • Publisher : Hindawi Publishing Corporation
  • Release Date : 2005
  • Total pages : 456
  • ISBN : 9789775945075
  • File Size : 39,9 Mb
  • Total Download : 626
  • DOWNLOAD BOOK

Download Genomic Signal Processing and Statistics in PDF, Epub, and Kindle

Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.

Systems Biology of Cancer

Systems Biology of Cancer
  • Author : Sam Thiagalingam
  • Publisher : Cambridge University Press
  • Release Date : 2015-04-09
  • Total pages : 597
  • ISBN : 9780521493390
  • File Size : 55,8 Mb
  • Total Download : 233
  • DOWNLOAD BOOK

Download Systems Biology of Cancer in PDF, Epub, and Kindle

An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Computational Intelligence in Oncology

Computational Intelligence in Oncology
  • Author : Khalid Raza
  • Publisher : Springer Nature
  • Release Date : 2022
  • Total pages : 474
  • ISBN : 9789811692215
  • File Size : 19,5 Mb
  • Total Download : 606
  • DOWNLOAD BOOK

Download Computational Intelligence in Oncology in PDF, Epub, and Kindle

This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHOs recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Bioinformatics of Genome Regulation, Volume II

Bioinformatics of Genome Regulation, Volume II
  • Author : Yuriy L. Orlov,Ancha Baranova,Tatiana V. Tatarinova,Anastasia A. Anashkina
  • Publisher : Frontiers Media SA
  • Release Date : 2022-01-27
  • Total pages : 203
  • ISBN : 9782889741779
  • File Size : 24,8 Mb
  • Total Download : 640
  • DOWNLOAD BOOK

Download Bioinformatics of Genome Regulation, Volume II in PDF, Epub, and Kindle

PDF book entitled Bioinformatics of Genome Regulation, Volume II written by Yuriy L. Orlov,Ancha Baranova,Tatiana V. Tatarinova,Anastasia A. Anashkina and published by Frontiers Media SA which was released on 2022-01-27 with total hardcover pages 203, the book become popular and critical acclaim.

Multi-omic Data Integration in Oncology

Multi-omic Data Integration in Oncology
  • Author : Chiara Romualdi,Enrica Calura,Davide Risso,Sampsa Hautaniemi,Francesca Finotello
  • Publisher : Frontiers Media SA
  • Release Date : 2020-12-03
  • Total pages : 187
  • ISBN : 9782889661510
  • File Size : 22,5 Mb
  • Total Download : 723
  • DOWNLOAD BOOK

Download Multi-omic Data Integration in Oncology in PDF, Epub, and Kindle

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Genetic Regulation of Meat Quality Traits in Livestock Species

Genetic Regulation of Meat Quality Traits in Livestock Species
  • Author : Rajwali Khan,Anning Li,Sayed Haidar Abbas Raza
  • Publisher : Frontiers Media SA
  • Release Date : 2023-02-01
  • Total pages : 136
  • ISBN : 9782832513309
  • File Size : 52,7 Mb
  • Total Download : 465
  • DOWNLOAD BOOK

Download Genetic Regulation of Meat Quality Traits in Livestock Species in PDF, Epub, and Kindle

PDF book entitled Genetic Regulation of Meat Quality Traits in Livestock Species written by Rajwali Khan,Anning Li,Sayed Haidar Abbas Raza and published by Frontiers Media SA which was released on 2023-02-01 with total hardcover pages 136, the book become popular and critical acclaim.