Relevant bibliographies by topics / Genomic classification / Books
To see the other types of publications on this topic, follow the link: Genomic classification.

Books on the topic 'Genomic classification'

Author: Grafiati
Published: 25 May 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 34 books for your research on the topic 'Genomic classification.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Fenaux, Robert. The classification of Appendicularia (Tunicata): History and current state. [Monaco: Institut océanographique], 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Genome clustering: From linguistic models to classification of genetic texts. Berlin: Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Maes, Dominiek, Marina Sibila, and Maria Pieters, eds. Mycoplasmas in swine. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249941.0000.

Full text
Abstract:
Abstract This book contains 14 chapters that discuss the genetics, epidemiology, prevalence, pathogenesis, clinical signs, diagnosis, treatment, prevention and control of Mycoplasma infections in pigs. Chapter 1 discusses the phylogenetics and classification of Mycoplasma species in pigs; Chapter 2 describes the genomic diversity and antigenic variation of Mycoplasma hyopneumoniae strains; Chapter 3 discusses the pathogenesis, virulence factor and pathogenicity of Mycoplasma hyopneumoniae; Chapter 4 discusses the molecular epidemiology, risk factors, transmission and prevalence of Mycoplasma hyopneumoniae, Chapter 5 discusses the clinical signs and gross lesions of Mycoplasma hyopneumoniae infection; Chapter 6 discusses immune responses against Mycoplasma infections; Chapter 7 describes the interactions of Mycoplasma hyopneumoniae with other pathogens and their economic impact; Chapter 8 discusses the diagnosis of Mycoplasma hyopneumoniae infection and its associated diseases; Chapter 9 describes the general control measures against Mycoplasma hyopneumoniae infections; Chapter 10 describes the selection and efficacy of antimicrobials against Mycoplasma hyopneumoniae infections; Chapter 11 discusses the development and efficacy of vaccines against Mycoplasma hyopneumoniae; Chapter 12 describes the eradication of Mycoplasma hyopneumoniae in pig herds; Chapter 13 describes the epidemiology, prevalence, pathogenesis, clinical signs, diagnosis, treatment, prevention and control of Mycoplasma hyorhinis and Mycoplasma hyosynoviae in pig herds and Chapter 14 discusses the epidemiology, prevalence, transmission, pathogenesis, clinical signs, diagnosis, treatment, prevention, control and economic impact of Mycoplasma suis infection in pigs.
APA, Harvard, Vancouver, ISO, and other styles
4

1963-, Feng Zhi, and Long Ming, eds. Viral genomes: Diversity, properties, and parameters. Hauppauge, NY: Nova Science Publishers, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Viruses and the environment. 2nd ed. London ; New York: Chapman and Hall, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

1954-, Heiner Monika, and SpringerLink (Online service), eds. Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

János, Varga, and Samson Robert A, eds. Aspergillus in the genomic era. Wageningen, Netherlands: Wageningen Academic Publishers, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Matsui, Shigeyuki, and Hisashi Noma. Estimation and Selection in High-Dimensional Genomic Studies: Multiple Testing, Gene Ranking, and Classification. Springer, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sherman, Mark E., Melissa A. Troester, Katherine A. Hoadley, and William F. Anderson. Morphological and Molecular Classification of Human Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0003.

Full text
Abstract:
Accurate and reproducible classification of tumors is essential for clinical management, cancer surveillance, and studies of pathogenesis and etiology. Tumor classification has historically been based on the primary anatomic site or organ in which the tumor occurs and on its morphologic and histologic phenotype. While pathologic criteria are useful in predicting the average behavior of a group of tumors, histopathology alone cannot accurately predict the prognosis and treatment response of individual cancers. Traditional measures such as tumor stage and grade do not take into account molecular events that influence tumor aggressiveness or changes in the tumor composition during treatment. This chapter provides a primer on approaches that use pathology and molecular biology to classify and subclassify cancers. It describes the features of carcinomas, sarcomas, and malignant neoplasms of the immune system and blood, as well as various high-throughput genomic platforms that characterize the molecular profile of tumors.
APA, Harvard, Vancouver, ISO, and other styles
10

Bolshoy, Alexander, Zeev Volkovich, and Valery Kirzhner. Genome Clustering: From Linguistic Models to Classification of Genetic Texts. Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
11

Bolshoy, Alexander, Zeev Volkovich, Valery Kirzhner, and Zeev Barzily. Genome Clustering: From Linguistic Models to Classification of Genetic Texts. Springer, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
12

(Editor), R. DeSalle, G. Giribet (Editor), and W. Wheeler (Editor), eds. Molecular Systematics and Evolution: Theory and Practice (Experientia Supplementum). Birkhauser, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
13

Pfeffer, Ulrich. Cancer Genomics: Molecular Classification, Prognosis and Response Prediction. Springer Netherlands, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
14

Pfeffer, Ulrich. Cancer Genomics: Molecular Classification, Prognosis and Response Prediction. Springer, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
15

Pfeffer, Ulrich. Cancer Genomics: Molecular Classification, Prognosis and Response Prediction. Springer London, Limited, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
16

Pfeffer, Ulrich. Cancer Genomics: Molecular Classification, Prognosis and Response Prediction. Springer, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
17

Thun, Michael J., Martha S. Linet, James R. Cerhan, Christopher A. Haiman, and David Schottenfeld. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0001.

Full text
Abstract:
This Introduction provides a broad overview of the scientific advances and crosscutting developments that increasingly influence epidemiologic research on the causes and prevention of cancer. High-throughput technologies have identified the molecular “driver” events in tumor tissue that underlie the multistage development of many types of cancer. These somatic (largely acquired) alterations disrupt normal genetic and epigenetic control over cell maintenance, division and survival. Tumor classification is also changing to reflect the genetic and molecular alterations in tumor tissue, as well as the anatomic, morphologic, and histologic phenotype of the cancer. Genome-wide association studies (GWAS) have identified more than 700 germline (inherited) genetic loci associated with susceptibility to various forms of cancer, although the risk estimates for almost all of these are small to modest and their exact location and function remain to identified. Advances in genomic and other “OMIC” technologies are identifying biomarkers that reflect internal exposures, biological processes and intermediate outcomes in large population studies. While research in many of these areas is still in its infancy, mechanistic and molecular assays are increasingly incorporated into etiologic studies and inferences about causation. Other sections of the book discuss the global public health impact of cancer, the growing list of exposures known to affect cancer risk, the epidemiology of over 30 types of cancer by tissue of origin, and preventive interventions that have dramatically reduced the incidence rates of several major cancers.
APA, Harvard, Vancouver, ISO, and other styles
18

Ellison, Aaron M., and Lubomír Adamec. The future of research with carnivorous plants. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779841.003.0029.

Full text
Abstract:
The material presented in the chapters of Carnivorous Plants: Physiology, Ecology, and Evolution together provide a suite of common themes that could provide a framework for increasing progress in understanding carnivorous plants. All speciose genera would benefit from more robust, intra-generic classifications in a phylogenetic framework that uses a unified species concept. As more genomic, proteomic, and transcriptomic data accrue, new insights will emerge regarding trap biochemistry and regulation; interactions with commensals; and the importance of intraspecific variability on which natural selection works. Continued elaboration of field experiments will provide new insights into basic physiology; population biology; plant-animal and plant-microbe relationships; and evolutionary dynamics, all of which will aid conservation efforts and contribute to discussions of assisted migration as the climate continues to change.
APA, Harvard, Vancouver, ISO, and other styles
19

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199642489.003.0043_update_002.

Full text
Abstract:
Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and large-scale genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now 17 JIA susceptibility loci which reach the genome-wide significance threshold for association and a further 7 regions with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.
APA, Harvard, Vancouver, ISO, and other styles
20

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199642489.003.0043_update_003.

Full text
Abstract:
Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and large-scale genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now 17 JIA susceptibility loci which reach the genome-wide significance threshold for association and a further 7 regions with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.
APA, Harvard, Vancouver, ISO, and other styles
21

Kotzer, Katrina E., and Sarah E. Kerr. Molecular Technologies and Test Issues. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190604929.003.0005.

Full text
Abstract:
Molecular genetic testing has been around since the discovery and offering of clinical testing for the first gene sequenced. However, in recent years the methods and scope of molecular genetic testing have evolved significantly to encompass next-generation sequencing, multigene panels, and whole exome and genome testing. With this evolution in molecular methods, the nomenclature and variant evaluation and annotation processes are crucial for the systematic and standard interpretation of molecular test results. This chapter will provide the laboratory genetic counselor with information about the common sample types analyzed by molecular techniques for the purposes of genetic testing and the various methodologies available and their limitations. Guidelines are given for the standard approach to molecular variant reporting with respect to nomenclature and variant classification.
APA, Harvard, Vancouver, ISO, and other styles
22

Waterton, Claire. Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Taylor & Francis Group, 2017.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
23

Ellis, Rebecca, Claire Waterton, and Brian Wynne. Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Taylor & Francis Group, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
24

Waterton, Claire. Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Taylor & Francis Group, 2017.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
25

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0043.

Full text
Abstract:
Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now an additional 12 JIA susceptibility loci with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.
APA, Harvard, Vancouver, ISO, and other styles
26

Cerhan, James R., Claire M. Vajdic, and John J. Spinelli. The Non-Hodgkin Lymphomas. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0040.

Full text
Abstract:
The non-Hodgkin lymphomas (NHL) are a heterogeneous group of over forty lymphoid neoplasms that have undergone a major redefinition over the last twenty-five years, in part due to advances in immunology and genetics as well as implementation of the WHO classification system. NHLs are considered clonal tumors of B-cells, T-cells, or natural killer (NK) cells arrested at various stages of differentiation, regardless of whether they present in the blood (lymphoid leukemia) or lymphoid tissues (lymphoma). In the United States, the age-standardized NHL incidence rate (per 100,000) doubled from 1973 (10.2) to 2004 (21.4) and then stabilized, while five-year relative survival rates improved from 42% in 1973 to 70% in 2004. Established risk factors for NHL or specific NHL subtypes include infectious agents (HTLV-1, HIV, EBV, HHV8, HCV, H. pylori), immune dysregulation (primary immunodeficiency, transplantation, autoimmunity, and immunosuppressive drugs), family history of lymphoma, and common genetic variants identified by genome-wide association studies.
APA, Harvard, Vancouver, ISO, and other styles
27

Cooper, J. I. Viruses and the Environment. Springer, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
28

Cooper, J. I. Viruses and the Environment. Springer London, Limited, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
29

Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Taylor & Francis Group, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
30

Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Routledge, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
31

Ellis, Rebecca, Claire Waterton, and Brian Wynne. Barcoding Nature: Shifting Cultures of Taxonomy in an Age of Biodiversity Loss. Taylor & Francis Group, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
32

Barcoding Nature. Routledge, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
33

Barcoding Nature. Taylor & Francis Group, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
34

Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012, Proceedings. Springer, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Genomic classification' for other source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography