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Relevant bibliographies by topics / Genomics; DNA sequencing; Bioinformatics / Books

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Books on the topic 'Genomics; DNA sequencing; Bioinformatics'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Consult the top 38 books for your research on the topic 'Genomics; DNA sequencing; Bioinformatics.'

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1

Bioinformatics: Genomics and post-genomics. John Wiley & Sons, 2006.

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2

Rodríguez-Ezpeleta, Naiara, Michael Hackenberg, and Ana M. Aransay. Bioinformatics for high throughput sequencing. Springer, 2012.

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3

Alphey, Luke. DNA sequencing from experimental methods to bioinformatics. Springer, 1997.

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4

Campbell, A. Malcolm. Discovering genomics, proteomics, and bioinformatics. 2nd ed. CSHL Press, 2007.

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5

J, Heyer Laurie, ed. Discovering genomics, proteomics, and bioinformatics. 2nd ed. CSHL Press, 2007.

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6

Kahl, Günter, and Matthias Harbers. Tag-based next generation sequencing. Wiley-Blackwell, 2012.

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7

Janitz, Michal. Next-generation genome sequencing: Towards personalized medicine. Wiley-VCH, 2008.

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8

T, Kho Alvin, and Butte Atul J, eds. Microarrays for an integrative genomics. MIT Press, 2003.

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9

Majoros, William H. Methods for computational gene prediction. Cambridge University Press, 2007.

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10

Methods for computational gene prediction. Cambridge University Press, 2007.

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11

Next-Generation DNA Sequencing Informatics. Cold Spring Harbor Laboratory Press, 2015.

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12

Panosyan, Hovik. Molecular bacteriology laboratory works. YSU Publishing House, 2020. http://dx.doi.org/10.46991/ysuph/9785808424623.

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The training manual includes information about total nucleic acids (DNA and RNA) from pure soil water samples, genomic RNA and plasmid DNA separation from pure bacterial cultures, quantitative DNA testing, quantitative phylogenetic testing. Methods of cloning, sequencing, bioinformatics analysis of the obtained sequences are presented. The manual includes brief theoretical information covering the topic, laboratory works, as well as tasks for their implementation. This unique manual of molecular microbiology laboratory works in Armenian language is intended for students, PhD students specializ

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13

Next-generation DNA sequencing informatics. Cold Spring Harbor Laboratory, 2013.

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14

Rodríguez-Ezpeleta, Naiara, Ana M. Aransay, and Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2014.

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15

Dardel, Frédéric, and François Képès. Bioinformatics: Genomics and Post-Genomics. Wiley, 2006.

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16

R, Mitchelson Keith, ed. New high throughput technologies for DNA sequencing and genomics. Elsevier, 2007.

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17

New High Throughput Technologies for DNA Sequencing and Genomics. Elsevier, 2007. http://dx.doi.org/10.1016/s1871-0069(06)x0200-8.

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18

Bioinformatics. John Wiley & Sons, Ltd., 2007.

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19

Harbers, Matthias, and Guenter Kahl. Tag-Based Next Generation Sequencing. Wiley & Sons, Incorporated, John, 2011.

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20

Next generation sequencing technologies and challenges in sequence assembly. Springer, 2014.

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21

A Primer of Genome Science. Sinauer Associates, 2001.

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22

Next-Generation Genome Sequencing: Towards Personalized Medicine. Wiley & Sons, Limited, John, 2008.

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23

Janitz, Michal. Next-Generation Genome Sequencing: Towards Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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24

Janitz, Michal. Next-Generation Genome Sequencing: Towards Personalized Medicine. Wiley & Sons, Incorporated, John, 2011.

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25

Janitz, Michal. Next-Generation Genome Sequencing: Towards Personalized Medicine. Wiley & Sons, Incorporated, John, 2008.

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26

Mitchelson, Keith. New High Throughput Technologies for DNA Sequencing and Genomics, Volume 2 (Perspectives in Bioanalysis) (Perspectives in Bioanalysis). Elsevier Science, 2007.

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27

(Editor), Stephen A. Krawetz, and David D. Womble (Editor), eds. Introduction to Bioinformatics: A Theoretical and Practical Approach. Humana Press, 2003.

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28

Divan, Aysha, and Janice A. Royds. 2. DNA. Oxford University Press, 2016. http://dx.doi.org/10.1093/actrade/9780198723882.003.0002.

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Another significant milestone was the publication in 2003 of the complete sequence of the human genome—the entire DNA contained within the forty-six chromosomes located in the nucleus of each human somatic (body) cell. Once this was published, further worldwide projects were launched to work out what the functions of these genes and other regions of the genome actually were. ‘DNA’ outlines the components of the human genome and their organization; DNA replication; mutations and correction mechanisms; polymorphisms; and new DNA technologies, including gene cloning, the polymerase chain reaction

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29

Munro, Carol A., and Duncan Wilson. Fungal genomics and transcriptomics. Edited by Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum, and Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0006.

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The advent of whole-genome sequencing has resulted in a range of platforms for large-scale analysis of the DNA (genomics), RNA (transcriptomics), protein (proteomics), and metabolite (metabolomics) content of cells. These inclusive ‘omics’ approaches have allowed for unparalleled insights into fungal biology. In this chapter we will discuss how genomics and transcriptomics have been used to broaden our understanding of the biology of human pathogenic fungi and their interactions with their hosts.

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30

Campbell, A. Malcolm, and Laurie J. Heyer. Discovering Genomics, Proteomics and Bioinformatics (2nd Edition) (The Genetics Place Series). 2nd ed. Benjamin Cummings, 2006.

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31

Slack, Jonathan. 2. Genes as DNA. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199676507.003.0002.

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After 1944, a remarkable set of discoveries established the overall shape of modern molecular biology and most famous of all was the discovery of the three dimensional structure of DNA: the famous double helix, which explained how the substance could act as the genetic material. ‘Genes as DNA’ describes the complex structure of genes and explains the terms ‘genome’ and ‘genomics’. In the 1980s and 1990s the complex mechanisms by which genes control embryonic development were discovered. The complete sequencing of a typical human genome was started in the late 1990s and achieved in 2003. It sho

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32

A, Krawetz Stephen, and Womble David D, eds. Introduction to bioinformatics: A theoretical and practical approach. Humana Press, 2003.

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33

(Editor), Stephen A. Krawetz, and David D. Womble (Editor), eds. Introduction to Bioinformatics: A Theoretical and Practical Approach. Humana Press, 2003.

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34

Hartl, Daniel L. A Primer of Population Genetics and Genomics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862291.001.0001.

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A Primer of Population Genetics and Genomics, 4th edition, has been completely revised and updated to provide a concise but comprehensive introduction to the basic concepts of population genetics and genomics. Recent textbooks have tended to focus on such specialized topics as the coalescent, molecular evolution, human population genetics, or genomics. This primer bucks that trend by encouraging a broader familiarity with, and understanding of, population genetics and genomics as a whole. The overview ranges from mating systems through the causes of evolution, molecular population genetics, an

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35

(Editor), Sepp Hochreiter, and Roland Wagner (Editor), eds. Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings (Lecture Notes in Computer Science). Springer, 2007.

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36

Maher, Christopher J., and Elaine R. Mardis. Genomic Landscape of Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0004.

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The study of cancer genomics has advanced rapidly during the last decade due to the development of next generation or massively parallel technology for DNA sequencing. The resulting knowledge is transforming the understanding of both inherited (germline) genetic susceptibility and the somatic changes in tumor tissue that drive abnormal growth and progression. The somatic alterations in tumor tissue vary depending on the type of cancer and its characteristic “genomic landscape.” New technologies have increased the speed and lowered the cost of DNA sequencing and have enabled high-volume charact

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37

Majoros, William H. Methods for Computational Gene Prediction. Cambridge University Press, 2007.

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38

Majoros, William H. Methods for Computational Gene Prediction. Cambridge University Press, 2007.

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