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Books on the topic 'RNA Sequence Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Peter, Bugert, ed. DNA and RNA profiling in human blood: Methods and protocols. New York, NY: Humana Press, 2009.

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2

author, Tuimala Jarno, Somervuo Panu author, Huss Mikael author, and Wong Garry author, eds. RNA-seq data analysis: A practical approach. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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3

Przykorska, Anna. Analiza przestrzennej struktury kwasów rybonukleinowych za pomocą nukleaz pochodzenia roślinnego. Warszawa: Fundacja, Rozwój SGGW, 1996.

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4

J, Howe C., and Ward E. S, eds. Nucleic acids sequencing: A practical approach. Oxford: IRL Press, 1989.

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5

Rederstorff, Mathieu. Small non-coding RNAs: Methods and protocols. New York: Humana Press, 2015.

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6

Warwick, Simon. Analysis of ribosmal RNA sequence from actinomcyetes and production of probes for commercially important strains. London: University of East London, 1996.

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7

Scholin, Christopher Alan. Analysis of toxic and non-toxic Alexandrium (Dinophyceae) species using ribosomal RNA gene sequences. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1993.

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8

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

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9

1949-, Müller S. C., ed. Synthetic peptides as antigens. Amsterdam: Elsevier, 1999.

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10

Bioinformatics. New York: John Wiley & Sons, Ltd., 2007.

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11

Kepes, Francois, Frederic Dardel, and Fran S. Bioinformatics. Wiley & Sons, Incorporated, John, 2007.

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12

DNA and RNA Profiling in Human Blood: Methods and Protocols. Humana Press, 2008.

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13

Rna 3d Structure Analysis And Prediction. Springer, 2012.

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14

RNA sequence, structure, and function: Computational and bioinformatic methods. New York: Humana Press, 2014.

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15

Gorodkin, Jan, and Walter L. Ruzzo. RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods. Humana Press, 2016.

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16

Tuimala, Jarno, Eija Korpelainen, Panu Somervuo, Mikael Huss, and Garry Wong. RNA-Seq Data Analysis: A Practical Approach. Taylor & Francis Group, 2014.

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17

Tuimala, Jarno, Eija Korpelainen, Panu Somervuo, Mikael Huss, and Garry Wong. RNA-Seq Data Analysis: A Practical Approach. Taylor & Francis Group, 2014.

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18

Tuimala, Jarno, Eija Korpelainen, Panu Somervuo, Mikael Huss, and Garry Wong. RNA-Seq Data Analysis: A Practical Approach. Taylor & Francis Group, 2014.

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19

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

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20

Rna Abundance Analysis Methods And Protocols. Humana Press Inc., 2012.

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21

Bioinformatics: Sequence & Genome Analysis. S. l: Cold Spring Harbor Laboratory Press, 2001.

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22

Bioinformatics: Sequence and Genome Analysis. 2nd ed. Cold Spring Harbor Laboratory Press, 2004.

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23

Morry, Mary J. The isolation, sequence analysis and transcription of mouse histidine tRNA genes. 1985.

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24

Mount, David W. Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, 2001.

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25

Mount, David W. Bioinformatics: Sequence and Genome Analysis. Cold Spring Harbor Laboratory Press, 2001.

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26

(Editor), C. J. Howe, and E. S. Ward (Editor), eds. Nucleic Acids Sequencing: A Practical Approach (The Practical Approach Series). Oxford University Press, USA, 1990.

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27

(Editor), C. J. Howe, and E. S. Ward (Editor), eds. Nucleic Acids Sequencing: A Practical Approach (Practical Approach Series). Oxford University Press, USA, 1990.

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28

Murkowski, Ann J. Nuclear ribosomal RNA genes and spacers in nine kelps (Phaeophyta : laminariales): Sequence variability and phylogenetic analysis. 1996.

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29

Next Generation Sequencing Data Analysis. Taylor & Francis Group, 2016.

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30

Wang, Xinkun. Next-Generation Sequencing Data Analysis. Taylor & Francis Group, 2016.

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31

Next Generation Sequencing Data Analysis. Taylor & Francis Group, 2023.

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32

Rederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer, 2022.

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33

Rederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer New York, 2016.

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34

Rederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer, 2021.

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35

Machida, Curtis A. Adrenergic Receptor Protocols. Humana Press, 2013.

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36

Pardee, Arthur B., Peng Liang, and Jonathan Meade. Differential Display Methods and Protocols. Humana Press, 2010.

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37

(Editor), Peng Liang, Jonathan Meade (Editor), and Arthur B. Pardee (Editor), eds. Differential Display Methods and Protocols (Methods in Molecular Biology). 2nd ed. Humana Press, 2005.

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38

Bioinformatics: The impact of accurate quantification on proteomic and genetic analysis and research. Toronto: Apple Academic Press, 2014.

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39

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 specialized in the field of Biology.

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40

Wang, Jason T. L., Bruce A. Shapiro, and Dennis Shasha, eds. Pattern Discovery in Biomolecular Data. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195119404.001.0001.

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Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

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41

Abdennadher, Mourad. Molecular fingerprinting, rDNA internal transcribed spacer sequence, and karyotype analysis of Ustilago hordei and related smut fungi. 1995.

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42

MICROARRAY BIOINFORMATICS. CAMBRIDGE: CAMBRIDGE UNIV PRESS, 2003.

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43

Ribosomal and small RNA sequences ; Analysis of histone genes ; Codon usage: A supplement to Nucleic acids research, volume 14, 1986. Oxford [Oxfordshire]: IRL Press, 1986.

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44

Gorbalenya, A., and E. Koonin. Comparative Analysis of Amino-Acid Sequences of Key Enzymes of Replication and Expression of Positive-strand RNA Viruses: Validity of Approach and Functional and Evolutionary Implications (Soviet Scientific Reviews Series, Section D). Routledge, 1993.

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45

Grant, Warren, and Martin Scott-Brown. Principles of oncogenesis. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0322.

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It is obvious that the process of developing cancer—oncogenesis—is a multistep process. We know that smoking, obesity, and a family history are strong independent predictors of developing malignancy; yet, in clinics, we often see that some heavy smokers live into their nineties and that some people with close relatives affected by cancer spend many years worrying about a disease that, in the end, they never contract. For many centuries scientists have struggled to understand the process that make cancer cells different from normal cells. There were those in ancient times who believed that tumours were attributable to acts of the gods. Hippocrates suggested that cancer resulted from an imbalance between the black humour that came from the spleen, and the other three humours: blood, phlegm, and bile. It is only in the last 100 years that biologists have been able to characterize some of the pathways that lead to the uncontrolled replication seen in cancer, and subsequently examine exactly how these pathways evolve. The rampant nature by which cancer invades local and distant tissues, as well its apparent ability to spread between related individuals led some, such as Peyton Rous in 1910, to suggest that cancer was an infectious condition. He was awarded a Nobel Prize in 1966 for the 50 years of work into investigating a link between sarcoma in chickens and a retrovirus that became known as Rous sarcoma virus. He had shown how retroviruses are able to integrate sequences of DNA coding for errors in cellular replication control (oncogenes) by introducing into the human cell viral RNA together with a reverse transcriptase. Viruses are now implicated in many cancers, and in countries where viruses such as HIV and EBV are endemic, the high incidence of malignancies such as Kaposi’s sarcoma and Burkitt’s lymphoma is likely to be directly related. There are several families of viruses associated with cancer, broadly classed into DNA viruses, which mutate human genes using their own DNA, and retroviruses, like Rous sarcoma virus, which insert viral RNA into the cell, where it is then transcribed into genes. This link with viruses has not only led to an understanding that cancer originates from genetic mutations, but has also become a key focus in the design of new anticancer therapies. Traditional chemotherapies either alter DNA structure (as with cisplatin) or inhibit production of its component parts (as with 5-fluorouracil.) These broad-spectrum agents have many and varied side effects, largely due to their non-specific activity on replicating DNA throughout the body, not just in tumour cells. New vaccine therapies utilizing gene-coding viruses aim to restore deficient biological pathways or inhibit mutated ones specific to tumour cells. The hope is that these gene therapies will be effective and easily tolerated by patients, but development is currently progressing with caution. In a trial in France of ten children suffering from X-linked severe combined immunodeficiency and who were injected with a vector that coded for the gene product they lacked, two of the children subsequently died from leukaemia. Further analysis confirmed that the DNA from the viral vector had become integrated into an existing, but normally inactive, proto-oncogene, LM02, triggering its conversion into an active oncogene, and the development of life-threatening malignancy. To understand how a tiny change in genetic structure could lead to such tragic consequences, we need to understand the molecular biology of the cell and, in particular, to pay attention to the pathways of growth regulation that are necessary in all mammalian cell populations. Errors in six key regulatory pathways are known as the ‘hallmarks of cancer’ and will be discussed in the rest of this chapter.

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