By Paul G. Higgs
Within the present period of whole genome sequencing, Bioinformatics and Molecular Evolution presents an up to date and accomplished creation to bioinformatics within the context of evolutionary biology.
This obtainable textual content:
- provides a radical exam of series research, organic databases, trend reputation, and purposes to genomics, microarrays, and proteomics
- emphasizes the theoretical and statistical tools utilized in bioinformatics courses in a manner that's obtainable to organic technology students
- places bioinformatics within the context of evolutionary biology, together with inhabitants genetics, molecular evolution, molecular phylogenetics, and their applications
- features end-of-chapter difficulties and self-tests to assist scholars synthesize the fabrics and observe their understanding
- is followed by means of a devoted site - www.blackwellpublishing.com/higgs - containing downloadable sequences, hyperlinks to internet assets, solutions to self-test questions, and all paintings in downloadable layout (artwork additionally to be had to teachers on CD-ROM).
This very important textbook will equip readers with an intensive figuring out of the quantitative equipment utilized in the research of molecular evolution, and should be crucial interpreting for complex undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics classes.
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Extra resources for Bioinformatics and Molecular Evolution
2(a) is a representation of the scaled data matrix zij. Red/green squares indicate that the value is significantly higher/lower than average; dark colors indicate values close to the average. This color scheme makes sense in the context of microarrays, as we shall see in Chapter 13. We have named the clusters above according to what seemed to be the most important feature linking members of the cluster. The basic cluster contains all the residues that are red on both the pI and polarity scales.
This strand is called the template strand. The polymerase catalyzes the assembly of individual ribonucleotides into an RNA strand that is complementary to the template DNA strand. Base pairing occurs between the template strand and the growing RNA strand initially, but as the polymerase moves along, the RNA separates from the template and the two DNA strands close up again. When the template is a C, G, or T, the base added to RNA is a G, C, or A, as usual. If the template has an A, then a U base is added to the RNA rather than a T.
A long-standing goal of bioinformatics has been to predict protein structure from sequence. Some methods for doing this will be discussed in Chapter 10 on pattern recognition. In this section, we will introduce some of the physico-chemical properties that are thought to be important for determining the way a protein folds. One property that obviously matters for amino acids is size. 1 Polymerase chain reaction (PCR) The object of PCR is to create many copies of a specified sequence of DNA that is initially present in a very small number of copies.
Bioinformatics and Molecular Evolution by Paul G. Higgs