Biological Bioinformatics
 
Category: Biological Bioinformatics
A biological object can be investigated by means of different experimental methods Each biological process can be described through different (mathematical) models The choice of a mathematical model or an algorithm depends on the problem, the purpose, and the intention of the investigator
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The dependent variable used in the QSAR equations was the logarithm of the induction ratio of L-galactosidase activity for an aromatic compoundrelative, A, to L galactosidase activity for no-e¡ector control, Ao.
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The usefulness and quality of any data resource depends on the accuracy and up to datedness of data in the database. In PuMPE special care is taken to improve annotations and curation of the data.
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Life as we know it is specified by the genomes of the myriad organisms with which we share the planet. Every organism possesses a genome that contains the biological information needed to construct and maintain a living example of that organism.
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A molecular transformation is common concept in chemistry It consists in a small change to a chemical structure Removing or replacing a substituent or an atom
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a packet class with random variables and constraints, plus testbench code that constructs and randomizes a packet.
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Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.
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The GenBank sequence database is an annotated collection of all publicly available nucleotide sequences and their protein translations.
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Color gamut refers to the range of colors a specific device is capable of producing. There are millions of colors the eye can discern in the visible spectrum.
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One type of network sees the nodes as ‘artificial neurons’. These are called artificial neural networks (ANNs). An artificial neuron is a computational model inspired in the natural neurons.
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A scalar is a quantity with magnitude (size) only – for example, an amount of money or a length of time.
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Addition, subtraction, multiplication, and division can be used to create a new function from two or more functions. The domain of the new function will be the intersection of the domains of the original functions.
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Calculate the distance between 2 points. Calculate the midpoint of a line segment
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The nature of the concept of limits is discussed in this section. A description of the learning and concept formation theories used in the study follow. The last part deals with terminology where the applications of some words in the articles are clarified
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Ribonucleic acid, or RNA, is as the name suggests a molecule very similar to 2′-deoxyribonucleic acid, or DNA. The two differences are an extra hydroxyl group on the ringformed ribose sugar on the backbone, and the substitution of thymine with uracil as one of the four possible side chain bases.
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contributed to the eld of bioinformatics proposing a novel input encoding method (3), and architectures related to the exploitation of alternative output encoding techniques structure prediction.
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Represents structures as SSEs Topology inferred from type, directionality and connectivity of SSEs p-value for statistical significance of similarity
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Signaling pathways involve enzymes that catalyze reactions such as phosphorylation, dephosphorylation, and nucleotide exchange. The input control of such enzymes determines when, where, and by what they are activated.
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Certain notions which we all take for granted are harder to define precisely than one might expect
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A probability density function is an equation used to compute probabilities ofcontinuous random variables that must satisfy the following two properties.Graph of the equation must be greater than or equal to zero for all possible valuesof the random variable.Area under the curve equals
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Another most widely used measure of the center is the arithmetic mean or simply mean.
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It is available free to all individuals, on the understanding that it is not to be used for nancial gain, and may be downloaded and/or photocopied, with or without permission from the author.
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Multiple-sequence alignment analysis is a powerful approach for understanding phylogenetic relationships, annotating genes, and detecting functional regulatory elements. With a growing number of partly or fully sequenced vertebrate genomes, effective tools for performing multiple comparisons are required to accurately and efficiently assist biological discoveries.
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So far we have confined our discussion to the distributions involving only one variable. Sometimes, in practical applications, we might come across certain set of data, where each item of the set may comprise of the values of two or more variables.
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