Table of Contents
9 relations: Bioinformatics, Brown University, DNA binding site, English language, Sensitivity and specificity, Sequence alignment, Sequence analysis, Sequence motif, Statistical significance.
Bioinformatics
Bioinformatics is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex.
See Phyloscan and Bioinformatics
Brown University
Brown University is a private Ivy League research university in Providence, Rhode Island.
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DNA binding site
DNA binding sites are a type of binding site found in DNA where other molecules may bind. Phyloscan and DNA binding site are bioinformatics.
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English language
English is a West Germanic language in the Indo-European language family, whose speakers, called Anglophones, originated in early medieval England on the island of Great Britain.
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Sensitivity and specificity
In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical condition. Phyloscan and sensitivity and specificity are bioinformatics.
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Sequence alignment
In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.
See Phyloscan and Sequence alignment
Sequence analysis
In bioinformatics, sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of a wide range of analytical methods to understand its features, function, structure, or evolution. Phyloscan and sequence analysis are bioinformatics.
See Phyloscan and Sequence analysis
Sequence motif
In biology, a sequence motif is a nucleotide or amino-acid sequence pattern that is widespread and usually assumed to be related to biological function of the macromolecule. Phyloscan and sequence motif are bioinformatics.
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Statistical significance
In statistical hypothesis testing, a result has statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis were true.
See Phyloscan and Statistical significance