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One way to visualize the similarity between two protein or nucleic acid sequences is to use a similarity matrix, known as a dot plot. These were introduced by Gibbs and McIntyre in 1970 [1] and are two-dimensional matrices that have the sequences of the proteins being compared along the vertical and horizontal axes.
Gene Set Association Analysis for RNA-Seq GSAASeq are computational methods that assess the differential expression of a pathway/gene set between two biological states based on sequence count data. GeneSCF a real-time based functional enrichment tool with support for multiple organisms.
Gene Annotator: The Gene Annotator or GA tool takes as input a list of gene symbols, RGD IDs, GenBank accession numbers, Ensembl identifiers, or a chromosomal region and retrieves gene orthologs, external database identifiers and ontology annotations for the corresponding genes in RGD. The data can be downloaded into an Excel spreadsheet or ...
Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.
Origin is primarily a GUI software with a spreadsheet front end. Unlike popular spreadsheets like Excel, Origin's worksheet is column oriented. Each column has associated attributes like name, units and other user definable labels. Instead of cell formula, Origin uses column formula for calculations.
A De Finetti diagram visualizing genotype frequencies as distances to triangle edges x (AA), y (Aa) and z (aa) in a ternary plot. The curved line are the Hardy–Weinberg equilibria. A Punnett square visualizing the genotype frequencies of a Hardy–Weinberg equilibrium as areas of a square. p (A) and q (a) are the allele frequencies.
Large sample Z-test The Z-test is used to compare relative synonymous and nonsynonymous substitutions within a gene sequence, with the main objective of determining positive selection. To perform the Z-test formula, an estimation of the number of synonymous substitutions per synonymous site (dS) and nonsynonymous substitutions per nonsynonymous ...
Often, it is more useful to calculate the information content with the background letter frequencies of the sequences you are studying rather than assuming equal probabilities of each letter (e.g., the GC-content of DNA of thermophilic bacteria range from 65.3 to 70.8, [3] thus a motif of ATAT would contain much more information than a motif of ...