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GenMAPP (Gene Map Annotator and Pathway Profiler) is a free, open-source bioinformatics software tool designed to visualize and analyze genomic data in the context of pathways (metabolic, signaling), connecting gene-level datasets to biological processes and disease. [1]
There are two distinctive mapping approaches used in the field of genome mapping: genetic maps (also known as linkage maps) [7] and physical maps. [3] While both maps are a collection of genetic markers and gene loci, [8] genetic maps' distances are based on the genetic linkage information, while physical maps use actual physical distances usually measured in number of base pairs.
In genetics, a centimorgan (abbreviated cM) or map unit (m.u.) is a unit for measuring genetic linkage. It is defined as the distance between chromosome positions (also termed loci or markers) for which the expected average number of intervening chromosomal crossovers in a single generation is 0.01. It is often used to infer distance along a ...
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One utility of this approach is that it allows one to obtain values for distances in genetic mapping units directly from recombination fractions, as map distances cannot typically be obtained from empirical experiments. [1] The simplest mapping function is the Morgan Mapping Function, eponymously devised by Thomas Hunt Morgan.
GOSeq [151] Gene Ontology analyser for RNA-seq and other length biased data. GSAASEQSP [152] A Toolset for Gene Set Association Analysis of RNA-Seq Data. GSVA [153] gene set variation analysis for microarray and RNA-Seq data. Heat*Seq an interactive web tool for high-throughput sequencing experiment comparison with public data.
This page is a subsection of the list of sequence alignment software.. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments
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