MaGnET is a handy, easy to use application specially designed to help you visualize and explore of large-scale datasets relating to the malaria parasite. At present the program is focused on Plasmodium falciparum, as this was the first Plasmodium species to have its genome sequenced and is the focus of several genomic-scale gene characterisation studies.

MaGnET is a handy, easy to use application specially designed to help you visualize and explore of large-scale datasets relating to the malaria parasite. At present the program is focused on Plasmodium falciparum, as this was the first Plasmodium species to have its genome sequenced and is the focus of several genomic-scale gene characterisation studies.

The program allows users to examine features of groups of genes across different datasets. It offers alternative views of the data, for example, while in the whole genome view, you may select a gene expression dataset to display against the genomic location of the genes.

If you click on a chromosome it will open in a chromosome viewing window allowing you to examine the genes more closely. The protein-protein interaction viewer allows you to navigate the interaction network for genes of interest.

Overlaying messenger RNA and protein expression data onto the interactome is a useful feature. Another section allows you to query the database and retrieve results in the form of a table.

The expression data viewer currently offers the capability to view the gene expression profile of individual genes and to compare the profiles of small groups of genes. In addition, a whole-genome expression viewer is planned and will hopefully be available soon. In all cases, it is possible to open a fact sheet listing detailed genomic and functional information about a particular gene.

The fact sheet also provides the protein and and nucleotide sequences, ortholog and paralog data, list of known interactions, Gene Ontology and InterPro annotation, links to protein structures (solved and modelled) and linkouts to other online resources.

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