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Welcome to MaizeSequence.orgThis site provides full access to the latest sequence data and primary annotations of the maize genome.
New to the site? Get started on the project overview page. Maize golden path (AGP v1) available for downloadThe maize accessioned golden path (AGP), consisting of 10 chromosome pseudo-assemblies guided by the physical map, is available for download through the Arizona Genomics Institute [AGI homepage]. The data is available both as chromosome sequences (FASTA format) as well as tabulated information (AGP file) describing how the chromosomes are assembled from component BAC clones. We are working on integrating the golden path into the MaizeSequence.org genome browser and intend to include it as part of Release 4a.53. See the project from beginning to end!As part of the project's education outreach, we have produced, in conjunction with the Dolan DNA Learning Center, an exciting interactive tutorial, featuring interviews and demos about the sequencing effort, public access to the data, and its impact on science and agriculture. [Visit DNALC] Gene annotations for Release 3b.50Putative protein-coding genes are annotated using two methods in the current release. Ab initio predictions were performed using Fgenesh (monocot) on repeat-masked sequence, and are displayed in the track "Fgenesh (masked)". Genes from this set are color-coded to indicate homology to GenBank proteins (blue for homology versus gray for none) and to distinguish genes encoded by transposable elements (red). The second method used evidence from FL-cDNA, EST, and proteins (see FAQ for details); resulting annotations are displayed in the track "GeneBuider". The track labeled "Working Gene Set" is a combination of GeneBuilder genes and non-overlapping Fgenesh models. These were subjected to both InterPro domain searches and to Gene Ontology (GO) assignment. The track "Filtered Set" is derived from the "Working Gene Set", screened to remove pseudogenes, TE-encoded genes, low-confidence hypothetical genes, and flawed annotations. In the next release we will implement improvements to the evidence-based method and will provide Fgenesh annotations on newly available BAC sequences. |