MASISH: a database for gene expression in maize seeds

• Published in: Bioinformatics Vol. 27; no. 3; pp. 435 - 436
• Main Authors: MIQUEL, M, LOPEZ-RIBERA, I, RAMIA, M, CASILLAS, S, BARBADILLA, A, VICIENT, C. M
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01-02-2011
• Subjects: Biological and medical sciences; Computational Biology - methods; Databases, Genetic; Fundamental and applied biological sciences. Psychology; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Plant; General aspects; Genes; Internet; Maize; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); On-line systems; Query processing; Seeds; Seeds - genetics; Software; Zea mays; Zea mays - genetics; Monocotyledones; Seeds; Zea mays; Gene; Gramineae; Seed; Angiospermae; Database; Spermatophyta; Gene expression
• ISSN: 1367-4803; 1367-4811; 1460-2059
• DOI: 10.1093/bioinformatics/btq654

Grass seeds are complex organs composed by multiple tissues and cell types that develop coordinately to produce a viable embryo. The identification of genes involved in seed development is of great interest, but systematic spatial analyses of gene expression on maize seeds at the cell level have not yet been performed. MASISH is an online database holding information for gene expression spatial patterns in maize seeds based on in situ hybridization experiments. The web-based query interface allows the execution of gene queries and provides hybridization images, published references and information of the analyzed genes.
http://masish.uab.cat/.