Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies.

To increase the coverage of phytohormone related genes, we have updated our database from AHD to AHD2.0 by adding and integrating several pronounced features: (1) we added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) we integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) we integrated predicted miRNA splicing site in each gene in the database; (4) we provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, we also provided links to a powerful online analysis platform Weblab that we have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) we provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research.

Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies.

To increase the coverage of phytohormone related genes, we have updated our database from AHD to AHD2.0 by adding and integrating several pronounced features: (1) we added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) we integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) we integrated predicted miRNA splicing site in each gene in the database; (4) we provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, we also provided links to a powerful online analysis platform Weblab that we have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) we provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research.