These data have been generated by a series of different projects, mainly based at the University of Delaware and funded primarily by grants from the National Science Foundation and the United States Department of Agriculture. The database and the web pages that you see were produced by the Meyers lab, with data generated within our lab, by collaborating laboratories like the Green or Wang labs. Some data we've gathered from Genbank or other public sources. Much of the data was produced under contract by Illumina, Inc (Hayward, California), but some SBS libraries are now being sequenced at other sites.

The data are freely available, but we ask that you cite this web page or related publications; most libraries have been published as part of specific papers, but the best general citation for the website is Nakano et al. (2006) NAR 34(Database issue):D731-5. We would also like to know that you have found our data to be useful, so please let us know if you use data from this page. Please note, however, that the availability of this data and information does not constitute scientific publication; we request that you respect our right to publish on the complete data sets.

These data may contain errors or be incomplete, and should only be considered as a starting point for additional studies, or for comparisons. We do use some formulas for calculation of normalized values that can result in changes in these values as new libraries are added, although these changes will normally be quite small (e.g. not significant).

Listed below are the different data sets that we have generated and the sites that we have developed for accessing these data.

The mRNA data set was the first generated by this project under NSF funding, including grants from these programs: Plant Genome Research, Genes and Genome Systems (MCB), Small Grant for Exploratory Research. The mRNA data includes at least 17 Arabidopsis MPSS libraries that comprise more than 43 million total signatures. More recently, we added small RNA data, based on MPSS and 454; the techniques for the parallel sequencing of small RNAs were developed with Pam Green's lab, also here at the University of Delaware. Our next phase of web site development will include the release of small RNA data based on Illumina's SBS method. The Arabidopsis data are available if you selecthis link or click on the button below.

These mRNA and small RNA data have been generated under NSF and USDA funding. This includes grants from NSF's Plant Genome Research Program, and the USDA Plant Genome Program. This project is a collaboration with the laboratory of Guo-liang Wang at Ohio State, as well as with Pam Green's lab here at the University of Delaware. Our next phase of web site development will include the release of small RNA data based on Illumina's SBS method. The rice data areavailable if you selec this link or click on the button below.

This data set was generated primarily with support from USDA's Plant Genome Program (CSREES award #2006-03567). The project is a collaboration between the University of Delaware laboratories of Janine Sherrier, Pam Green, and Blake Meyers. At the current time, we are working on generating the Medicago small RNA libraries, with no plans to offer mRNA data (due to the nature of our grant). These data will be available if you select this link or click on the button below.

This data set was generated partially under NSF award #0321437, and partially in collaboration with Illumina, Inc. These material was obtained from our collaborators in the laboratory of Guo-liang Wang at Ohio State. These data comprise two libraries from the fungal plant pathogen, Magnaporthe grisea, commonly known as rice blast. These data are available if you select this link or click on the button below.

This data set was also funded by NSF award #0110528 (Plant Genome Research Program), and it comprises one library from Cabernet Sauvignon, Stage II berries. The material was obtained from Dr. Alberto Iandolino at UC Davis. This library consists of more than 2.5 million signatures. At the time of our analysis, no grape genome was available, so the data were compared to ESTs to assign signatures to genes and to provide quantitative expression data for matching ESTs. These data are available if you select this link or click on the button below.