J. S. Cumbie, R. C. Pankow, W. J. Thomas, and J. H. Chang (2010)
AutoSPOTs: Automated Image Analysis for Enumerating Callose Deposition
10th Japan-US Seminar: Genome-Enabled Integration of Research in Plant Pathogen Systems, K. Akimitsu, et al., Editors. 2010, APS press: St. Paul, MN.
eBAS (eMOTIF Batch Analysis Suite permits eMOTIF licensees to analyze groups of proteins or entire proteomes for the presence of eMOTIFs in batch fashion.The core of this software bundle is a Makefile script that has streamlined and automated the steps involved in running the database of eMOTIFS against multiple ORFs, genomes, and proteomes. ebas accepts FASTA-formatted ORF sequences, FASTA-formatted genomic DNA sequences, and FASTA-formatted protein sequences as input. eBAS assumes the ORFs are reported in the right frame; therefore, ebas will only translate one frame of the ORF sequences. Genomic DNA sequences, on the other hand, may or may not code for proteins; ebas, therefore, will translate all six frames of the genomic DNA sequences. The input protein and translated sequences are then piped to eMOTIF-SEARCH for automated classification. ebas has been applied to coding sequences derived from the Arabidopsis thaliana genomic sequence.