To identify these we investigated the databases listed in the 2005 issue of the Nucleic Acids Research Database issue [ 9] and used those listed on the Center for Disease Control and Disease Prevention CDC Office of Genomics and Disease Preventionon website [ 10].
We investigate the database combining the 1-min-averaged central plasma sheet (CPS) parameters (N, P, and T, separately for protons and for electrons, and β = 2 μ 0(P i + P e /B 2).
Here, since we are investigating the database iMC1010v1 which brings together, within the same network, genes as well as nodes describing external environmental signals, this possibility has become evident.
For each data type, we investigate the databases and the algorithms to detect different ocular diseases.
In the second segment, we investigated the inter database homogeneity by forming a hybrid face database drawn from the BU-3DFE and UPM-3DFE.
In this regard, we investigated the IAM database to look for the words written by the maximum number of writers and, at the same time, written several times by every single writer, but no word satisfied such criteria.
As these differences could introduce an additional source of variation in our analyses, we investigated the importance of database origin, using the 21 taxa for which data were available from both repositories (see additional file 3).
We investigated the models in the database PoCaB [ 41], which consists of 365 models from the publicly available database Biomodels [ 36] (see also the page http://www.ebi.ac.uk/biomodels-main/).
The genomic organization of SOLD1 was investigated using the database in the NCBI Map Viewer web site [http://www.ncbi.nlm.nih.gov/mapview/].
In addition, functional interactions between proteins that were encoded by some of the candidate genes were investigated using the database STRING 9.0 of functional protein association networks (http://string-db.org/) [ 36].
