Sequences were compared with database using BLAST (http://www.ncbi.nlm.nih.gov/BLAST) blastn and blastp (Altschul et al. 1990).
The sequences were compared with database sequences by BLAST searching.
The minor allele counts were compared with database (http://www.ncbi.nlm.nih.gov/projects/SNP) and the data were matched well.
Other methods for database validation include the use of morbidity surveys and national data to compare with database information [ 34, 35], which reported similar database usefulness.
The positional distribution of the GATA-3 motif derived from the above database is also compared with Database of Transcription Start Sites (DBTSS) [ 34, 35].
DNA sequences were compared with database sequences at the Saccharomyces Genome Database web site using the BLAST algorithm (Altschul et al. 1990).
The resulting PCR fragments were cloned into pGEM-T easy vector (Promega, Madison, WI, USA), sequenced and compared with database sequences using the BLAST program.
A difference of 2 nt each was seen when the amplified nucleotide sequence was compared with database sequences of A. agkistrodontis and A. moniliformis.
Mass spectra of peptide fragments were compared with database entries, regarding the statistical requirements, and 115 spots were successfully identified, representing 95 different proteins (Tables 1 and 2).
One hundred and five ama -1 sequences were generated and analyzed from samples from six different Brazilian states and compared with database sequences from the Old World.
Comparative EF-1α sequence analysis using the FUSARIUM ID database BLAST feature allowed for identification of most study isolates to the species level, with sequence identities ranging from 94.1% to 100% (mean = 99.9, median = 100%) when compared with database isolates.
