Sentence examples for using the fasta search from inspiring English sources

Each OR-coding sequence thus identified was queried against the HORDE #42 Database using the FASTA search and classified into the same family as the best-hit human OR sequence.

Accuracy of the NGS approach in identifying OR genes was assessed by comparing FLX-based OR sequences obtained from the anole lizard genomic DNA with the corresponding DB-based OR sequences using the FASTA search.

Each OR sequence identified was searched against the HORDE (the Human Olfactory Data Explorer) #42 database (Olender et al. 2004, http://genome.weizmann.ac.il/horde/) using the FASTA search and classified into the same family as the best-hit human OR sequence.

To assess the validity of putative OR gene sequences obtained by the GS FLX sequencing (designated FLX-based OR sequences), we corresponded each FLX-based OR sequence from the anole lizard to the OR gene sequences identified in its draft genome (designated DB-based OR sequences) using the FASTA search.

These preliminary sequence identifications were supplemented by focused searches of the assembly using the FastA collection of programs and individual sequences of interest as queries [73].

Other genes were identified by similar searches in the local databases using the FASTA program (Pearson 1994).

The homology search of the deduced amino acid sequence of the obtained cDNA was carried out using the FASTA in the DNA Data Bank of Japan web site (http://www.ddbj.nig.ac.jp/search/fasta-j.html).

The percentages of similarity were determined using the FASTA network service (European Bioinformatics Institute Fasta Service; available from http://www.ebi.ac.uk/fasta).ac.uk/fasta

Suitable templates for Cry8Ka1 model building were found using a FASTA search of sequences in the Protein Data Bank [ 36] at the European Bioinformatics Institute http://www.ebi.ac.uk/fasta33.ac.uk/fasta33

From the NCBI protein database five different groups of gluten protein sequences were extracted and subsequently converted into FASTA formats, using the following search queries: 'alpha gliadin', 'gamma gliadin', 'omega gliadin' 'D-type LMW-GS'LMWLMW glutenin', and 'HMW glutenin'.

TAPIR offers potential plant miRNA targets using a fast (FASTA) search engine and a precise (RNAhybrid) engine.