Sentence examples for database generated from a from inspiring English sources

Recently, we described a Capsicum transcriptome database generated from a hybrid assembly of a collection of ESTs derived from five Capsicum annuum organs (root, stem, leaf, flower and fruit) sequenced by the Sanger method and from multiple leaf transcriptomes obtained by pyrosequencing.

Nanospray LC/MSE analysis of the whole venom of B. irregularis identified peptide evidence for 14 of the 45 (31.1%) putative toxin transcript clusters using a database generated from all of the unique transcripts (toxin and nontoxin) identified in the transcriptome.

IPA is a database generated from peer-reviewed scientific publications that provides a tool for discovery of signaling pathways and gene networks within the uploaded gene lists.

We performed a population based cohort study using a database generated from the North Western Perinatal Survey (NWPS), based at St Mary's Hospital, Manchester, UK.

Potential study participants from a local academic family practice clinic were selected through a database generated from the electronic medical record, Open Source Clinical Applications Resource (OSCAR) [ 16].

The large EST database generated from these sequences is an informative resource for identifying genes involved in various biological processes in carnation and provides an EST resource for understanding the genetic diversity of this plant.

IPA compares groups of genes from each expression profile to an annotated database generated from published protein and genetic networks and displays a rank-ordered list of pathways whose function is most likely to be affected by that expression pattern.

A prospective study was therefore undertaken to examine the influence of age, blood type, gender and race on bacterial infection rates using a real database generated from 187 bacteremic patients admitted to Albert Einstein Medical Center.

IPA is a knowledge database generated from the peer-reviewed scientific publications that enables discovery of biological networks in gene expression data, determining the functions most significant to those networks.

Sequences were analyzed by BLASTx against a local database generated from the data found [ 33, 38].

The resulting spectra were searched using the MASCOT 2.0 software (Matrix Science, Boston, MA) against a protein database generated from Heliconius unigene sequences.