Sentence examples for microarray data presents from inspiring English sources

Analysis of microarray data presents unprecedented opportunities and challenges for data mining in areas such as gene clustering, class discovery, and tumor classification [ 1].

All microarray data presented in this study is scheduled for upload and presentation by individual gene and time course at the genome web site, ToxoDB, which is part of EuPathDB (http://eupathdb.org/eupathdb/).

The microarray data presented here indicates that rice homologs of these ZIM transcription factors and OsMYC (or OsJIN1) are upregulated by ClsA treatment.

The microarray data presented here are available in the ArrayExpress database [64] (www.ebi.ac.uk/arrayexpress) under the accession number E-MEXP-2342 E-MEXP-2342 E-MEXP-2342

Glycan microarray data presented here will be made available online through the Consortium for Functional Glycomics website (http://www.functionalglycomics.org).org

While the microarray data presented here are fully MIAME compliant, the raw data has not been deposited in a MIAME compliant database because not all spotted clones on the arrays have been sequenced (only the significantly regulated clones were sequenced).

The microarray data presented in this publication have been deposited in the MIAME compliant data base – NCBI's Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/), and are accessible through GEO Series accession number GEO26084.

Microarray data presented in the PlasmoDB (http://www.plasmodb.org) show Pf332 to be transcribed in 3D7, Dd2 and HB3 parasites with a higher transcription level in HB3 iRBC than in the other strains.

Since the microarray data presented thus far represents treatment of a single population of PBMCs from a commercial source (Lonza, Inc. [identified as PBMC set I]), we wanted to confirm that similar gene modulation would occur in fresh human PBMCs.

The microarray data presented and discussed in this article are in accordance with MIAME guidelines, deposited in Gene Expression Omnibus of NCBI (GEO [http://www.ncbi.nlm.nih.gov/geo/]) and are accessible through GEO series accession number: GSE10391.

Since the number of samples available for the RT PCR experiment was rather limited, we decided to expand these studies using in silico screenings with the microarray data present in the Oncomine site (www.oncomine.org).org