Sentence examples for large scale sequence data from inspiring English sources

More recently, the genome-wide analysis and large scale sequence data provided evidence for a clear trifurcation at the root of placentals [ 67, 68].

Large scale sequence data has also enabled the detection of micro-collinear regions in less closely related species without apparent macrosynteny [ 15].

Nonetheless, we have identified a large number of transcripts associated with amino acid biosynthesis, and demonstrated the occurrence of extensive expressed gene variants and tandem gene arrangements; thus further highlighting the utility of next-generation sequencing platforms for generating de novo large scale sequence data to characterise non-genetic-model taxa.

Although this clustering has already been observed before for some well-studied SM genes in Aspergillus and Fusarium species (Keller and Hohn 1997), large scale sequencing data revealed that clustering is the rule rather than the exception for SM biosynthetic pathways.

To confirm the existence and the expression of these predicted genes, we cloned these genes with two strategies: 1) At least 8 zebrafish SET genes were found in our large-scale sequence data of the zebrafish kidney cDNA library described previously [34].

Although conceptually different and presumably with less expressional power than a full phylogenetic analysis, the TBC might be useful for the processing of large-scale sequence data sets, where both the phylogenetic software and the standard clustering algorithm might be hardly applicable.

Only CaSSiS was implemented for large-scale sequence data sets.

We present the first large-scale sequence data set for carnation, generated using next-generation sequencing technology.

Fortunately, an alternative computing architecture, cloud computing, has recently emerged, which provides fast and cost-effective solutions to the analysis of large-scale sequence data.

Recently, availability of large-scale sequence data, and especially entire genome sequences, has brought significant support to this view [ 2, 3].

Transcriptome sequencing using massively parallel sequencing technologies provides an attractive approach to obtaining large-scale sequence data for non-model organisms necessary for comparative genomic analysis [ 24, 48].