Hybridization-based target enrichment protocols require relatively large starting amounts of genomic DNA, which is not always available. Here, we tested three approaches to pre-capture library preparation starting from 10 ng of genomic DNA: (i and ii) whole-genome amplification of DNA samples with REPLI-g (Qiagen) and GenomePlex (Sigma) kits followed by standard library preparation, and (iii) l...

(13)C NMR spectroscopy is a unique tool to measure the cerebral tricarboxylic acid (TCA) cycle rate in vivo. The measurement relies on metabolic modeling of glutamate C3 and C4 enrichment time courses during a (13)C-glucose intravenous infusion. Usual metabolic models require the plasma glucose and (13)C-glucose time courses as input functions, as well as the knowledge of Michaelis-Menten kinet...

This study was conducted to investigate the influence of teaching accurate grammar inwriting via enriched long text and short text for the elementary students atShokouhe_Farhang institute. The homogenized subjects were divided into two groups of 18and 17 participants. Using a writing exam as a pretest in order to check the students’knowledge in English past tense. The control group received the...

The genome-wide study of epigenetic states requires the integrative analysis of histone modification ChIP-seq data. Here, we introduce an easy-to-use analytic framework to compare profiles of enrichment in histone modifications around classes of genomic elements, e.g. transcription start sites (TSS). Our framework is available via the user-friendly R/Bioconductor package DChIPRep. DChIPRep uses...

Infection of HeLa cells by mixtures of standard poliovirus and defective, interfering (DI) poliovirus particles leads to a higher ratio of DI particles in the progeny than in the inoculum. The extent of this enrichment could be varied by various manipulations of the co-infected cells. At any time during the infection cycle, virions made within short times after addition of radioactive uridine w...

This work studies the chance of using a neural network for classifying a set of road lines through a supervised learning process, trying to emulate a classification performed by a human expert. Here we present data segmentation, expert classification, data enrichment, and the neural network design, training and validation. The network selected is a feedforward backpropagation type with one hidd...

With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Currently, this problem is most commonly addressed by manually devising means of enriching an input dataset. The few tools that aim at supporting this endeavour usually focus on supporting the manual definition of enrichment pipelines. In this paper, we present ...

Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological processes associated with gene lists. Plant phenomi...