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In this Data Descriptor, we present detailed information on experimental design, data generation, quality control analysis, and data validation.
In this paper, we describe the methodological steps surrounding genetic data generation, quality control, study design and analytical procedures needed to run GWAS in the multiethnic and highly admixed Generation R Study, a large prospective birth cohort in Rotterdam, the Netherlands.
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The recent establishment of the online Next Generation Sequencing Quality Control (NGS-QC) Generator, a useful cross-platform quality assessment tool [ 25], allowed a quantitative comparison of our ChIP-seq approach with already published methods (Additional file 6: Additional Methods).
To circumvent the laborious and cost-intensive duplication of all processes during clone generation and quality control, we developed a cloning strategy that allows for the simultaneous generation of two variants of Gateway entry clones, one containing a particular ORF with and the other without the stop codon.
Genotype generation and quality control were performed by deCODE Genotyping Service (http://www.decode.com/).
Our NGSQC (Next Generation Sequencing Quality Control) pipeline is designed to address the above shortcomings in deep sequencing quality analysis.
A total of 3438 ESTs were sequenced from the reproductive library of which 3048 were used for contig generation after quality control screening.
The NGSQC (Next Generation Sequencing Quality Control) pipeline provides a set of novel quality control measures for quickly detecting a wide variety of quality issues in deep sequencing data derived from two dimensional surfaces, regardless of the assay technology used.
Branch has implemented a subtle and clever twist on Quora's formula for content generation and quality controls by employing an "invite-to-thread" model for each "branch" (many of which are prompted by questions), as well as allowing users to create new "branches" by forking discussions when users want to take a topic elsewhere.
All relevant adenoviral generation methods and quality control procedures are described in detail in Southgate et al [39].
Numeric data were imported into LimmaGUI [ 85, 86] which allowed the subtraction of background measurements, generation of additional quality control plots and subsequent normalisation using a within-array Tiplowess manipulation.
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