A core classification system for the main categories of causes of death and associated risk factors and conditions in stillbirths, as collected in our proposed dataset template, is nonetheless the starting point.
Characteristics and predisposing risks, such as plurality and maternal size, should be registered together with events and conditions presenting during the intrapartum period, as should information on the level and quality of care available and received, as indicated in the dataset template.
In paired-end RNAseq datasets, template switching by reverse-transcriptase can generate chimeric read pairs that combine sequences from distinct transcripts (Roy and Irimia 2008).
Both data forms are in compliance with the European Core Dataset (Utstein Template, see [ 5]).
The current study uses improved normalization methods together with a dataset-specific template.
Hence, we used bioinformatics methods to predict and analyze the tertiary structure of 44 selected rhizobial Glbs (i. e. those representative of major rhizobial Glb clades identified in this work (see Figure 2 and Table S2)) using the best structural homologs as templates (Dataset 3).
Object wrappers act as the communicating agent between diversified datasets and the templates.
The alignment for 3D methods was obtained by maximum common substructures (MCS) approach, by taking the most mutagenic molecule of the dataset as the template.
In order to identify genes to use as potential early diagnostic and/or prognostic biomarkers, we used our dataset as starting template to perform an IPA-biomarker analysis.
The thinning was done using the PASNP dataset as a template.
