A mathematical multi-compartment model was constructed, based on the available experimental data, which integrates metabolic processes involved in hepatic lipid metabolism, as well as plasma lipoprotein metabolism.
To address these limitations, we have developed a CAP-miRSeq, a comprehensive analysis pipeline for deep microRNA sequencing data, which integrates read pre-processing, alignment, mature/precursor/novel miRNA qualification and prediction, SNV detection in the coding region of miRNA, data visualization, and differential expression between experimental conditions with biological replicates.
DRM incorporates data grid architecture which integrates data storage devices and data management services.
They designed and implemented a Taverna-based data refinement workflow which integrates taxonomic data retrieval, data cleaning, and data selection to define a semiautomated workflow [ 66].
Hera is composed of two phases: the data collection phase, which integrates data from different sources, and the presentation generation phase, which builds a hypermedia presentation for the integrated data.
Using the module for combined analysis of miRNA and mRNA data of omiRas, which integrates information of 8 miRNA-mRNA interaction databases, we found 155 interactions between 68 differentially expressed miRNAs and 47 differentially expressed target genes (Table S9).
Here, we present a systematic and rapid genomics data analysis framework, which integrates DNA, RNA and tissue data to identify clinically relevant biomarkers for neuroblastoma.
We also used both fee-for-service (FFS) Medicare data from CMS and Medicare Advantage (MA) health plan data, which required integrating datasets from different sources with variation in data format and availability.
The primary source of polymorphism and genotype data for SNPs and in-dels is from dbSNP, the major public archive of variation data, which is integrated with data from other sources as described below.
In this paper, we have described the architecture and database design and modeling issues of PathCase-SB, which integrates data from different systems biology data sources (BioModels Database and CellML) and a metabolic network data source (KEGG).
Next, we carried out enrichment analysis of transcription factor (TF) targets using the ENCODE ChIP-Seq Significance Tool [ 56], which integrates data from hundreds of public ChIP-Seq data sets, to evaluate potential transcriptional regulators of the differentially expressed genes in the CNM.
