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Using these modules we studied the conservation of genomic interaction data at the network level rather than at the individual protein level.
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For example, when the genomic data for DARS were searched, the search output shows the genomic, proteomic and interaction data of DARS in IDA.
One approach to identify new human disease genes is to intersect cell biological, genomic, or protein interaction data in order to prioritize candidates for closer inspection.
They then built disease-signaling networks highlighting defective signaling modules based on patient genomic profiles and protein interaction data.
Integration of genomic features with chromatin interaction data provided evidence for hundreds of connected cis-regulatory domains associated with differences in transcription factor binding and gene expression.
Huge amounts of genomic, transcriptomic, proteomic and interaction data for diverse diseases have been accumulated.
To resolve this problem, we collected genomic, transcriptomic, proteomic and interaction data of ARS/AIMPs and their interactors from numerous databases and integrated them to IDA.
The rapid drop for large genomic distances might result from the limitation of interaction data when the genomic distance is increased.
A data fragmentation situation similar to the current diversity of interaction data arose with genomic data several years ago.
These physical genomic folding structures have been revealed using long-range genomic interaction maps derived from high-throughput sequencing data [68].
In terms of accuracy, the knowledge-driven genomic interaction model outperformed the model with gene expression data alone.
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