Despite this limitation, we were able to confirm approximately 50% of the genes that were predicted by our computational analyses to be implicated in this phenomenon.
Genome-wide detection of P. pastoris alternative splicing (AS) events was conducted in multi-exon genes by performing computational analyses to determine known and putative splicing junctions and to identify alternative splicing sites using stringent criteria (see Materials and Methods).
4) Extended our computational analyses to other EMT-associated RNA-binding proteins in the TCGA dataset, as suggested by reviewers, and clarified our methods of analysis.
This value is also confirmed by computational analyses of replication data similar to ours (de Moura et al. 2010; Yang et al. 2010).
A structure-based virtual screen, followed by computational analyses and biochemical screening, led to the identification of an N′- 1-phenylethylidene -benzohydrazide series as KDM1A iN′- 1-phenylethylidene -benzohydrazide
Clean, structured and high quality data stored in a relational database resource can facilitate computational predictive modeling, thus allowing for new information to be inferred by computational analyses.
Structured and high quality experimental data stored in a container, such as a relational database, can facilitate easy computational processing, thus allowing for high quality information/knowledge to be inferred by computational analyses.
Three of the mutations are overtly deleterious, including two frameshift indels and a canonical splice site mutation, while the missense mutation is predicted to be deleterious by computational analyses [ 20– 20].
Structured and high quality experimental data stored in a suitable container, such as a relational database, facilitates easy computational processing and thus allows for high quality information/knowledge to be efficiently inferred by computational analyses.
Moreover, proteins for which predictions by computational analyses disagree (e.g. Ssu05_1509) are confirmed to be surface-located by this proteomic approach, thus showing that the experimental validation of prediction program results can be useful for improving prediction algorithms.
