Sentence examples for informatics prediction from inspiring English sources
The proof of functions, especially for novel proteins, can only be obtained by experimental approaches, and the purpose of any informatics prediction for such novel proteins is to provide the supporting-evidence/guideline for experimental studies.
This paper characterizes the basic function about AsCOI1 gene including the full-length cDNA sequence cloning, informatics prediction analysis, tissue expression pattern analysis, subcellular localization analysis, and the wounding-induced expression analysis.
Bio-informatics prediction, screening and Gene Ontology analysis of miRNAs targets identified several biological processes and pathways underlying the ovarian function.
One of the difficulties in the study of miRNAs are that one miRNA has several hundred predicted targets and these bio-informatic predictions are not very accurate.
Findings from published studies were compared to the immuno-informatic predictions to discuss the validity and functionality of the predictions.
A total of 1,249 predicted targets were identified in these six modules, and 229 of them were validated through data from chromatin immunoprecipitation (ChIP) experiments [ 55- 57], providing a significant validation of the bio-informatic predictions (hypergeometric test; P = 7.73E-12; Methods).
Section "Result: predicting ocular diseases based on genetic information" concerns studies relating genomic informatics to disease prediction.
Further bio-informatic approaches including prediction of subcellular localization, calculation of molecular weight, and web-based investigation of 3D structural characteristics greatly aided in filtering the potential drug targets from 350 to 120.
Because different informatics tools for TMD prediction have disparate outputs regarding the number and topology of the predicted TMD regions [ 41], several programs should be considered to provide a more comprehensive view of a membrane proteome.
Clinical Informatics research involves making predictions that can help physicians make better, faster, more accurate decisions about their patients through analysis of patient data.
