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In Silico Analysis of a Highly Mutated Gene in Cancer Provides Insight into Abnormal mRNA Splicing: Splicing Factor 3B Subunit 1(K700E) Mutant
(Mdpi, 2020)
Cancer is the second leading cause of death worldwide. The etiology of the disease has remained elusive, but mutations causing aberrant RNA splicing have been considered one of the significant factors in various cancer ...
UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches
(Oxford Univ Press, 2015)
Motivation: UniRef databases provide full-scale clustering of UniProtKB sequences and are utilized for a broad range of applications, particularly similarity-based functional annotation. Non-redundancy and intra-cluster ...
ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor
(Frontiers, 2021)
Adenoviruses (AdVs) constitute a diverse family with many pathogenic types that infect a broad range of hosts. Understanding the pathogenesis of adenoviral infections is not only clinically relevant but also important to ...
In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases
(Bmc, 2014)
Background: Near universal administration of vaccines mandates intense pharmacovigilance for vaccine safety and a stringently low tolerance for adverse events. Reports of autoimmune diseases (AID) following vaccination ...
A correlation coefficient-based feature selection approach for virus-host protein-protein interaction prediction
(Plos, 2023)
Prediction of virus-host protein-protein interactions (PPI) is a broad research area where various machine-learning-based classifiers are developed. Transforming biological data into machine-usable features is a preliminary ...
DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing
(PMC, 2023)
The discovery of low-coverage (i.e. uncovered) regions containing clinically significant variants, especially when they are related to the patient's clinical phenotype, is critical for whole-exome sequencing (WES) based ...