Association of IL6 Gene Polymorphisms and Neurological Disorders: Insights from Integrated Bioinformatics and Meta-Analysis.

Interleukin 6 (IL6) is an inflammatory biomarker linked to central and peripheral nervous system diseases. This study combined bioinformatics and statistical meta-analysis to explore potential associations between IL6 gene variants (rs1800795, rs1800796, and rs1800797) and neurological disorders (NDs) and brain cancer. The meta-analysis was conducted on substantial case-control datasets and revealed a significant correlation between IL6 SNPs (rs1800795 and rs1800796) with overall NDs (p-value < 0.

Boosting edgeR (Robust) by dealing with missing observations and gene-specific outliers in RNA-Seq profiles and its application to explore biomarker genes for diagnosis and therapies of ovarian cancer.

The edgeR (Robust) is a popular approach for identifying differentially expressed genes (DEGs) from RNA-Seq profiles. However, it shows weak performance against gene-specific outliers and is unable to handle missing observations. To address these issues, we proposed a pre-processing approach of RNA-Seq count data by combining the iLOO-based outlier detection and random forest-based missing imputation approach for boosting the performance of edgeR (Robust).

Genome-wide identification and in silico characterization of major RNAi gene families in date palm (Phoenix dactylifera).

Background: Dates contain various minerals that are essential for good health. The major RNA interference (RNAi) gene families play a vital role in plant growth and development by controlling the expression of protein-coding genes against different biotic and abiotic stresses. However, these gene families for date palm are not yet studied.

An Improved Computational Prediction Model for Lysine Succinylation Sites Mapping on Fusing Three Sequence Encoding Schemes with the Random Forest Classifier.

Background: Lysine succinylation is one of the reversible protein post-translational modifications (PTMs), which regulate the structure and function of proteins. It plays a significant role in various cellular physiologies including some diseases of human as well as many other organisms. The accurate identification of succinylation site is essential to understand the various biological functions and drug development.

Genome-wide identification, characterization and phylogenetic analysis of Dicer-like (DCL) gene family in Coffea arabica.

A fine-tuned RNA interference (RNAi) pathway has been developed by plants to restrain distinct biological processes in various life stages including stress responses, development and maintenance of genome integrity. The Dicer-Like (DCL) proteins starts the RNAi process by producing complementary double-stranded RNAs (dsRNAs) into small RNA duplexes (21-24 nucleotides) trigger the RNAi process. Nevertheless, these members of RNAi pathway have not been deciphered in one of the most economically important plant coffee ().

Robust identification of differentially expressed genes from RNA-seq data.

Background: Identification of differentially expressed genes (DEGs) under two or more experimental conditions is an important task for elucidating the molecular basis of phenotypic variation. In the recent years, next generation sequencing (RNA-seq) has become very attractive and competitive alternative to the microarrays because of reducing the cost of sequencing and limitations of microarrays. A number of methods have been developed for detecting the DEGs from RNA-seq data.

Drug Targeting and Biomarkers in Head and Neck Cancers: Insights from Systems Biology Analyses.

The head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in the world, but robust biomarkers and diagnostics are still not available. This study provides in-depth insights from systems biology analyses to identify molecular biomarker signatures to inform systematic drug targeting in HNSCC. Gene expression profiles from tumors and normal tissues of 22 patients with histological confirmation of nonmetastatic HNSCC were subjected to integrative analyses with genome-scale biomolecular networks (i.