Skip to main content

RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk Heart Failure patients.

Heart failure (HF) is one of the most common complications of cardiovascular diseases (CVDs) and among the leading causes of death in the US. Many other CVDs can lead to increased mortality as well. Investigating the genetic epidemiology and susceptibility to CVDs is a central focus of cardiology and biomedical life sciences. Several studies have … Read More

Course: Practicing Precision Medicine with Data Analysis at Byrne Seminars, Rutgers–New Brunswick

Dr. Zeeshan Ahmed is participating in the Byrne Seminars, and teaching a course, Practicing Precision Medicine with Data Analysis, at the Rutgers–New Brunswick, NJ. Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases, and improve routine medical and public health practice. However, practicing precision medicine … Read More

Intelligent health system for investigation and consenting COVID-19 patients and precision medicine

Advancing frontiers of clinical research, we discuss the need of the intelligent health systems to support deeper investigation of COVID-19. We hypothesize that convergence of the healthcare data and staggering developments in artificial intelligence have potential to elevate recovery process with diagnostic and predictive analysis to identify major causes of mortality, modifiable risk factors and … Read More

JWES: Pipeline for WGS & WES data processing, and gene-variant discovery, annotation, prediction, and genotyping

Whole genome and exome sequencing (WGS/WES) are the most popular next-generation sequencing (NGS) methodologies, and are at present often used to detect rare and common genetic variants of clinical significance. We emphasize that automated sequence data processing, management, and visualization should be an indispensable component of modern WGS and WES data analysis for sequence assembly, … Read More

Genomics pipelines to investigate susceptibility in whole genome data for variant discovery

Over the last few decades, genomics is leading toward audacious future, and has been changing our views about conducting biomedical research, studying diseases, and understanding diversity in our society across the human species. The whole genome and exome sequencing (WGS/WES) are two of the most popular next-generation sequencing (NGS) methodologies that are currently being used … Read More

GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis

Genetic disposition is considered critical for identifying subjects at high risk for disease development. Investigating disease-causing and high and low expressed genes can support finding the root causes of uncertainties in patient care. However, independent and timely high-throughput next-generation sequencing data analysis is still a challenge for non-computational biologists and geneticists. We present a findable, … Read More

Integrative clinical, genomics and metabolomics data analysis for mainstream precision medicine to investigate COVID-19

Despite significant scientific and medical discoveries, the genetics of novel infectious diseases like COVID-19 remains far from understanding. SARS-CoV-2 is a single-stranded RNA respiratory virus that causes COVID-19 by binding to the ACE2 receptor in the lung and other organs. Understanding its clinical presentation and metabolomic and genetic profile will lead to the discovery of … Read More

Artificial intelligence for better healthcare and precision medicine

Precision medicine is one of the recent and powerful developments in medical care, which has the potential to improve the traditional symptom-driven practice of medicine, allowing earlier interventions using advanced diagnostics and tailoring better and economically personalized treatments. Identifying the best pathway to personalized and population medicine involves the ability to analyze comprehensive patient information … Read More