Bioinformatics is the data science for biological data and has become central to the process of biological discovery. Instead of just accumulating knowledge from experimental observations, life scientists everywhere are generating more and more data to catch patterns that can …
NGS in the clinic: from research studies to precision medicine! The interest and the potential of precision diagnostics and personalized therapy are now becoming a reality with large scale data analysis being carried out to understand and adopt Next Generation …
Vamshi Venkat is a bioinformatician and data scientist from Hyderabad, India. He is an experienced Bioinformatician with experience in R and Python specializing in Data Science and Machine Learning. He completed his Post-graduation on Bioinformatics from Osmania University. Vamshi is …
Today we had a wonderful session on OmicsLogic Biomedical Data Science. In this webinar, we covered data science principles, examples of analysis and project ideas. The webinar introduced an upcoming program that is designed to help introduce bioinformatics methods and …
May 8th, 2019, our team had the opportunity to share with a community of researchers about the valuable resources made available through the TCGA project. This project, The Cancer Genome Atlas, launched in 2013 to bring together a standardized cohort …
In the summer of 2018, our team will be working with faculty and students from the Tauber Bioinformatics Research Center at the University of Haifa, Israel to prepare and deliver expert bioinformatics workshops on biomedical data analysis that combine discussion …
Bioinformatics is a discipline that combines Mathematics, Computer Science and Biology. Individual disciplines, whether taught together or separately often require several years to develop level of skill that makes the bioinformatics discovery exiting. While the basics are inevitable, we think …
Data analytics skills are in high demand in clinical research and treatment development, though most bioinformatics education courses focus on technical issues rather than the bigger picture of big data and its potential to change the way we view disease …
Biomedical discovery is increasingly characterized by analysis of big, omics data. Analysis of biomedical big data is a revolutionary means of understanding the molecular basis of disease regulation and susceptibility, and this resource is now open to anyone! But before we …
Effective, precise and personalized diagnostics and treatment stemming from an improved understanding of diseases has been in part driven by increased and improved data collection, especially high-throughput data. Genomic, transcriptomic, proteomic, metabolomic, and other ‘omic datasets enable biological research on a …