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 …
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 …
Interest in Data Science is growing in many industries as data becomes a key part of business, finance, and today, biomedical research and medicine in general. Biologists, clinicians and lab technicians can set themselves apart, advance research and become more …
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 …
Project-based learning is one of the most successful methods of gaining understanding and practical experience. Especially in RNA-seq, a growing number of public domain datasets is making it possible to manipulate bioinformatic datasets in without access to a lab or a …
For the past year or so, Big Data Analysis Tbio has been under development and testing. Taking on showcase projects, we’ve been trying our bioinformatics tools on public domain and collaboration projects. These are our conclusions and updates: RNA-seq Challenges: …