Tag Archives: Big Data

As an international collaboration between hardware and middleware engineers at Earlham Institute, support staff in the Norwich Research Park Computing Infrastructure for Science (NRP CiS) team, University of Arizona, Texas Advanced Computing Centre and Cold Spring Harbor Labs, CyVerse UK ...

Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated ...

Biopsies before, during, after therapy and deep molecular analysis seek tumor tricks to target A study that indicates how advanced melanoma responds to an immunotherapy, published in Cancer Discovery, demonstrates a revolutionary approach from The University of Texas MD Anderson ...

How to not throw away Terabytes of publicly-funded data: integration of RNA-Seq big data in Bgee Frédéric Bastian, Evolutionary Bioinformatics, Lausanne Bgee Interface

A SURVIV analysis of breast cancer isoforms developed at UCLA. Blue lines are associated with longer survival times, and magenta lines with shorter survival times. People with cancer are often told by their doctors approximately how long they have to ...

The rapid advancement of emerging genomics technologies and their application for assessing safety and efficacy of FDA-regulated products require a high standard of reliability and robustness supporting regulatory decision-making in the FDA. To facilitate the regulatory application, the FDA implemented ...

The rapid growth of single-cell RNA-seq studies (scRNA-seq) demands efficient data storage, processing, and analysis. Big-data technology provides a framework that facilitates the comprehensive discovery of biological signals from inter-institutional scRNA-seq datasets. There are several strategies to solve the stochastic ...

Presented March 23, 2016. This webinar is for those who have experience with RNA-Seq analysis, variant calling or metagenomic data and want to work with large genomic datasets, use cloud computing for analyzing genomic datasets and perform parallel work on ...

Studies on gene expression in response to therapy have led to the discovery of pharmacogenomics biomarkers and advances in precision medicine. Whole transcriptome sequencing (RNA-seq) is an emerging tool for profiling gene expression and has received wide adoption in the ...

Postgenomics data are produced in large volumes by life sciences and clinical applications of novel omics diagnostics and therapeutics for precision medicine. To move from “data-to-knowledge-to-innovation,” a crucial missing step in the current era is, however, our limited understanding of ...