Clearly, the DNA sequencing technology has matured and is continuously being optimized for performance while becoming increasingly affordable, thus opening an era of reliable and foreseeable quality data growth demanding high computational resources and data storage. With the rise of varied applications, be it in cancer research, infectious diseases, and other therapy areas, and with the launch of large initiatives (e.g. The Precision Medicine Initiative (PMI)), the need to address the ensuing data explosion is imminent.

Oncology is the dominant sector that currently benefits from next-generation sequencing followed by applications in inherited and rare disease understanding, infectious disease, the microbiome, and others. It is expected that soon, agriculture will also benefit from the technological developments that currently help propel both biomedical research and the clinical sector. Continue reading →

Palo Alto, CA, August 22, 2016 – enlightenbio LLC, today announced the publication of its NGS Data Analysis & Interpretation Ecosystem Analysis Report. This new report details an extensive ecosystem analysis of 25 commercial companies in the NGS data analysis and interpretation space, market trends, unmet needs and challenges. The report is unique, in that it is not a predictive market research report, but rather builds on data gathered from many end-user interviews combined with an extensive ecosystem analysis.

This comparative ecosystem analysis of key commercial data analysis and interpretation tool providers reveals a range of capabilities that uniquely address both secondary and tertiary sequence data analysis needs. At first glance, the value propositions and communication of capabilities may seem overlapping or similar. However, a deeper analysis clearly uncovers substantial differences in the product characteristics related to analysis and interpretation, data management, data sharing and collaboration, reporting of findings, compliance and security mechanisms, and type of content made available for meaningful knowledge extraction.

While this report does not intend to provide direct recommendations to end-users for Continue reading →