The advent of next-generation sequencing has revolutionized biology and many other fields. Sequencing is now used to develop new drugs, understand personal ancestry and predisposition to certain diseases, improve yields in agriculture, find new oil fields, and in many other areas. DNA sequencing is becoming as indispensable as computing in many industries.
When you are looking for a sequencing facility there are two main factors to consider aside from the quality of the data cost and turn-around time (TAT). We've researched many facilities across the globe and this is what we have found:
First, the cost of sequencing varies widely between facilities. In part, this is due to the facility's source of funding: governmental or private. Most government funded academic institutions run their sequencers at cost for their internal users (students and professors). They usually have a pricing structure as follows: cheapest for internal, more expensive for external nonprofit users and the most expensive (sometimes as much as a 50% surcharge) for external for-profit users. To illustrate
The goal of the modern genomics researcher is not simply to build genomics tools or even to gather genomic data. Instead, the ultimate objective is to further scientific knowledge to better understand human disease, plant and animal genetics, microbial ecology or evolution. The genomics researcher or bioinformatician seeks a deeper understanding of the science; better research tools are only a means to this end. A number of complex steps are involved in genomic sequencing, including platform or vendor selection, sample preparation, sequencing, data management and bioinformatics. Each of these individual processes bears its own learning curve, and a failure at any step could cripple downstream result
Current Next-Generation Sequencing (NGS) platforms employ massively parallel, automatable sequencing approaches designed for maximum output and efficiency. With vastly improved speed and efficiency, modern NGS platforms have enabled an entirely new paradigm for genomic research, with new applications in human disease, small-genome species, metagenomics, consumer testing and more. Early NGS