The last decade has witnessed significant changes in life sciences including the birth of new disciplines like next generation sequencing and single cell biology. The advent of these new disciplines has been enabled by rapidly evolving technologies and novel instrumentation. One of the major challenges of utilizing these next next-generation platforms is that they generate massive amounts of complex data. More importantly fully leveraging and finding the useful information in these datasets is an extremely difficult and specialized task for which most research scientists are untrained. Also, the adoption of new instruments and hardware has additional challenges: experimental design and set up can be very complex, workflows can be long and convoluted, resulting in reduced efficiency, sub-optimal resource utilization and poor rate of progress.
While life science research has evolved to become inter-disciplinary, experimental design and data analysis tools are mired in the past. Out of necessity, researchers often revert to ad hoc public software tools that are hard to use, are restricted in functionality, and require a very capable programmer to integrate into a robust and reliable experimental workflow. For these reasons, many life science, biomedical researchers continue to use excel to tabulate and analyze data: this is not only labor intensive but provides woeful computational power that is inadequate for today’s researchers.
Smpl Bio, by combining insight to biological, biomedical experimental workflows with a unique and powerful modular computational infrastructure, seeks to usher in a new bioinformatics paradigm.