We live in an era of abundant data and abundant tools. New sequencing and mass spectrometry techniques are giving researchers more and more ways to generate large amounts of data, and online repositories such as GitHub make sharing of analysis methods easier than ever.
However, data and tools are not always in sync, and a discrepancy is growing between data complexity and highly specific tools. Meanwhile, general purpose analysis software also suffers from drawbacks in terms of speed and accuracy. The need for bioinformatics analysis to become “agnostic” presents a clear challenge to life sciences research all over the world.
Agnostic technology presents a new paradigm for data-analysis, without restrictions in formatting our data source. Tools able to process anything, without bias, without error propagation and without cutting corners are immensely helpful to researchers in well-established fields, but also open up entirely new areas of investigation.