Needs of enhancing the usability and archival stability of Bioinformatics analysis tools in “Multi-OMICS” Era

Abstract

Huge omics data have been generated from high-throughput profiling platforms. Several databases contain thousands of multiple-omics public repositories generated from diverse platforms, across many experimental conditions and sample types. The exponential growth in the number of available datasets has created many challenges to data analysis and integration, e.g., substantial coding skills are required to navigate between inputs and outputs from one platform to another, and from one dataset (genomics) to another (transcriptomics). This makes the whole process both difficult and time-consuming. In this opinion, we urge to make these workflows more accessible and useful to interpret for biologists and clinicians. Consequently, we put up some suggestions to alleviate the need for researchers to invest time and effort to strengthen the necessary computational tools advancement.