Actual, robust bioinformatics
Actual, robust bioinformatics analyses must comprise of “machine time” and “human time”. One may automate “machine analysis” as a fast and cheap outsourcing job, but good research practice would need to be complemented with “human analysis”, as experts compare and choose suitable software tools, learn how to install/configure and execute the results, put in cleaned data and optimise, estimate the effects of fine-tuning the parameters and how it will affect the accuracy of the data. Such knowledge, resource, and infrastructure intensive gathering would require specialized experience and expertise. At this instance, it may be worthwhile to consider collaborating with Contract Research Organizations (CRO), to not only overcome the growing challenges of storing, analysing, and interpreting HTS data, but also in terms of appropriate study designs and curated downstream analysis. These independent research organisations offer more precise and targeted R&D functions for the research industry and are capable of filling in these gaps.
Omics Research: A Big Picture Approach
The advent in next-generation technology and the exponential decline in sequencing costs have indeed opened up an array of opportunities in functional genomics research; enabling the deciphering of genetic codes of all organisms. Undoubtedly, NGS technologies are pivotal in enabling the jumpstart of tremendous cutting-edge discoveries and applications such as in the field of precision medicine and oncology4, food safety5, veterinary6, agriculture7 and fisheries8. Above all, one needs to look further than just the application of HTS technologies in an Omics research. Incorporate a more holistic and inclusive approach; consider other research parameters tailored to specific research objectives and pivot more importance towards experimental design, sample collection and effective downstream data analysis for a quality omics research or ponder collaborating with an experienced partner and make life-changing discoveries together.
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- Kumar, G. & Kocour, M. (2017). Fisheries Research, 186, 11-22.
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