Abstract

The reproducibility of bioinformatics analyses can be elevated to equal status with biological discovery. To achieve this, reproducibility must become part of the process, not an afterthought. Graphical Abstract Highlights • Repositories are enabling sharing of data. • Sharing analyses remains a major stumbling block for reproducibility. • Three simple steps can enable sharing analyses, with nominal effort.

Highlights

  • The reproducibility of bioinformatics analyses can be elevated to equal status with biological discovery

  • Biological discovery is not the only deliverable; reproducibility is an essential part of our research

  • Irreproducibility is not exclusive to biology, strong public interest in environmental and biomedical discoveries seems to have focused the spotlight here following a number of high-profile studies that failed to be reproduced [1,2,3,4,5,6]

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Summary

Introduction

The reproducibility of bioinformatics analyses can be elevated to equal status with biological discovery. Three simple steps can enable sharing analyses, with nominal effort. Biological discovery is not the only deliverable; reproducibility is an essential part of our research. Public trust of scientific research is affected by the clarity of published conclusions and the perceived transparency of the method.

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