Scientists Continue to Use Outdated Methods

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.

Written byCatherine Offord
| 8 min read

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ISTOCK, EGALWhen Lior Pachter came across one of the latest publications from the federally funded Genotype-Tissue Expression (GTEx) project, he couldn’t suppress his disappointment.

In the paper, published last October, researchers from the GTEx consortium had analyzed RNA sequencing (RNA-seq) data from more than 40 tissue types in the human body. The findings themselves were exciting, says Pachter, a computational biologist at Caltech. But a single line, tucked away in the methods section, left him feeling exasperated. The line read: “RNA-seq reads were aligned to the human genome . . . using TopHat (v1.4).”

In response, Pachter took to Twitter. “Please stop using Tophat,” he wrote in early December. “There is no reason to use it anymore.”

TopHat version 1.4 was a 2012 update to an open-source program conceived by Pachter and his colleagues in 2008 that aligns reads from RNA-seq experiments to a reference genome. Not only is ...

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Meet the Author

  • After undergraduate research with spiders at the University of Oxford and graduate research with ants at Princeton University, Catherine left arthropods and academia to become a science journalist. She has worked in various guises at The Scientist since 2016. As Senior Editor, she wrote articles for the online and print publications, and edited the magazine’s Notebook, Careers, and Bio Business sections. She reports on subjects ranging from cellular and molecular biology to research misconduct and science policy. Find more of her work at her website.

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