Researchers from the UK and the US introduce a tool called TransRate, for assessing the quality of de novo transcriptome assemblies based on the assembly itself and sequenced reads with no reference. The approach assigns a diagnostic quality score for each contig before bringing these together to consider the entire score, the team explains, noting that the approach can detect common artifacts such as base errors, chimeras, structural errors, or incomplete assemblies.

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The London School of Economics' Daniele Fanelli argues at the Proceedings of the National Academy of Sciences that the reproducibility crisis in science isn't as dire as some say.

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