Author

Michele E. Clamp

Harvard University

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

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Adam H. FreedmaniD· 1 shared Timothy B. SacktoniD· 1 shared

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2020-2020 · peak 1/yr

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1 shared paperBioinformatics

Adam H. FreedmanORCID

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1 paper

Recent·Most cited

Error, noise and bias in de novo transcriptome assemblies

Adam H. Freedman, Michele E. Clamp, Timothy B. Sackton

This study shows that de novo transcriptome assemblies have systematic biases and errors, leading to underestimation of diversity and inaccurate expression estimates, and introduces a method to reduce these issues.

Molecular Ecology Resources · Mar 17, 2020Peer-reviewedBioinformatics