Author

Chris Rohlicek

Broad Institute

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dmitry MeleshkoiD· 1 shared Fabio CunialiD· 1 shared Iman HajirasoulihaiD· 1 shared Kiran V. GarimellaiD· 1 shared Victoria PopiciD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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1 shared paperBioinformatics

Dmitry MeleshkoORCID

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1 paper

Recent·Most cited

A deep learning framework for structural variant discovery and genotyping

Victoria Popic, Chris Rohlicek, Fabio Cunial, Kiran V. Garimella, Dmitry Meleshko, Iman Hajirasouliha

This paper introduces a deep learning framework called Cue for structural variant discovery and genotyping, showing improved performance over existing methods on synthetic and real data.

bioRxiv · Apr 30, 2022 · PreprintBioinformatics