Author

Mats Carlsson

Swedish Institute of Computer ScienceORCID 0000-0003-3079-8095Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 1 Assay:Hi-C· 1 Approach:optimal transport· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:yeast· 1

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ANTHONY J. KUSALIKiD· 1 shared Kimberly MacKayiD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperBioinformatics

ANTHONY J. KUSALIKORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 16, 2018

SonHi-C: a set of non-procedural approaches for predicting 3D genome organization from Hi-C data

Kimberly MacKay, Mats Carlsson, ANTHONY J. KUSALIK

The paper introduces non-procedural methods for 3D genome reconstruction from Hi-C data, showing they can accurately model fission yeast genome structure.

DOI 10.1101/392407

yeastHi-C

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