AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data

AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data

Abstract Detecting multiplets in single nucleus (sn)ATAC-seq data is challenging due to data sparsity and limited dynamic range. AMULET (ATAC-seq MULtiplet Estimation Tool) enumerates regions with greater than two uniquely aligned reads across the genome to effectively detect multiplets. We evaluate...

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Bibliographic Details
Main Authors: Asa Thibodeau, Alper Eroglu, Christopher S. McGinnis, Nathan Lawlor, Djamel Nehar-Belaid, Romy Kursawe, Radu Marches, Daniel N. Conrad, George A. Kuchel, Zev J. Gartner, Jacques Banchereau, Michael L. Stitzel, A. Ercument Cicek, Duygu Ucar
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Genome Biology
Subjects:
Multiplets
Doublets
Single nucleus ATAC-seq
snATAC-seq
Online Access:https://doi.org/10.1186/s13059-021-02469-x

Internet

https://doi.org/10.1186/s13059-021-02469-x

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