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...
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: | |
Online Access: | https://doi.org/10.1186/s13059-021-02469-x |
Similar Items
-
GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
by: Mayur Divate, et al.
Published: (2018-07-01) -
Single-Nucleus Chromatin Accessibility Landscape Reveals Diversity in Regulatory Regions Across Distinct Adult Rat Cortex
by: Yeya Yu, et al.
Published: (2021-05-01) -
Robust Identification of Developmentally Active Endothelial Enhancers in Zebrafish Using FANS-Assisted ATAC-Seq
by: Aurelie Quillien, et al.
Published: (2017-07-01) -
simATAC: a single-cell ATAC-seq simulation framework
by: Zeinab Navidi, et al.
Published: (2021-03-01) -
A Multiple Comprehensive Analysis of scATAC-seq Based on Auto-Encoder and Matrix Decomposition
by: Yuyao Huang, et al.
Published: (2021-08-01)