TY - JOUR
T1 - breakpointR
T2 - an R/Bioconductor package to localize strand state changes in Strand-seq data
AU - Porubsky, David
AU - Sanders, Ashley D
AU - Taudt, Aaron
AU - Colomé-Tatché, Maria
AU - Lansdorp, Peter M
AU - Guryev, Victor
N1 - © The Author(s) (2019). Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected].
PY - 2020/2/15
Y1 - 2020/2/15
N2 - Motivation: Strand-seq is a specialized single-cell DNA sequencing technique centered around the directionality of single-stranded DNA. Computational tools for Strand-seq analyses must capture the strand-specific information embedded in these data. Results: Here we introduce breakpointR, an R/Bioconductor package specifically tailored to process and interpret single-cell strand-specific sequencing data obtained from Strand-seq. We developed breakpointR to detect local changes in strand directionality of aligned Strand-seq data, to enable fine-mapping of sister chromatid exchanges, germline inversion and to support global haplotype assembly. Given the broad spectrum of Strand-seq applications we expect breakpointR to be an important addition to currently available tools and extend the accessibility of this novel sequencing technique. Availability and implementation: R/Bioconductor package https://bioconductor.org/packages/breakpointR.
AB - Motivation: Strand-seq is a specialized single-cell DNA sequencing technique centered around the directionality of single-stranded DNA. Computational tools for Strand-seq analyses must capture the strand-specific information embedded in these data. Results: Here we introduce breakpointR, an R/Bioconductor package specifically tailored to process and interpret single-cell strand-specific sequencing data obtained from Strand-seq. We developed breakpointR to detect local changes in strand directionality of aligned Strand-seq data, to enable fine-mapping of sister chromatid exchanges, germline inversion and to support global haplotype assembly. Given the broad spectrum of Strand-seq applications we expect breakpointR to be an important addition to currently available tools and extend the accessibility of this novel sequencing technique. Availability and implementation: R/Bioconductor package https://bioconductor.org/packages/breakpointR.
U2 - 10.1093/bioinformatics/btz681
DO - 10.1093/bioinformatics/btz681
M3 - Article
C2 - 31504176
SN - 1367-4803
VL - 36
SP - 1260
EP - 1261
JO - Bioinformatics (Oxford, England)
JF - Bioinformatics (Oxford, England)
IS - 4
ER -