Expression-based species deconvolution and realignment removes misalignment error in multispecies single-cell data

Expression-based species deconvolution and realignment removes misalignment error in multispecies single-cell data

Background: Although single-cell RNA sequencing of xenograft samples has been widely used, no comprehensive bioinformatics pipeline is available for human and mouse mixed single-cell analyses. Considering the numerous homologous genes across the human and mouse genomes, misalignment errors should be...

Full description

Bibliographic Details
Main Authors: Cho, S. (Author), Choi, J. (Author), Choi, S.M (Author), Chung, J.-H (Author), Kim, J.-I (Author), Lee, C.-H (Author), Lee, W. (Author), Moon, H.-G (Author), Yang, H.-K (Author), Yoon, J.-K (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Alignment
Ambients
Bioinformatic pipeline
Bioinformatics
Bioinformatics pipeline
Cell data
Cost effectiveness
Cytology
Deconvolutions
Errors
Genes
Mapping
Misalignment errors
Multi-species
Nearest neighbor search
Patient-derived xenograft
Pipelines
RNA
Single cells
Single cells analysis
Single-cell sequencing
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items