Quantifying orthogonal barcodes for sequence census assays
Abstract Summary Barcode-based sequence census assays utilize custom or random oligonucloetide sequences to label various biological features, such as cell-surface proteins or CRISPR perturbations. These assays all rely on barcode quantification, a task that is complicated by barcode design and tech...
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Veröffentlicht in: | Bioinformatics advances 2024, Vol.4 (1), p.vbad181-vbad181 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Abstract
Summary
Barcode-based sequence census assays utilize custom or random oligonucloetide sequences to label various biological features, such as cell-surface proteins or CRISPR perturbations. These assays all rely on barcode quantification, a task that is complicated by barcode design and technical noise. We introduce a modular approach to quantifying barcodes that achieves speed and memory improvements over existing tools. We also introduce a set of quality control metrics, and accompanying tool, for validating barcode designs.
Availability and implementation
https://github.com/pachterlab/kb_python, https://github.com/pachterlab/qcbc. |
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ISSN: | 2635-0041 2635-0041 |
DOI: | 10.1093/bioadv/vbad181 |