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
Hauptverfasser: Booeshaghi, A Sina, Min, Kyung Hoi (Joseph), Gehring, Jase, Pachter, Lior
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Sprache:eng
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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.
ISSN:2635-0041
2635-0041
DOI:10.1093/bioadv/vbad181