Your browser doesn't support javascript.
loading
Quantifying orthogonal barcodes for sequence census assays.
Booeshaghi, A Sina; Min, Kyung Hoi Joseph; Gehring, Jase; Pachter, Lior.
Afiliação
  • Booeshaghi AS; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, United States.
  • Min KHJ; Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
  • Gehring J; Arcadia Science, Berkeley, CA 94702, United States.
  • Pachter L; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, United States.
Bioinform Adv ; 4(1): vbad181, 2024.
Article em En | MEDLINE | ID: mdl-38213823
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinform Adv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinform Adv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos