evSeq: Cost-Effective Amplicon Sequencing of Every Variant in a Protein Library.

Wittmann, Bruce J; Johnston, Kadina E; Almhjell, Patrick J; Arnold, Frances H

Wittmann, Bruce J; Johnston, Kadina E; Almhjell, Patrick J; Arnold, Frances H.

Affiliation

Wittmann BJ; Division of Biology and Biological Engineering, California Institute of Technology, MC 210-41, 1200 E. California Boulevard, Pasadena, California 91125, United States.
Johnston KE; Division of Biology and Biological Engineering, California Institute of Technology, MC 210-41, 1200 E. California Boulevard, Pasadena, California 91125, United States.
Almhjell PJ; Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 210-41, 1200 E. California Boulevard, Pasadena, California 91125, United States.
Arnold FH; Division of Biology and Biological Engineering, California Institute of Technology, MC 210-41, 1200 E. California Boulevard, Pasadena, California 91125, United States.

ACS Synth Biol ; 11(3): 1313-1324, 2022 03 18.

Article in En | MEDLINE | ID: mdl-35172576

Subject(s)

High-Throughput Nucleotide Sequencing; Software; Computational Biology/methods; Cost-Benefit Analysis; High-Throughput Nucleotide Sequencing/methods; Sequence Analysis, DNA/methods; Workflow

Key words

directed evolution; machine learning; next-generation sequencing; protein engineering

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / High-Throughput Nucleotide Sequencing Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: ACS Synth Biol Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States

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