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MD5: d476980cbb9afbafcc1d13b58c2f0f3a
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Comma Separated Values - 1.1 KB -
MD5: 049c34a70d0faba2471d7ccca71439fc
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Tabular Data - 114 B - 3 Variables, 5 Observations - UNF:6:HDspm4qjmdCLhQoTJ0e3EA==
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Tabular Data - 120 B - 3 Variables, 5 Observations - UNF:6:m1UTnfyPwe2B61wv0BUijg==
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Tabular Data - 116 B - 3 Variables, 5 Observations - UNF:6:ty5j0nibTslMWgXrgYJNqg==
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Tabular Data - 127 B - 3 Variables, 5 Observations - UNF:6:0fbzTL+uo1OMznyW8jKP6Q==
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Tabular Data - 84 B - 3 Variables, 4 Observations - UNF:6:8kmsg8ZZ+WEaGt//RI676A==
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Tabular Data - 80 B - 3 Variables, 4 Observations - UNF:6:bGBfA/dEJG0wWxenr4Mshw==
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Aug 2, 2024 - DBTL-Data
Hägele, Lorena; Takors, Ralf, 2024, "Getting the right clones in an automated manner: an alternative to sophisticated colony-picking robotics", https://doi.org/10.18419/DARUS-4355, DaRUS, V1
In recent years, the Design-Build-Test-Learn (DBTL) cycle has become a key concept in strain engineering. Modern biofoundries enable automated DBTL cycling using robotic devices. However, both highly automated facilities and semi-automated facilities encounter bottlenecks in clone selection and screening. While fully automated biofoundries can take... |
Aug 2, 2024 -
Getting the right clones in an automated manner: an alternative to sophisticated colony-picking robotics
MS Excel Spreadsheet - 67.9 KB -
MD5: e79133871ed8ae10573b3f7e78f3995c
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