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IK
Ilya Kolb
IK
Published: Dec 02, 2023
Oligo pools can contain millions of unique sequences, but they’re limited by length, error rate, and bias. We propose methods to scalably screen synthetic DNA libraries, so an individual researcher can obtain thousands of error-free synthetic DNA assemblies at low cost.
KC
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+5
Published: Dec 02, 2023
Machine learning is a powerful tool for classifying images in a time series, such as the developmental stages of embryos. We built a classifier using only bright-field microscopy images to infer nematode embryonic stages at high throughput.
Connections
Supplements (2): Code v1.0 - GitHub • Data- Time-course images of nematode embryos - Zenodo
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IK
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Published: Mar 06, 2024
We outline a comparative approach to investigate protein function by correlating the presence or absence of a protein with species-level phenotypes. We applied this strategy to a novel actin isoform in fungi but didn’t find an association with any of the phenotypes we considered.
Connections
Supplements (2): Data - Zenodo • Code v1.0 - GitHub
KC
SC
IK
+4
Published: Jul 26, 2024
Sensory disorders are clinically common, debilitating conditions. But mouse behavioral models are often insufficient. We demonstrate that label-free, minimally-invasive brain imaging in mice could be a promising avenue for sensory research or drug discovery efforts.
Connections
Supplements (2): Code v1.0.1 - GitHub • Imaging data - Zenodo
