DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

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License: Apache Software License (apache-2.0)

Author: Robbin Bouwmeester, Niels Hulstaert, Ralf Gabriels, Prof. Lennart Martens, Prof. Sven Degroeve

Tags DeepLC, Proteomics, deep learning, peptides, retention time, prediction

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Project description

DeepLC is a retention time predictor for (modified) peptides that employs Deep Learning. It’s strength lies in the fact that it can accurately predict retention times for modified peptides, even if hasn’t seen said modification during training.

DeepLC can be run with a graphical user interface (GUI) or as a Python package. In the latter case, DeepLC can be used from the command line, or as a python module.

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Avatar for Arthur_declercq from gravatar.com Arthur_declercq Avatar for RalfG from gravatar.com RalfG Avatar for robbin from gravatar.com robbin

Unverified details

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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Apache Software License (apache-2.0)

Author: Robbin Bouwmeester, Niels Hulstaert, Ralf Gabriels, Prof. Lennart Martens, Prof. Sven Degroeve

Tags DeepLC, Proteomics, deep learning, peptides, retention time, prediction

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2.2.36

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0.1.1.dev8 pre-release

0.1.1.dev7 pre-release

0.1.1-dev6 pre-release

0.1.1-dev2 pre-release

0.1.1-dev1 pre-release

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