Rvbens/non-coding-DNA-classifier
Deep learning multi-label classifier of non-coding DNA sequences
This tool helps computational biologists and genetic researchers classify non-coding DNA sequences. You input raw non-coding DNA sequences, and it outputs predictions for various biological functions, such as transcription factor binding, DNase I sensitivity, and histone mark profiles. This helps researchers understand the regulatory roles of different DNA regions.
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Use this if you need to automatically assign labels to non-coding DNA sequences based on their likely biological function and want to understand which parts of a sequence contribute most to that prediction.
Not ideal if you are looking for a pre-built, user-friendly application with a graphical interface, as this project requires familiarity with Python and deep learning frameworks.
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Mar 03, 2020
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