Harnessing Protein Language Models to improve classic Local Pairwise Alignments 
for more sensitive and scalable Deep Homology Detection

Behr, C

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Harnessing Protein Language Models to improve classic Local Pairwise Alignments for more sensitive and scalable Deep Homology Detection

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Behr, C
Department Molecular Biology, Max Planck Institute for Biology Tübingen, Max Planck Society;
Computational Biology Group, Department Molecular Biology, Max Planck Institute for Biology Tübingen, Max Planck Society;

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Behr, C. (2022). Harnessing Protein Language Models to improve classic Local Pairwise Alignments for more sensitive and scalable Deep Homology Detection (Master Thesis, Ebherhard-Karls-Universität, Tübingen, Germany, 2022).

Cite as: https://hdl.handle.net/21.11116/0000-000C-974C-5

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