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This paper introduces an end-to-end in silico framework to validate and test clinical genome sequencing pipelines from simulated reads to reportable findings using a fixed truth set.

This study evaluates genomic foundation models for viral sequence classification, finding that NTv3-650M achieves high accuracy comparable to BLAST on standard-length sequences.

The paper presents BioCompute Objects (BCOs) as a standardized framework for communicating computational analyses, demonstrating their use in a viral detection pipeline for regulatory environments.

Mutation Maker is an open-source tool for designing mutagenic oligos in protein engineering, enabling efficient and accurate library creation for both random and directed mutagenesis.

This paper introduces DeepBGC, a deep learning method for improved biosynthetic gene cluster prediction, uncovering previously undetectable clusters with potential novel biological activities.