The results suggest that current coding agents can accelerate scaffolding, documentation, and routine implementation, but they do not eliminate the need for expert review in bioinformatics workflow construction.
Paul R. Munn, Jennifer K. Grenier· bioRxiv· 0 citations
A convolutional neural network was developed, called convolutional discovery of gene anatomy using PRO-seq (CGAP), trained to identify different anatomical features of a transcription unit, which were then stitched together into transcript annotations using a hidden Markov model (HMM).
Paul R. Munn, Jay Chia, Charles G. Danko· PLoS Computational Biology· 0 citations
BLink-seq is presented, a novel Haplotagging method that is compatible with standard short-read next-generation sequencing platforms, is locally reproducible with low-cost reagents, and is scalable for high-throughput sample processing.
Azwad R Iqbal, Pavel V. Dimens, J. Rick et al.· bioRxiv· 0 citations
This work developed a convolutional neural network, called convolutional discovery of gene anatomy using PRO-seq (CGAP), trained to identify different anatomical features of a transcription unit, which were then stitched together into transcript annotations using a hidden Markov model (HMM).
Paul R. Munn, Jay Chia, Charles G. Danko· bioRxiv· 0 citations
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