AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Applying a proteogenomic approach for improving genome annotation in Leishmania panamensis using high-resolution mass spectrometry data.
The peptide-supported novel and corrected protein-coding genes identified in this study represent a valuable resource for the future exploration of candidate biomarkers and may be provide the molecular targets for improved diagnosis, prognosis, and therapeutic intervention in American tegumentary leishmaniasis.
Identification of new protein-coding potential in Leishmania donovani using a proteogenomics approach
It is demonstrated that proteogenomic integration significantly improves the accuracy of L. donovani genome annotation by resolving truncated gene models and uncovering hidden coding potential, which improve genome annotation and highlight previously unrecognised coding potential supported by peptide evidence in Leishmania donovani.