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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESR01

Developing the Apollo software for high-throughput annotation of multiple genomes

Active
Institution
UNIVERSITY OF CALIFORNIA BERKELEY, CA
Principal investigator
Ian H Holmes
Funding
$414K
Duration
2007–2027
Open portfolio

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Abstract

Genome sequencing is becoming cheaper and more powerful. However, a bottleneck to scientific progress using these data is the generation of high-quality genome annotations, describing the location and function of the genes in genomic DNA. In the past, these annotations were generated exclusively by professional biocurators, and these biocurators continue to be a critical source of expertise. However, the number of such biocurators is small compared to the amount of genomic DNA that is available. In recent years, professional biocuration has been supplemented by a growing volunteer force of interested biologists, each generally interested in one or two genes of interest. Although genome annotation is often done in bulk using computational tools, there is currently no substitute for a final pass of manual annotation. This is most commonly done using our Apollo software, which allows for live simultaneous collaborative annotation over the web. Our proposal here is to improve Apollo so as to empower both professional biocurators and crowdsourcing volunteers. We will empower professional biocurators by giving them the power tools they need to simultaneously annotate multiple genomes (by exploiting synteny), annotate variants, and annotate the function of genes. We will empower the crowdsourcing volunteers by lowering barriers to entry, making Apollo more usable. For all users we will train machine learning systems to automatically detect common annotation errors and suggest improvements. We will support Apollo users with maintenance, bugfixing, and various feature requests, as well as extensive outreach including outreach to developers.

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R01NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESBiodata Management and Analysis Study Section[BDMA]crowdsourcingannotationempowervolunteersannotateapollogenomic dnaannotations

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