Paten Lab

Paten Lab
Name	Paten Lab
Established	2010s
Focus	Comparative genomics; bioinformatics; evolutionary biology
Head	[Not linked per instructions]
Affiliation	[Not linked per instructions]
Location	[Not linked per instructions]

Paten Lab is a research group specializing in comparative genomics, algorithmic bioinformatics, and evolutionary analysis. The group is noted for developing scalable sequence alignment, graph-based genome representation, and tools for structural variant discovery used across genomics consortia and institutions. Researchers from the lab have contributed methods adopted by teams working with large-scale projects and model organism communities.

History

The lab traces its origins to computational biology efforts driven by academic centers and research initiatives such as the Human Genome Project, the 1000 Genomes Project, and the rise of high-throughput sequencing platforms like those from Illumina and Pacific Biosciences. Early work intersected with methods developed in groups associated with Broad Institute, University of California, Santa Cruz, Wellcome Sanger Institute, European Bioinformatics Institute, and contractors to agencies including National Institutes of Health and European Research Council programs. During formative years the lab interacted with investigators connected to projects such as ENCODE Project, Functional Annotation of the Mammalian Genome (FANTOM), and community efforts around the Genome Reference Consortium. Personnel movements linked the lab to faculty and staff from institutions like Stanford University, Massachusetts Institute of Technology, University of California, Berkeley, and private-sector teams at Google and Microsoft Research. As sequencing diversity expanded through initiatives like All of Us Research Program and regional initiatives in China, United Kingdom, and Australia, the lab shifted focus toward pan-genome representations and cross-species comparisons.

Research and Contributions

The lab has produced algorithms and software addressing genome alignment, pan-genome graphs, and comparative annotation, impacting projects at organizations such as Genome in a Bottle, Human Pangenome Reference Consortium, International HapMap Project, Mouse Genome Informatics, and Zoonomia Project. Contributions include methods for multiple-genome alignment applied to vertebrate and plant clades studied by groups at National Center for Biotechnology Information, Cold Spring Harbor Laboratory, and Max Planck Institute for Evolutionary Anthropology. Work from the lab has informed analyses used in studies published alongside authors from journals and publishers like Nature, Science, Cell, Genome Research, and PLOS Genetics. Collaborators from the lab have advised consortia including Global Alliance for Genomics and Health and participate in standards discussions involving Genomic Standards Consortium and data repositories managed by European Nucleotide Archive and Sequence Read Archive.

Methodologies and Technologies

The lab emphasizes graph-based representations of genomes inspired by computational formalisms arising from conferences such as RECOMB and ISMB. Techniques developed integrate methods from algorithmic fields connected to work at Stanford Linear Accelerator Center (SLAC)-affiliated groups, and draw on software engineering practices used at GitHub and Apache Software Foundation projects. The toolset includes scalable aligners, variant callers, and visualization components used with long-read technologies from Pacific Biosciences and Oxford Nanopore Technologies as well as short-read data from Illumina. Methodological foundations relate to sequence comparison approaches rooted in earlier work at Wellcome Trust Sanger Institute and algorithmic paradigms discussed at ACM Symposium on Theory of Computing and IEEE International Conference on Bioinformatics and Biomedicine. Computational pipelines have been benchmarked against standards defined by GIAB-aligned resources and compared in competitions hosted by Assemblathon and performance challenges at Critical Assessment of Metagenome Interpretation (CAMI).

Collaborations and Partnerships

The lab maintains collaborations with academic partners including University of Oxford, Harvard University, Yale University, Johns Hopkins University, University of Cambridge, and international institutes such as Institut Pasteur and Riken. Industrial engagements involve partnerships or interactions with companies like Illumina, Pacific Biosciences, Oxford Nanopore Technologies, Google DeepMind, and cloud platforms provided by Amazon Web Services and Google Cloud Platform. The lab contributes to multi-institution consortia such as the Human Pangenome Reference Consortium, working alongside teams at Broad Institute, Wellcome Sanger Institute, European Bioinformatics Institute, and regional genomics centers. Cross-disciplinary ties extend to structural biology groups at European Molecular Biology Laboratory and population genetics teams connected to Max Planck Institute for Evolutionary Biology.

Funding and Grants

Support for the lab’s programs has come from major funders including grants and awards from National Institutes of Health, National Science Foundation, European Research Council, Wellcome Trust, and private foundations such as Gordon and Betty Moore Foundation and Chan Zuckerberg Initiative. Project-level funding has aligned with initiatives like the Human Cell Atlas, regional genome projects funded by national research councils in United Kingdom, United States, Germany, and Japan, and infrastructure awards supporting cloud and compute credits from providers associated with NIH Cloud Credits Model. Collaborative grants have been awarded under mechanisms administered by agencies including Medical Research Council and thematic programs of the European Commission.

Impact and Recognition

Work from the lab has been cited in high-impact publications and integrated into community toolkits adopted by groups maintaining references at Genome Reference Consortium, by model organism databases such as WormBase and FlyBase, and by large-scale comparative initiatives like the Vertebrate Genomes Project. The lab’s software and methods have been recognized in presentations at venues including American Society of Human Genetics and Gordon Research Conferences, and personnel have received invitations to workshops convened by National Academies of Sciences, Engineering, and Medicine. Contributions have influenced best practices adopted in pipelines used by organizations such as Centers for Disease Control and Prevention and in translational projects at academic medical centers including Mayo Clinic and Mount Sinai Health System.

Category:Genomics research labs