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Publications

Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

Cruz AK, Alves MA, Andresson T, et al. Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors. Metabolomics : Official journal of the Metabolomic Society. 2024;20(6):125. doi:10.1007/s11306-024-02185-0

Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

Cruz AK, Alves MA, Andresson T, et al. Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors. Metabolomics : Official journal of the Metabolomic Society. 2024;20(6):125. doi:10.1007/s11306-024-02185-0

Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

Cruz AK, Alves MA, Andresson T, et al. Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors. Metabolomics : Official journal of the Metabolomic Society. 2024;20(6):125. doi:10.1007/s11306-024-02185-0

Slide-tags enables spatial single-nucleus sequencing.

Russell AJC. Slide-tags enables spatial single-nucleus sequencing. Nature reviews. Genetics. 2024. doi:10.1038/s41576-024-00797-9

Slide-tags enables spatial single-nucleus sequencing.

Russell AJC. Slide-tags enables spatial single-nucleus sequencing. Nature reviews. Genetics. 2024. doi:10.1038/s41576-024-00797-9

Slide-tags enables spatial single-nucleus sequencing.

Russell AJC. Slide-tags enables spatial single-nucleus sequencing. Nature reviews. Genetics. 2024. doi:10.1038/s41576-024-00797-9

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Anwar MY, Highland H, Buchanan VL, et al. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring, Md.). 2024;32(11):2024-2034. doi:10.1002/oby.24137

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Anwar MY, Highland H, Buchanan VL, et al. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring, Md.). 2024;32(11):2024-2034. doi:10.1002/oby.24137

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Anwar MY, Highland H, Buchanan VL, et al. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring, Md.). 2024;32(11):2024-2034. doi:10.1002/oby.24137

The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation.

, . The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation. Genetics in medicine : official journal of the American College of Medical Genetics. 2024:101228. doi:10.1016/j.gim.2024.101228