View upcoming opportunities to connect with our community.
2020 Tri-institutional Partnership on Microbiome Research
UC San Francisco (UCSF), UC Davis (UCD) and Lawrence Berkeley National Laboratory (LBNL), have formed a Tri-Institutional Partnership on Microbiome Research to harness the collective strengths of these three outstanding institutions in human health, agriculture, environmental research, veterinary medicine, engineering, and computational science to inspire synergies across microbiome research. This networking event is intended to foster cross-institutional interaction and will be followed by a substantive seed grant opportunity supported by all three institutions. The NMDC joins this partnership along with the UCD Microbiome Special Research Program, the UCD Center for Precision Medicine and Data Sciences, The Benioff Center for Microbiome Medicine at UCSF, and UCSF Precision Medicine.
The ASA-CSSA-SSSA International Annual Meeting brings together professionals working in agronomic, crop, soil, and related sciences to hear about the latest research, meet and learn from their peers, expand their knowledge base, and take advantage of an abundance of networking opportunities to enhance their career. This year’s theme is: “2020: Translating Visionary Science to Practice”.
The 105th annual Ecological Society of America meeting encourages contributions that address big data challenges or that employ novel and integrative approaches to harnessing the data revolution to address pressing issues in ecology.
The 22nd Genomic Standards Consortium Meeting will focus on tackling metadata challenges related to the sample collection, processing and genomic sequencing workflow critical for small and large scale datasets within the fields of medical genomics, agriculture, comparative genomics, and metabolomics tackling metadata challenges related to the sample collection, processing and genomic sequencing workflow critical for small and large scale datasets. The NMDC will be represented by Chris Mungall and Lynn Schriml.