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  • SPARK is a free, openly accessible resource for scientists studying antibiotics for Gram-negative bacteria.

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  • UNdata is an international statistical database providing search and download options for a variety of statistical resources compiled by the United Nations (UN) statistical system and other international agencies. The numerous databases or tables, collectively known as "datamarts", contain over 60 million data points and cover a wide range of statistical themes including agriculture, crime, communication, development assistance, education, energy, environment, finance, gender, health, labour market, manufacturing, national accounts, population and migration, science and technology, tourism, transport and trade.

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  • The COVID-19 host genetics initiative brings together the human genetics community to generate, share, and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity, and outcomes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.

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  • MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.

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6,952 Data sources
  • more_vert
  • SPARK is a free, openly accessible resource for scientists studying antibiotics for Gram-negative bacteria.

    more_vert
  • more_vert
  • more_vert
  • more_vert
  • UNdata is an international statistical database providing search and download options for a variety of statistical resources compiled by the United Nations (UN) statistical system and other international agencies. The numerous databases or tables, collectively known as "datamarts", contain over 60 million data points and cover a wide range of statistical themes including agriculture, crime, communication, development assistance, education, energy, environment, finance, gender, health, labour market, manufacturing, national accounts, population and migration, science and technology, tourism, transport and trade.

    more_vert
  • more_vert
  • The COVID-19 host genetics initiative brings together the human genetics community to generate, share, and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity, and outcomes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.

    more_vert
  • more_vert
  • MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.

    more_vert
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