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Ten simple rules for funding scientific open source software

Ten simple rules for funding scientific open source software

Scientific research increasingly relies on open-source software (OSS). Funding OSS development requires an intentional focus on issues of scholarly credit, unique forms of labor, maintenance, governance, and inclusive community-building. Such issues cut across different scientific disciplines, make them of interest to a variety of funders and institutions but may present challenges in understanding generalized needs. Here we present 10 simple rules for investing in scientific OSS and the teams who build and maintain it.

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So you want to be a computational biologist?

So you want to be a computational biologist?

The term 'computational biologist' can encompass several roles, including data analyst, data curator, database developer, statistician, mathematical modeler, bioinformatician, software developer, ontologist—and many more. What's clear is that computers are now essential components of modern biological research, and scientists are being asked to adopt new skills in computational biology and master new terminology.

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Leveraging Computational Biology for Plant Agriculture

Leveraging Computational Biology for Plant Agriculture

Computational biology is an interdisciplinary branch of science that combines computer science and biology to analyze, model, and simulate biological processes. By leveraging the principles of computational biology, plant scientists can gain valuable insights into various aspects of plant agriculture. This article will explore how computational biology has been used to improve plant production, assess environmental impacts, and provide resources for data-driven decision-making.

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