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Understanding how data were collected and processed is an essential element of big data biology.

Discussions about biological individuality and immunogenicity continue the long history of dialogue between philosophers and immunologists.

Drawing may be a way to better understand a biological process and to explore and develop scientific ideas.

Scientists should be aware of the non-empirical assumptions that influence all kinds of research.

To understand how regeneration works across the different scales of living systems, we first need to identify the essential components underlying this process.

Philosophy may help to explore the potential impacts of synthetic cells.

The occurrence, progression and treatment of cancer may be linked to changes in the nature of stemness.

Clear writing is the key to success in science.

Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.

An analysis of review, promotion and tenure documents from 129 US and Canadian universities suggests institutions could better fulfill their public missions by changing how they incentivize the public dimensions of faculty work.