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Announcement

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets

In this Data Note, McFarland et al include inbred genotypic information; phenotypic, climatic, and soil measurements and metadata information from the maize genomes to fields (G2F) initiative (2014-2017).

CRISPR-Cas9-mediated labelling of the C-terminus of human laminin β1 leads to secretion inhibition

In this Research Note, Shaw et al suggest that, in humans, the addition of C-terminal Dendra2 tag to laminin β1 inhibits laminin secretion, and is not a viable approach for use in animal models.

Articles

Aims and scope

BMC Research Notes is committed to supporting the research community across all scientific and clinical disciplines by providing an inclusive open access forum for sharing valuable data and scientific observations. We welcome a range of contributions including intriguing initial observations, updates to previous work and established methods, valid negative results, and scientific data sets and descriptions. Making it easier to find, cite and share your work, we provide a platform for micro publications across all disciplines.

Negative Results - An article collection

In this collection, we are highlighting some of the negative results studies that have been published by BMC Research Notes, with more articles to be included. We welcome submissions reporting scientifically valid negative results.

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Editor
Tamara Hughes, BMC, UK

Anna Melidoni, BMC, UK

Assistant Editor
Amelia de Salis, BMC, UK

Want to publish data? Try a Data note

Data notes are a short article type for describing data, encouraging sharing, re-use and giving researchers credit for their work

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