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1.
Nucleic Acids Res ; 49(D1): D1507-D1514, 2021 01 08.
Article in English | MEDLINE | ID: mdl-33180112

ABSTRACT

Europe PMC (https://europepmc.org) is a database of research articles, including peer reviewed full text articles and abstracts, and preprints - all freely available for use via website, APIs and bulk download. This article outlines new developments since 2017 where work has focussed on three key areas: (i) Europe PMC has added to its core content to include life science preprint abstracts and a special collection of full text of COVID-19-related preprints. Europe PMC is unique as an aggregator of biomedical preprints alongside peer-reviewed articles, with over 180 000 preprints available to search. (ii) Europe PMC has significantly expanded its links to content related to the publications, such as links to Unpaywall, providing wider access to full text, preprint peer-review platforms, all major curated data resources in the life sciences, and experimental protocols. The redesigned Europe PMC website features the PubMed abstract and corresponding PMC full text merged into one article page; there is more evident and user-friendly navigation within articles and to related content, plus a figure browse feature. (iii) The expanded annotations platform offers ∼1.3 billion text mined biological terms and concepts sourced from 10 providers and over 40 global data resources.


Subject(s)
Biological Science Disciplines/statistics & numerical data , COVID-19/prevention & control , Data Curation/statistics & numerical data , Data Mining/statistics & numerical data , Databases, Factual/statistics & numerical data , PubMed , SARS-CoV-2/isolation & purification , Biological Science Disciplines/methods , Biomedical Research/methods , Biomedical Research/statistics & numerical data , COVID-19/epidemiology , COVID-19/virology , Data Curation/methods , Data Mining/methods , Epidemics , Europe , Humans , Internet , SARS-CoV-2/physiology
2.
Article in English | MEDLINE | ID: mdl-26500249

ABSTRACT

The eMouseAtlas project has undertaken to generate a new resource providing access to high-resolution colour images of the slides used in the renowned textbook 'The Atlas of Mouse Development' by Matthew H. Kaufman. The original histology slides were digitized, and the associated anatomy annotations captured for display in the new resource. These annotations were assigned to objects in the standard reference anatomy ontology, allowing the eHistology resource to be linked to other data resources including the Edinburgh Mouse Atlas Gene-Expression database (EMAGE) an the Mouse Genome Informatics (MGI) gene-expression database (GXD). The provision of the eHistology Atlas resource was assisted greatly by the expertise of the eMouseAtlas project in delivering large image datasets within a web environment, using IIP3D technology. This technology also permits future extensions to the resource through the addition of further layers of data and annotations to the resource. Database URL: www.emouseatlas.org/emap/eHistology/index.php.


Subject(s)
Anatomy, Artistic , Atlases as Topic , Histology , Internet , Animals , Mice
3.
Development ; 142(14): 2545, 2015 Jul 15.
Article in English | MEDLINE | ID: mdl-26199410

ABSTRACT

There was an error published in Development 142, 1909-1911. Author Yogmatee Roochun was omitted. The corrected author list appears above. The authors apologise to readers for this mistake.

4.
Development ; 142(11): 1909-11, 2015 Jun 01.
Article in English | MEDLINE | ID: mdl-26015534

ABSTRACT

The Atlas of Mouse Development by Professor Mathew Kaufman is an essential text for understanding mouse developmental anatomy. This definitive and authoritative atlas is still in production and is essential for any biologist working with the mouse embryo, although the last revision dates back to 1994. Here, we announce the eHistology online resource that provides free access to high-resolution colour images digitized from the original histological sections (www.emouseatlas.org/emap/eHistology/index.php) used by Kaufman for the Atlas. The images are provided with the original annotations and plate numbering of the paper atlas and enable viewing the material to cellular resolution.


Subject(s)
Embryonic Development , Histology , Internet , Animals , Mice
5.
Methods Mol Biol ; 886: 185-201, 2012.
Article in English | MEDLINE | ID: mdl-22639262

ABSTRACT

The Genitourinary Development Molecular Atlas Project (GUDMAP) aims to document gene expression across time and space in the developing urogenital system of the mouse, and to provide access to a variety of relevant practical and educational resources. Data come from microarray gene expression profiling (from laser-dissected and FACS-sorted samples) and in situ hybridization at both low (whole-mount) and high (section) resolutions. Data are annotated to a published, high-resolution anatomical ontology and can be accessed using a variety of search interfaces. Here, we explain how to run typical queries on the database, by gene or anatomical location, how to view data, how to perform complex queries, and how to submit data.


Subject(s)
Databases, Genetic , Gene Expression Regulation, Developmental , Urogenital System/growth & development , Urogenital System/metabolism , Animals , Female , Gene Expression Profiling , In Situ Hybridization , Male , Mice , Search Engine , Software
6.
Development ; 138(13): 2845-53, 2011 Jul.
Article in English | MEDLINE | ID: mdl-21652655

ABSTRACT

The GenitoUrinary Development Molecular Anatomy Project (GUDMAP) is an international consortium working to generate gene expression data and transgenic mice. GUDMAP includes data from large-scale in situ hybridisation screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of the developing mouse genitourinary (GU) system. These expression data are annotated using a high-resolution anatomy ontology specific to the developing murine GU system. GUDMAP data are freely accessible at www.gudmap.org via easy-to-use interfaces. This curated, high-resolution dataset serves as a powerful resource for biologists, clinicians and bioinformaticians interested in the developing urogenital system. This paper gives examples of how the data have been used to address problems in developmental biology and provides a primer for those wishing to use the database in their own research.


Subject(s)
Databases, Genetic , Internet , Urogenital System/metabolism , Animals , Humans , Mice , Software , Urogenital System/growth & development
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