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Lagerstedt I, Moore WJ, Patwardhan A, Sanz-García E, Best C, Swedlow JR, Kleywegt GJ. Web-based visualisation and analysis of 3D electron-microscopy data from EMDB and PDB. J Struct Biol 2013; 184:173-81. [PMID: 24113529 PMCID: PMC3898923 DOI: 10.1016/j.jsb.2013.09.021] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 09/24/2013] [Accepted: 09/25/2013] [Indexed: 11/25/2022]
Abstract
The Protein Data Bank in Europe (PDBe) has developed web-based tools for the visualisation and analysis of 3D electron microscopy (3DEM) structures in the Electron Microscopy Data Bank (EMDB) and Protein Data Bank (PDB). The tools include: (1) a volume viewer for 3D visualisation of maps, tomograms and models, (2) a slice viewer for inspecting 2D slices of tomographic reconstructions, and (3) visual analysis pages to facilitate analysis and validation of maps, tomograms and models. These tools were designed to help non-experts and experts alike to get some insight into the content and assess the quality of 3DEM structures in EMDB and PDB without the need to install specialised software or to download large amounts of data from these archives. The technical challenges encountered in developing these tools, as well as the more general considerations when making archived data available to the user community through a web interface, are discussed.
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Affiliation(s)
- Ingvar Lagerstedt
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, United Kingdom
| | - William J. Moore
- Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, United Kingdom
| | - Ardan Patwardhan
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, United Kingdom
| | - Eduardo Sanz-García
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, United Kingdom
| | - Christoph Best
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, United Kingdom
| | - Jason R. Swedlow
- Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, United Kingdom
| | - Gerard J. Kleywegt
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, United Kingdom
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Marabini R, Macias JR, Vargas J, Quintana A, Sorzano COS, Carazo JM. On the development of three new tools for organizing and sharing information in three-dimensional electron microscopy. ACTA CRYSTALLOGRAPHICA SECTION D: BIOLOGICAL CRYSTALLOGRAPHY 2013; 69:695-700. [DOI: 10.1107/s0907444913007038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2012] [Accepted: 03/13/2013] [Indexed: 11/10/2022]
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GenExp: an interactive web-based genomic DAS client with client-side data rendering. PLoS One 2011; 6:e21270. [PMID: 21750706 PMCID: PMC3130039 DOI: 10.1371/journal.pone.0021270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2010] [Accepted: 05/27/2011] [Indexed: 02/01/2023] Open
Abstract
Background The Distributed Annotation System (DAS) offers a standard protocol for sharing and integrating annotations on biological sequences. There are more than 1000 DAS sources available and the number is steadily increasing. Clients are an essential part of the DAS system and integrate data from several independent sources in order to create a useful representation to the user. While web-based DAS clients exist, most of them do not have direct interaction capabilities such as dragging and zooming with the mouse. Results Here we present GenExp, a web based and fully interactive visual DAS client. GenExp is a genome oriented DAS client capable of creating informative representations of genomic data zooming out from base level to complete chromosomes. It proposes a novel approach to genomic data rendering and uses the latest HTML5 web technologies to create the data representation inside the client browser. Thanks to client-side rendering most position changes do not need a network request to the server and so responses to zooming and panning are almost immediate. In GenExp it is possible to explore the genome intuitively moving it with the mouse just like geographical map applications. Additionally, in GenExp it is possible to have more than one data viewer at the same time and to save the current state of the application to revisit it later on. Conclusions GenExp is a new interactive web-based client for DAS and addresses some of the short-comings of the existing clients. It uses client-side data rendering techniques resulting in easier genome browsing and exploration. GenExp is open source under the GPL license and it is freely available at http://gralggen.lsi.upc.edu/recerca/genexp.
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Jiménez-Lozano N, Segura J, Macías JR, Vega J, Carazo JM. aGEM: an integrative system for analyzing spatial-temporal gene-expression information. ACTA ACUST UNITED AC 2009; 25:2566-72. [PMID: 19592395 PMCID: PMC2752607 DOI: 10.1093/bioinformatics/btp422] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Motivation: The work presented here describes the ‘anatomical Gene-Expression Mapping (aGEM)’ Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distributed Annotation System (DAS) protocol, which was originally designed to share genome annotations over the WWW. DAS is a client-server system in which a single client integrates information from multiple distributed servers. Results: The aGEM Platform provides information to answer three main questions. (i) Which genes are expressed in a given mouse anatomical component? (ii) In which mouse anatomical structures are a given gene or set of genes expressed? And (iii) is there any correlation among these findings? Currently, this Platform includes several well-known mouse resources (EMAGE, GXD and GENSAT), hosting gene-expression data mostly obtained from in situ techniques together with a broad set of image-derived annotations. Availability: The Platform is optimized for Firefox 3.0 and it is accessed through a friendly and intuitive display: http://agem.cnb.csic.es Contact:natalia@cnb.csic.es Supplementary information:Supplementary data are available at http://bioweb.cnb.csic.es/VisualOmics/aGEM/home.html and http://bioweb.cnb.csic.es/VisualOmics/index_VO.html and Bioinformatics online.
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Affiliation(s)
- Natalia Jiménez-Lozano
- GN7 of the National Institute for Bioinformatics and Biocomputing Unit of the National Centre for Biotechnology, Darwin 3, Campus de Cantoblanco, 28049 Madrid, Spain.
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Blankenburg H, Finn RD, Prlić A, Jenkinson AM, Ramírez F, Emig D, Schelhorn SE, Büch J, Lengauer T, Albrecht M. DASMI: exchanging, annotating and assessing molecular interaction data. ACTA ACUST UNITED AC 2009; 25:1321-8. [PMID: 19420069 PMCID: PMC2677739 DOI: 10.1093/bioinformatics/btp142] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
MOTIVATION Ever increasing amounts of biological interaction data are being accumulated worldwide, but they are currently not readily accessible to the biologist at a single site. New techniques are required for retrieving, sharing and presenting data spread over the Internet. RESULTS We introduce the DASMI system for the dynamic exchange, annotation and assessment of molecular interaction data. DASMI is based on the widely used Distributed Annotation System (DAS) and consists of a data exchange specification, web servers for providing the interaction data and clients for data integration and visualization. The decentralized architecture of DASMI affords the online retrieval of the most recent data from distributed sources and databases. DASMI can also be extended easily by adding new data sources and clients. We describe all DASMI components and demonstrate their use for protein and domain interactions. AVAILABILITY The DASMI tools are available at http://www.dasmi.de/ and http://ipfam.sanger.ac.uk/graph. The DAS registry and the DAS 1.53E specification is found at http://www.dasregistry.org/.
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Affiliation(s)
- Hagen Blankenburg
- Max Planck Institute for Informatics, Campus E 1.4, 66123 Saarbrücken, Germany
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Barrio AM, Lagercrantz E, Sperber GO, Blomberg J, Bongcam-Rudloff E. Annotation and visualization of endogenous retroviral sequences using the Distributed Annotation System (DAS) and eBioX. BMC Bioinformatics 2009; 10 Suppl 6:S18. [PMID: 19534743 PMCID: PMC2697641 DOI: 10.1186/1471-2105-10-s6-s18] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background The Distributed Annotation System (DAS) is a widely used network protocol for sharing biological information. The distributed aspects of the protocol enable the use of various reference and annotation servers for connecting biological sequence data to pertinent annotations in order to depict an integrated view of the data for the final user. Results An annotation server has been devised to provide information about the endogenous retroviruses detected and annotated by a specialized in silico tool called RetroTector. We describe the procedure to implement the DAS 1.5 protocol commands necessary for constructing the DAS annotation server. We use our server to exemplify those steps. Data distribution is kept separated from visualization which is carried out by eBioX, an easy to use open source program incorporating multiple bioinformatics utilities. Some well characterized endogenous retroviruses are shown in two different DAS clients. A rapid analysis of areas free from retroviral insertions could be facilitated by our annotations. Conclusion The DAS protocol has shown to be advantageous in the distribution of endogenous retrovirus data. The distributed nature of the protocol is also found to aid in combining annotation and visualization along a genome in order to enhance the understanding of ERV contribution to its evolution. Reference and annotation servers are conjointly used by eBioX to provide visualization of ERV annotations as well as other data sources. Our DAS data source can be found in the central public DAS service repository, , or at .
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Affiliation(s)
- Alvaro Martínez Barrio
- The Linnaeus Centre for Bioinformatics, Uppsala University, Biomedical centre, P,O, Box 598, SE-75124 Uppsala, Sweden.
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Jenkinson AM, Albrecht M, Birney E, Blankenburg H, Down T, Finn RD, Hermjakob H, Hubbard TJP, Jimenez RC, Jones P, Kähäri A, Kulesha E, Macías JR, Reeves GA, Prlić A. Integrating biological data--the Distributed Annotation System. BMC Bioinformatics 2008; 9 Suppl 8:S3. [PMID: 18673527 PMCID: PMC2500094 DOI: 10.1186/1471-2105-9-s8-s3] [Citation(s) in RCA: 78] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Distributed Annotation System (DAS) is a widely adopted protocol for dynamically integrating a wide range of biological data from geographically diverse sources. DAS continues to expand its applicability and evolve in response to new challenges facing integrative bioinformatics. RESULTS Here we describe the various infrastructure components of DAS and present a new extended version of the DAS specification. Version 1.53E incorporates several recent developments, including its extension to serve new data types and an ontology for protein features. CONCLUSION Our extensions to the DAS protocol have facilitated the integration of new data types, and our improvements to the existing DAS infrastructure have addressed recent challenges. The steadily increasing numbers of available data sources demonstrates further adoption of the DAS protocol.
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Mons B, Ashburner M, Chichester C, van Mulligen E, Weeber M, den Dunnen J, van Ommen GJ, Musen M, Cockerill M, Hermjakob H, Mons A, Packer A, Pacheco R, Lewis S, Berkeley A, Melton W, Barris N, Wales J, Meijssen G, Moeller E, Roes PJ, Borner K, Bairoch A. Calling on a million minds for community annotation in WikiProteins. Genome Biol 2008; 9:R89. [PMID: 18507872 PMCID: PMC2441475 DOI: 10.1186/gb-2008-9-5-r89] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2007] [Revised: 03/03/2008] [Indexed: 11/16/2022] Open
Abstract
WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at .
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Affiliation(s)
- Barend Mons
- Erasmus Medical Centre, Department of Medical Informatics, Rotterdam, the Netherlands.
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Smith R, Carragher B. Software tools for molecular microscopy. J Struct Biol 2008; 163:224-8. [PMID: 18406627 DOI: 10.1016/j.jsb.2008.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2008] [Revised: 03/04/2008] [Accepted: 03/04/2008] [Indexed: 10/22/2022]
Abstract
In our role as the editors of a special edition of the Journal of Structural Biology published in 1996 and devoted to the development of software tools, we offer our view of past developments and future prospects in this area. The astonishing progress in computer hardware over the past decade has fueled a significant increase in computational power available for the solution of macromolecular structures. At the same time the relatively slow growth and development of the accompanying software reflects the difficulties of developing large, complex and very specialized analytical methods.
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Affiliation(s)
- Ross Smith
- Department of Cell Biology, New York University School of Medicine, New York, NY, USA
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Prlić A, Down TA, Kulesha E, Finn RD, Kähäri A, Hubbard TJP. Integrating sequence and structural biology with DAS. BMC Bioinformatics 2007; 8:333. [PMID: 17850653 PMCID: PMC2031907 DOI: 10.1186/1471-2105-8-333] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2007] [Accepted: 09/12/2007] [Indexed: 11/16/2022] Open
Abstract
Background The Distributed Annotation System (DAS) is a network protocol for exchanging biological data. It is frequently used to share annotations of genomes and protein sequence. Results Here we present several extensions to the current DAS 1.5 protocol. These provide new commands to share alignments, three dimensional molecular structure data, add the possibility for registration and discovery of DAS servers, and provide a convention how to provide different types of data plots. We present examples of web sites and applications that use the new extensions. We operate a public registry of DAS sources, which now includes entries for more than 250 distinct sources. Conclusion Our DAS extensions are essential for the management of the growing number of services and exchange of diverse biological data sets. In addition the extensions allow new types of applications to be developed and scientific questions to be addressed. The registry of DAS sources is available at
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Affiliation(s)
- Andreas Prlić
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Thomas A Down
- Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge University, Cambridge, UK
| | - Eugene Kulesha
- European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Robert D Finn
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Andreas Kähäri
- European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Tim JP Hubbard
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
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Goddard TD, Ferrin TE. Visualization software for molecular assemblies. Curr Opin Struct Biol 2007; 17:587-95. [PMID: 17728125 PMCID: PMC2174518 DOI: 10.1016/j.sbi.2007.06.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2007] [Accepted: 06/13/2007] [Indexed: 11/16/2022]
Abstract
Software for viewing three-dimensional models and maps of viruses, ribosomes, filaments, and other molecular assemblies is advancing on many fronts. New developments include molecular representations that offer better control over level of detail, lighting that improves the perception of depth, and two-dimensional projections that simplify data interpretation. Programmable graphics processors offer quality, speed, and visual effects not previously possible, while 3D printers, haptic interaction devices, and auto-stereo displays show promise in more naturally engaging our senses. Visualization methods are developed by diverse groups of researchers with differing goals: experimental biologists, database developers, computer scientists, and package developers. We survey recent developments and problems faced by the developer community in bringing innovative visualization methods into widespread use.
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Affiliation(s)
- Thomas D Goddard
- Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158-2517, USA
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