Guide to Data Resources
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Ensembl Genomes: Extending Ensembl Across the Taxonomic Space P
Published online 1 November 2009 Nucleic Acids Research, 2010, Vol. 38, Database issue D563–D569 doi:10.1093/nar/gkp871 Ensembl Genomes: Extending Ensembl across the taxonomic space P. J. Kersey*, D. Lawson, E. Birney, P. S. Derwent, M. Haimel, J. Herrero, S. Keenan, A. Kerhornou, G. Koscielny, A. Ka¨ ha¨ ri, R. J. Kinsella, E. Kulesha, U. Maheswari, K. Megy, M. Nuhn, G. Proctor, D. Staines, F. Valentin, A. J. Vilella and A. Yates EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK Received August 14, 2009; Revised September 28, 2009; Accepted September 29, 2009 ABSTRACT nucleotide archives; numerous other genomes exist in states of partial assembly and annotation; thousands of Ensembl Genomes (http://www.ensemblgenomes viral genomes sequences have also been generated. .org) is a new portal offering integrated access to Moreover, the increasing use of high-throughput genome-scale data from non-vertebrate species sequencing technologies is rapidly reducing the cost of of scientific interest, developed using the Ensembl genome sequencing, leading to an accelerating rate of genome annotation and visualisation platform. data production. This not only makes it likely that in Ensembl Genomes consists of five sub-portals (for the near future, the genomes of all species of scientific bacteria, protists, fungi, plants and invertebrate interest will be sequenced; but also the genomes of many metazoa) designed to complement the availability individuals, with the possibility of providing accurate and of vertebrate genomes in Ensembl. Many of the sophisticated annotation through the similarly low-cost databases supporting the portal have been built in application of functional assays. -
Abstracts Genome 10K & Genome Science 29 Aug - 1 Sept 2017 Norwich Research Park, Norwich, Uk
Genome 10K c ABSTRACTS GENOME 10K & GENOME SCIENCE 29 AUG - 1 SEPT 2017 NORWICH RESEARCH PARK, NORWICH, UK Genome 10K c 48 KEYNOTE SPEAKERS ............................................................................................................................... 1 Dr Adam Phillippy: Towards the gapless assembly of complete vertebrate genomes .................... 1 Prof Kathy Belov: Saving the Tasmanian devil from extinction ......................................................... 1 Prof Peter Holland: Homeobox genes and animal evolution: from duplication to divergence ........ 2 Dr Hilary Burton: Genomics in healthcare: the challenges of complexity .......................................... 2 INVITED SPEAKERS ................................................................................................................................. 3 Vertebrate Genomics ........................................................................................................................... 3 Alex Cagan: Comparative genomics of animal domestication .......................................................... 3 Plant Genomics .................................................................................................................................... 4 Ksenia Krasileva: Evolution of plant Immune receptors ..................................................................... 4 Andrea Harper: Using Associative Transcriptomics to predict tolerance to ash dieback disease in European ash trees ............................................................................................................ -
The ELIXIR Core Data Resources: Fundamental Infrastructure for The
Supplementary Data: The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences The “Supporting Material” referred to within this Supplementary Data can be found in the Supporting.Material.CDR.infrastructure file, DOI: 10.5281/zenodo.2625247 (https://zenodo.org/record/2625247). Figure 1. Scale of the Core Data Resources Table S1. Data from which Figure 1 is derived: Year 2013 2014 2015 2016 2017 Data entries 765881651 997794559 1726529931 1853429002 2715599247 Monthly user/IP addresses 1700660 2109586 2413724 2502617 2867265 FTEs 270 292.65 295.65 289.7 311.2 Figure 1 includes data from the following Core Data Resources: ArrayExpress, BRENDA, CATH, ChEBI, ChEMBL, EGA, ENA, Ensembl, Ensembl Genomes, EuropePMC, HPA, IntAct /MINT , InterPro, PDBe, PRIDE, SILVA, STRING, UniProt ● Note that Ensembl’s compute infrastructure physically relocated in 2016, so “Users/IP address” data are not available for that year. In this case, the 2015 numbers were rolled forward to 2016. ● Note that STRING makes only minor releases in 2014 and 2016, in that the interactions are re-computed, but the number of “Data entries” remains unchanged. The major releases that change the number of “Data entries” happened in 2013 and 2015. So, for “Data entries” , the number for 2013 was rolled forward to 2014, and the number for 2015 was rolled forward to 2016. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences 1 Figure 2: Usage of Core Data Resources in research The following steps were taken: 1. API calls were run on open access full text articles in Europe PMC to identify articles that mention Core Data Resource by name or include specific data record accession numbers. -
The Structure and Antioxidant Properties
materials Review Recent Developments in Effective Antioxidants: The Structure and Antioxidant Properties Monika Parcheta 1 , Renata Swisłocka´ 1,* , Sylwia Orzechowska 2,3 , Monika Akimowicz 4 , Renata Choi ´nska 4 and Włodzimierz Lewandowski 1 1 Department of Chemistry, Biology and Biotechnology, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland; [email protected] (M.P.); [email protected] (W.L.) 2 Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland; [email protected] 3 M. Smoluchowski Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland 4 Prof. Waclaw Dabrowski Institute of Agriculture and Food Biotechnology–State Research Institute, Rakowiecka 36, 02-532 Warsaw, Poland; [email protected] (M.A.); [email protected] (R.C.) * Correspondence: [email protected] Abstract: Since the last few years, the growing interest in the use of natural and synthetic antioxidants as functional food ingredients and dietary supplements, is observed. The imbalance between the number of antioxidants and free radicals is the cause of oxidative damages of proteins, lipids, and DNA. The aim of the study was the review of recent developments in antioxidants. One of the crucial issues in food technology, medicine, and biotechnology is the excess free radicals reduction to obtain healthy food. The major problem is receiving more effective antioxidants. The study aimed to analyze the properties of efficient antioxidants and a better understanding of the molecular ´ Citation: Parcheta, M.; Swisłocka, R.; mechanism of antioxidant processes. Our researches and sparing literature data prove that the Orzechowska, S.; Akimowicz, M.; ligand antioxidant properties complexed by selected metals may significantly affect the free radical Choi´nska,R.; Lewandowski, W. -
Annual Scientific Report 2013 on the Cover Structure 3Fof in the Protein Data Bank, Determined by Laponogov, I
EMBL-European Bioinformatics Institute Annual Scientific Report 2013 On the cover Structure 3fof in the Protein Data Bank, determined by Laponogov, I. et al. (2009) Structural insight into the quinolone-DNA cleavage complex of type IIA topoisomerases. Nature Structural & Molecular Biology 16, 667-669. © 2014 European Molecular Biology Laboratory This publication was produced by the External Relations team at the European Bioinformatics Institute (EMBL-EBI) A digital version of the brochure can be found at www.ebi.ac.uk/about/brochures For more information about EMBL-EBI please contact: [email protected] Contents Introduction & overview 3 Services 8 Genes, genomes and variation 8 Molecular atlas 12 Proteins and protein families 14 Molecular and cellular structures 18 Chemical biology 20 Molecular systems 22 Cross-domain tools and resources 24 Research 26 Support 32 ELIXIR 36 Facts and figures 38 Funding & resource allocation 38 Growth of core resources 40 Collaborations 42 Our staff in 2013 44 Scientific advisory committees 46 Major database collaborations 50 Publications 52 Organisation of EMBL-EBI leadership 61 2013 EMBL-EBI Annual Scientific Report 1 Foreword Welcome to EMBL-EBI’s 2013 Annual Scientific Report. Here we look back on our major achievements during the year, reflecting on the delivery of our world-class services, research, training, industry collaboration and European coordination of life-science data. The past year has been one full of exciting changes, both scientifically and organisationally. We unveiled a new website that helps users explore our resources more seamlessly, saw the publication of ground-breaking work in data storage and synthetic biology, joined the global alliance for global health, built important new relationships with our partners in industry and celebrated the launch of ELIXIR. -
Impact of the Protein Data Bank Across Scientific Disciplines.Data Science Journal, 19: 25, Pp
Feng, Z, et al. 2020. Impact of the Protein Data Bank Across Scientific Disciplines. Data Science Journal, 19: 25, pp. 1–14. DOI: https://doi.org/10.5334/dsj-2020-025 RESEARCH PAPER Impact of the Protein Data Bank Across Scientific Disciplines Zukang Feng1,2, Natalie Verdiguel3, Luigi Di Costanzo1,4, David S. Goodsell1,5, John D. Westbrook1,2, Stephen K. Burley1,2,6,7,8 and Christine Zardecki1,2 1 Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ, US 2 Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, US 3 University of Central Florida, Orlando, Florida, US 4 Department of Agricultural Sciences, University of Naples Federico II, Portici, IT 5 Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, US 6 Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, US 7 Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, US 8 Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, US Corresponding author: Christine Zardecki ([email protected]) The Protein Data Bank archive (PDB) was established in 1971 as the 1st open access digital data resource for biology and medicine. Today, the PDB contains >160,000 atomic-level, experimentally-determined 3D biomolecular structures. PDB data are freely and publicly available for download, without restrictions. Each entry contains summary information about the structure and experiment, atomic coordinates, and in most cases, a citation to a corresponding scien- tific publication. -
Strategic Plan 2011-2016
Strategic Plan 2011-2016 Wellcome Trust Sanger Institute Strategic Plan 2011-2016 Mission The Wellcome Trust Sanger Institute uses genome sequences to advance understanding of the biology of humans and pathogens in order to improve human health. -i- Wellcome Trust Sanger Institute Strategic Plan 2011-2016 - ii - Wellcome Trust Sanger Institute Strategic Plan 2011-2016 CONTENTS Foreword ....................................................................................................................................1 Overview .....................................................................................................................................2 1. History and philosophy ............................................................................................................ 5 2. Organisation of the science ..................................................................................................... 5 3. Developments in the scientific portfolio ................................................................................... 7 4. Summary of the Scientific Programmes 2011 – 2016 .............................................................. 8 4.1 Cancer Genetics and Genomics ................................................................................ 8 4.2 Human Genetics ...................................................................................................... 10 4.3 Pathogen Variation .................................................................................................. 13 4.4 Malaria -
S41467-020-16549-2.Pdf
ARTICLE https://doi.org/10.1038/s41467-020-16549-2 OPEN Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN ✉ Maria Masid 1, Meric Ataman 2 & Vassily Hatzimanikatis 1 Altered metabolism is associated with many human diseases. Human genome-scale meta- bolic models (GEMs) were reconstructed within systems biology to study the biochemistry 1234567890():,; occurring in human cells. However, the complexity of these networks hinders a consistent and concise physiological representation. We present here redHUMAN, a workflow for reconstructing reduced models that focus on parts of the metabolism relevant to a specific physiology using the recently established methods redGEM and lumpGEM. The reductions include the thermodynamic properties of compounds and reactions guaranteeing the con- sistency of predictions with the bioenergetics of the cell. We introduce a method (redGEMX) to incorporate the pathways used by cells to adapt to the medium. We provide the ther- modynamic curation of the human GEMs Recon2 and Recon3D and we apply the redHUMAN workflow to derive leukemia-specific reduced models. The reduced models are powerful platforms for studying metabolic differences between phenotypes, such as diseased and healthy cells. 1 Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. 2 Computational and ✉ Systems Biology, Biozentrum, University of Basel, Basel, Switzerland. email: vassily.hatzimanikatis@epfl.ch NATURE COMMUNICATIONS | (2020)11:2821 | https://doi.org/10.1038/s41467-020-16549-2 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-16549-2 n altered metabolism is a hallmark of several human compartmentalized as Recon 2 with an additional compartment diseases, such as cancer, diabetes, obesity, Alzheimer’s, for the mitochondria intermembrane space. -
DATABASE Report April 2019 [email protected] TABLE of CONTENTS TABLE of CONTENTS
DATABASE Report April 2019 [email protected] TABLE OF CONTENTS TABLE OF CONTENTS .................................................................................................................. 2 INTRODUCTION ............................................................................................................................. 3 GENERAL OVERVIEW OF DATABASE TEAM ACTIVITIES ......................................................... 3 PUBLIC ENGAGEMENT – PROMOTING OUR RESOURCES ............................................................ 3 PUBLICATIONS ................................................................................................................................. 3 OUTREACH AND SOCIAL MEDIA ......................................................................................................... 4 THE GUIDE TO PHARMACOLOGY DATABASE (GTOPDB) ........................................................ 6 GTOPDB WEB SITE ACCESS STATISTICS ............................................................................................ 6 ACQUISITION, BROWSERS & DEVICES ............................................................................................... 7 GTOPDB CONTENT .......................................................................................................................... 8 DOWNLOAD STATISTICS ............................................................................................................... 9 SUPPLIER LINKS ........................................................................................................................... -
Pdbefold Tutorial Tutorial Pdbefold Can May Be Accessed from Multiple Locations on the Pdbe Website
PDBe TUTORIAL PDBeFold (SSM: Secondary Structure Matching) http://pdbe.org/fold/ This PDBe tutorial introduces PDBeFold, an interactive service for comparing protein structures in 3D. This service provides: . Pairwise and multiple comparison and 3D alignment of protein structures . Examination of a protein structure for similarity with the whole Protein Data Bank (PDB) archive or SCOP. Best C -alignment of compared structures . Download and visualisation of best-superposed structures using various graphical packages PDBeFold structure alignment is based on identification of residues occupying “equivalent” geometrical positions. In other words, unlike sequence alignment, residue type is neglected. The PDBeFold service is a very powerful structure alignment tool which can perform both pairwise and multiple three dimensional alignment. In addition to this there are various options by which the results of the structural alignment query can be sorted. The results of the Secondary Structure Matching can be sorted based on the Q score (Cα- alignment), P score (taking into account RMSD, number of aligned residues, number of gaps, number of matched Secondary Structure Elements and the SSE match score), Z score (based on Gaussian Statistics), RMSD and % Sequence Identity. It is hoped that at the end of this tutorial users will be able to use PDbeFold for the analysis of their own uploaded structures or entries already in the PDB archive. Protein Data Bank in Europe http://pdbe.org PDBeFOLD Tutorial Tutorial PDBeFold can may be accessed from multiple locations on the PDBe website. From the PDBe home page (http://pdbe.org/), there are two access points for the program as shown below. -
EMBL-EBI-Overview.Pdf
EMBL-EBI Overview EMBL-EBI Overview Welcome Welcome to the European Bioinformatics Institute (EMBL-EBI), a global hub for big data in biology. We promote scientific progress by providing freely available data to the life-science research community, and by conducting exceptional research in computational biology. At EMBL-EBI, we manage public life-science data on a very large scale, offering a rich resource of carefully curated information. We make our data, tools and infrastructure openly available to an increasingly data-driven scientific community, adjusting to the changing needs of our users, researchers, trainees and industry partners. This proactive approach allows us to deliver relevant, up-to-date data and tools to the millions of scientists who depend on our services. We are a founding member of ELIXIR, the European infrastructure for biological information, and are central to global efforts to exchange information, set standards, develop new methods and curate complex information. Our core databases are produced in collaboration with other world leaders including the National Center for Biotechnology Information in the US, the National Institute of Genetics in Japan, SIB Swiss Institute of Bioinformatics and the Wellcome Trust Sanger Institute in the UK. We are also a world leader in computational biology research, and are well integrated with experimental and computational groups on all EMBL sites. Our research programme is highly collaborative and interdisciplinary, regularly producing high-impact works on sequence and structural alignment, genome analysis, basic biological breakthroughs, algorithms and methods of widespread importance. EMBL-EBI is an international treaty organisation, and we serve the global scientific community. -
Human Genetics 1990–2009
Portfolio Review Human Genetics 1990–2009 June 2010 Acknowledgements The Wellcome Trust would like to thank the many people who generously gave up their time to participate in this review. The project was led by Liz Allen, Michael Dunn and Claire Vaughan. Key input and support was provided by Dave Carr, Kevin Dolby, Audrey Duncanson, Katherine Littler, Suzi Morris, Annie Sanderson and Jo Scott (landscaping analysis), and Lois Reynolds and Tilli Tansey (Wellcome Trust Expert Group). We also would like to thank David Lynn for his ongoing support to the review. The views expressed in this report are those of the Wellcome Trust project team – drawing on the evidence compiled during the review. We are indebted to the independent Expert Group, who were pivotal in providing the assessments of the Wellcome Trust’s role in supporting human genetics and have informed ‘our’ speculations for the future. Finally, we would like to thank Professor Francis Collins, who provided valuable input to the development of the timelines. The Wellcome Trust is a charity registered in England and Wales, no. 210183. Contents Acknowledgements 2 Overview and key findings 4 Landmarks in human genetics 6 1. Introduction and background 8 2. Human genetics research: the global research landscape 9 2.1 Human genetics publication output: 1989–2008 10 3. Looking back: the Wellcome Trust and human genetics 14 3.1 Building research capacity and infrastructure 14 3.1.1 Wellcome Trust Sanger Institute (WTSI) 15 3.1.2 Wellcome Trust Centre for Human Genetics 15 3.1.3 Collaborations, consortia and partnerships 16 3.1.4 Research resources and data 16 3.2 Advancing knowledge and making discoveries 17 3.3 Advancing knowledge and making discoveries: within the field of human genetics 18 3.4 Advancing knowledge and making discoveries: beyond the field of human genetics – ‘ripple’ effects 19 Case studies 22 4.