EMBL-EBI Now and in the Future
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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 EMBL-European Bioinformatics Institute the Hub for Bioinformatics in Europe
The EMBL-European Bioinformatics Institute The hub for bioinformatics in Europe Blaise T.F. Alako, PhD [email protected] www.ebi.ac.uk What is EMBL-EBI? • Part of the European Molecular Biology Laboratory • International, non-profit research institute • Europe’s hub for biological data, services and research The European Molecular Biology Laboratory Heidelberg Hamburg Hinxton, Cambridge Basic research Structural biology Bioinformatics Administration Grenoble Monterotondo, Rome EMBO EMBL staff: 1500 people Structural biology Mouse biology >60 nationalities EMBL member states Austria, Belgium, Croatia, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom Associate member state: Australia Who we are ~500 members of staff ~400 work in services & support >53 nationalities ~120 focus on basic research EMBL-EBI’s mission • Provide freely available data and bioinformatics services to all facets of the scientific community in ways that promote scientific progress • Contribute to the advancement of biology through basic investigator-driven research in bioinformatics • Provide advanced bioinformatics training to scientists at all levels, from PhD students to independent investigators • Help disseminate cutting-edge technologies to industry • Coordinate biological data provision throughout Europe Services Data and tools for molecular life science www.ebi.ac.uk/services Browse our services 9 What services do we provide? Labs around the -
Functional Effects Detailed Research Plan
GeCIP Detailed Research Plan Form Background The Genomics England Clinical Interpretation Partnership (GeCIP) brings together researchers, clinicians and trainees from both academia and the NHS to analyse, refine and make new discoveries from the data from the 100,000 Genomes Project. The aims of the partnerships are: 1. To optimise: • clinical data and sample collection • clinical reporting • data validation and interpretation. 2. To improve understanding of the implications of genomic findings and improve the accuracy and reliability of information fed back to patients. To add to knowledge of the genetic basis of disease. 3. To provide a sustainable thriving training environment. The initial wave of GeCIP domains was announced in June 2015 following a first round of applications in January 2015. On the 18th June 2015 we invited the inaugurated GeCIP domains to develop more detailed research plans working closely with Genomics England. These will be used to ensure that the plans are complimentary and add real value across the GeCIP portfolio and address the aims and objectives of the 100,000 Genomes Project. They will be shared with the MRC, Wellcome Trust, NIHR and Cancer Research UK as existing members of the GeCIP Board to give advance warning and manage funding requests to maximise the funds available to each domain. However, formal applications will then be required to be submitted to individual funders. They will allow Genomics England to plan shared core analyses and the required research and computing infrastructure to support the proposed research. They will also form the basis of assessment by the Project’s Access Review Committee, to permit access to data. -
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. -
Exploring the Structure and Function Paradigm Oliver C Redfern, Benoit Dessailly and Christine a Orengo
Available online at www.sciencedirect.com Exploring the structure and function paradigm Oliver C Redfern, Benoit Dessailly and Christine A Orengo Advances in protein structure determination, led by the Figure 1 shows that as the international genomics initiat- structural genomics initiatives have increased the proportion of ives gather pace, both the number of sequences and novel folds deposited in the Protein Data Bank. However, these protein families are still growing at an exponential rate, structures are often not accompanied by functional annotations although the rate of expansion of protein families is with experimental confirmation. In this review, we reassess the substantially less. This trend is also observed among meaning of structural novelty and examine its relevance domain families, which are 10-fold fewer (<10 000) than to the complexity of the structure-function paradigm. the number of protein families. By targeting these, the Recent advances in the prediction of protein function from structural genomics initiatives can aim to characterise the structure are discussed, as well as new sequence-based major building blocks of whole proteins and since these methods for partitioning large, diverse superfamilies into domains recur in different combination in the genomes, it biologically meaningful clusters. Obtaining structural data for will be an important step towards understanding the these functionally coherent groups of proteins will allow us to complete structural repertoire in nature. Furthermore, better understand the relationship between structure and the complement of molecular functions found within function. an organism is likely to be even fewer. For example, 97% of proteins in yeast can be assigned one or more of Address 4000 unique GO terms. -
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. -
EMBO Facts & Figures
excellence in life sciences Reykjavik Helsinki Oslo Stockholm Tallinn EMBO facts & figures & EMBO facts Copenhagen Dublin Amsterdam Berlin Warsaw London Brussels Prague Luxembourg Paris Vienna Bratislava Budapest Bern Ljubljana Zagreb Rome Madrid Ankara Lisbon Athens Jerusalem EMBO facts & figures HIGHLIGHTS CONTACT EMBO & EMBC EMBO Long-Term Fellowships Five Advanced Fellows are selected (page ). Long-Term and Short-Term Fellowships are awarded. The Fellows’ EMBO Young Investigators Meeting is held in Heidelberg in June . EMBO Installation Grants New EMBO Members & EMBO elects new members (page ), selects Young EMBO Women in Science Young Investigators Investigators (page ) and eight Installation Grantees Gerlind Wallon EMBO Scientific Publications (page ). Programme Manager Bernd Pulverer S Maria Leptin Deputy Director Head A EMBO Science Policy Issues report on quotas in academia to assure gender balance. R EMBO Director + + A Conducts workshops on emerging biotechnologies and on H T cognitive genomics. Gives invited talks at US National Academy E IC of Sciences, International Summit on Human Genome Editing, I H 5 D MAN 201 O N Washington, DC.; World Congress on Research Integrity, Rio de A M Janeiro; International Scienti c Advisory Board for the Centre for Eilish Craddock IT 2 015 Mammalian Synthetic Biology, Edinburgh. Personal Assistant to EMBO Fellowships EMBO Scientific Publications EMBO Gold Medal Sarah Teichmann and Ido Amit receive the EMBO Gold the EMBO Director David del Álamo Thomas Lemberger Medal (page ). + Programme Manager Deputy Head EMBO Global Activities India and Singapore sign agreements to become EMBC Associate + + Member States. EMBO Courses & Workshops More than , participants from countries attend 6th scienti c events (page ); participants attend EMBO Laboratory Management Courses (page ); rst online course EMBO Courses & Workshops recorded in collaboration with iBiology. -
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 -
Browsing Genomes with Ensembl Annotation
Browsing genomes with EnsEMBL Annotation • During recent years release of large amounts of sequence data • Raw sequence data are not so useful on its own. They are most valuable when provided with comprehensive good quality annotation CCCAACAAGAATGTAAAATCTTTAAGTGCCTGTTTTCATACTTATTTGACCACCCTATCTCTAGAATCTTGCATGATG TCTAGCCCTAGTAGGATCAAAAAATACTTACAAAGCAACTGAATAGCTACATGAATAGATGGATGAATAAATGCATG GGTGGATGGATGGATTAATGAAATCATTTATATGACTTAAAGTTTGCAGAGGAGTATCATATTTGGAAGGCAGTAAG GAAGTCTGTGTAGTCGATGGTAAAGGCAATTGGGAAGTTTGTTAGGCACAATAGGTCAAAATTTGTTTTTGAAGTCC TGTTACTTCACGTTTCTTTGTTTCACTTTCTTAAAACAGGAAACTCTTTTCTATGATCATTCTTCCAGGGCCTGGCTCT TCATCTGCAACCCAGTAATATCCCTAATGTCAAAAAGCTACTGGTTTAATTCGTGCCATTTTCAAAGAGGACTACTGA ATTCTGATGTGGCTTCAAACATTTAGGTTAGGCATATCTAATGGAGAACTTGCAGCCACACTGACTTGTAGTGAAAT ATCTATTTTGAGCCTGCCCAGTGTTGCTTAAATTGTAGTTTTCCTTGCCAGCTATTCATACAAGAGATGTGAGAAGCA CCATAAAAGGCGTTGTGAGGAGTTGTGGGGGAGTGAGGGAGAGAAGAGGTTGAAAAGCTTATTAGCTGCTGTACGG TAAAAGTGAGCTCTTACGGGAATGGGAATGTAGTTTTAGCCCTCCAGGGATTCTATTTAGCCCGCCAGGAATTAACC TTGACTATAAATAGGCCATCAATGACCTTTCCAGAGAATGTTCAGAGACCTCAACTTTGTTTAGAGATCTTGTGTGGG TGGAACTTCCTGTTTGCACACAGAGCAGCATAAAGCCCAGTTGCTTTGGGAAGTGTTTGGGACCAGATGGATTGTAG GGAGTAGGGTACAATACAGTCTGTTCTCCTCCAGCTCCTTCTTTCTGCAACATGGGGAAGAACAAACTCCTTCATCC AAGTCTGGTTCTTCTCCTCTTGGTCCTCCTGCCCACAGACGCCTCAGTCTCTGGAAAACCGTGAGTTCCACACAGAG AGCGTGAAGCATGAACCTAGAGTCCTTCATTTATTGCAGATTTTTCTTTATATCATTCCTTTTTCTTTCCTATGATACT GTCATCTTCTTATCTCTAAGATTCCTTCCAGATTTTACAAATCTAGTTTACTCATTACTTGCTTACTTTTAATCATTCT TCCCCAACTCTCTGAAGCTCTAATATGCAAAGCCTTCCTAAGGGGTGTCAGAAATTTTTAGCTTTTTAAAAGAATAAA -
The Genomic Basis of Circadian and Circalunar Timing Adaptations in a Midge Tobias S
OPEN ARTICLE doi:10.1038/nature20151 The genomic basis of circadian and circalunar timing adaptations in a midge Tobias S. Kaiser1,2,3†, Birgit Poehn1,3, David Szkiba2, Marco Preussner4, Fritz J. Sedlazeck2†, Alexander Zrim2, Tobias Neumann1,2, Lam-Tung Nguyen2,5, Andrea J. Betancourt6, Thomas Hummel3,7, Heiko Vogel8, Silke Dorner1, Florian Heyd4, Arndt von Haeseler2,3,5 & Kristin Tessmar-Raible1,3 Organisms use endogenous clocks to anticipate regular environmental cycles, such as days and tides. Natural variants resulting in differently timed behaviour or physiology, known as chronotypes in humans, have not been well characterized at the molecular level. We sequenced the genome of Clunio marinus, a marine midge whose reproduction is timed by circadian and circalunar clocks. Midges from different locations show strain-specific genetic timing adaptations. We examined genetic variation in five C. marinus strains from different locations and mapped quantitative trait loci for circalunar and circadian chronotypes. The region most strongly associated with circadian chronotypes generates strain-specific differences in the abundance of calcium/calmodulin-dependent kinase II.1 (CaMKII.1) splice variants. As equivalent variants were shown to alter CaMKII activity in Drosophila melanogaster, and C. marinus (Cma)-CaMKII.1 increases the transcriptional activity of the dimer of the circadian proteins Cma-CLOCK and Cma-CYCLE, we suggest that modulation of alternative splicing is a mechanism for natural adaptation in circadian timing. Around the new or full moon, during a few specific hours surround- Our study aimed to identify the genetic basis of C. marinus adaptation ing low tide, millions of non-biting midges of the species C. -
Statistical and Computational Methods for Analyzing High-Throughout Genomic Data
Statistical and Computational Methods for Analyzing High-Throughout Genomic Data by Jingyi Li A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Biostatistics and the Designated Emphasis in Computational and Genomic Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Peter J. Bickel, Chair Professor Haiyan Huang Professor Sandrine Dudoit Professor Steven E. Brenner Spring 2013 Statistical and Computational Methods for Analyzing High-Throughput Genomic Data Copyright 2013 by Jingyi Li 1 Abstract Statistical and Computational Methods for Analyzing High-Throughput Genomic Data by Jingyi Li Doctor of Philosophy in Biostatistics and the Designated Emphasis in Computational and Genomic Biology University of California, Berkeley Professor Peter J. Bickel, Chair In the burgeoning field of genomics, high-throughput technologies (e.g. microarrays, next-generation sequencing and label-free mass spectrometry) have enabled biologists to perform global analysis on thousands of genes, mRNAs and proteins simultaneously. Ex- tracting useful information from enormous amounts of high-throughput genomic data is an increasingly pressing challenge to statistical and computational science. In this thesis, I will address three problems in which statistical and computational methods were used to analyze high-throughput genomic data to answer important biological questions. The first part of this thesis focuses on addressing an important question in genomics: how to identify and quantify mRNA products of gene transcription (i.e., isoforms) from next- generation mRNA sequencing (RNA-Seq) data? We developed a statistical method called Sparse Linear modeling of RNA-Seq data for Isoform Discovery and abundance Estimation (SLIDE) that employs probabilistic modeling and L1 sparse estimation to answer this ques- tion.