This Exhibition Introduces the Role That the Wellcome Genome Campus
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Uniprot at EMBL-EBI's Role in CTTV
Barbara P. Palka, Daniel Gonzalez, Edd Turner, Xavier Watkins, Maria J. Martin, Claire O’Donovan European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK UniProt at EMBL-EBI’s role in CTTV: contributing to improved disease knowledge Introduction The mission of UniProt is to provide the scientific community with a The Centre for Therapeutic Target Validation (CTTV) comprehensive, high quality and freely accessible resource of launched in Dec 2015 a new web platform for life- protein sequence and functional information. science researchers that helps them identify The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of therapeutic targets for new and repurposed medicines. functional information on proteins, with accurate, consistent and rich CTTV is a public-private initiative to generate evidence on the annotation. As much annotation information as possible is added to each validity of therapeutic targets based on genome-scale experiments UniProtKB record and this includes widely accepted biological ontologies, and analysis. CTTV is working to create an R&D framework that classifications and cross-references, and clear indications of the quality of applies to a wide range of human diseases, and is committed to annotation in the form of evidence attribution of experimental and sharing its data openly with the scientific community. CTTV brings computational data. together expertise from four complementary institutions: GSK, Biogen, EMBL-EBI and Wellcome Trust Sanger Institute. UniProt’s disease expert curation Q5VWK5 (IL23R_HUMAN) This section provides information on the disease(s) associated with genetic variations in a given protein. The information is extracted from the scientific literature and diseases that are also described in the OMIM database are represented with a controlled vocabulary. -
Research Framework Revised.Vp
Frontispiece: the Norfolk Rapid Coastal Zone Assessment Survey team recording timbers and ballast from the wreck of The Sheraton on Hunstanton beach, with Hunstanton cliffs and lighthouse in the background. Photo: David Robertson, copyright NAU Archaeology Research and Archaeology Revisited: a revised framework for the East of England edited by Maria Medlycott East Anglian Archaeology Occasional Paper No.24, 2011 ALGAO East of England EAST ANGLIAN ARCHAEOLOGY OCCASIONAL PAPER NO.24 Published by Association of Local Government Archaeological Officers East of England http://www.algao.org.uk/cttees/Regions Editor: David Gurney EAA Managing Editor: Jenny Glazebrook Editorial Board: Brian Ayers, Director, The Butrint Foundation Owen Bedwin, Head of Historic Environment, Essex County Council Stewart Bryant, Head of Historic Environment, Hertfordshire County Council Will Fletcher, English Heritage Kasia Gdaniec, Historic Environment, Cambridgeshire County Council David Gurney, Historic Environment Manager, Norfolk County Council Debbie Priddy, English Heritage Adrian Tindall, Archaeological Consultant Keith Wade, Archaeological Service Manager, Suffolk County Council Set in Times Roman by Jenny Glazebrook using Corel Ventura™ Printed by Henry Ling Limited, The Dorset Press © ALGAO East of England ISBN 978 0 9510695 6 1 This Research Framework was published with the aid of funding from English Heritage East Anglian Archaeology was established in 1975 by the Scole Committee for Archaeology in East Anglia. The scope of the series expanded to include all six eastern counties and responsi- bility for publication passed in 2002 to the Association of Local Government Archaeological Officers, East of England (ALGAO East). Cover illustration: The excavation of prehistoric burial monuments at Hanson’s Needingworth Quarry at Over, Cambridgeshire, by Cambridge Archaeological Unit in 2008. -
Analysis of the Impact of Sequencing Errors on Blast Using Fault Injection
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Illinois Digital Environment for Access to Learning and Scholarship Repository ANALYSIS OF THE IMPACT OF SEQUENCING ERRORS ON BLAST USING FAULT INJECTION BY SO YOUN LEE THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Computer Engineering in the Graduate College of the University of Illinois at Urbana-Champaign, 2013 Urbana, Illinois Adviser: Professor Ravishankar K. Iyer ABSTRACT This thesis investigates the impact of sequencing errors in post-sequence computational analyses, including local alignment search and multiple sequence alignment. While the error rates of sequencing technology are commonly reported, the significance of these numbers cannot be fully grasped without putting them in the perspective of their impact on the downstream analyses that are used for biological research, forensics, diagnosis of diseases, etc. I approached the quantification of the impact using fault injection. Faults were injected in the input sequence data, and the analyses were run. Change in the output of the analyses was interpreted as the impact of faults, or errors. Three commonly used algorithms were used: BLAST, SSEARCH, and ProbCons. The main contributions of this work are the application of fault injection to the reliability analysis in bioinformatics and the quantitative demonstration that a small error rate in the sequence data can alter the output of the analysis in a significant way. BLAST and SSEARCH are both local alignment search tools, but BLAST is a heuristic implementation, while SSEARCH is based on the optimal Smith-Waterman algorithm. -
Advancing Solutions to the Carbohydrate Sequencing Challenge † † † ‡ § Christopher J
Perspective Cite This: J. Am. Chem. Soc. 2019, 141, 14463−14479 pubs.acs.org/JACS Advancing Solutions to the Carbohydrate Sequencing Challenge † † † ‡ § Christopher J. Gray, Lukasz G. Migas, Perdita E. Barran, Kevin Pagel, Peter H. Seeberger, ∥ ⊥ # ⊗ ∇ Claire E. Eyers, Geert-Jan Boons, Nicola L. B. Pohl, Isabelle Compagnon, , × † Göran Widmalm, and Sabine L. Flitsch*, † School of Chemistry & Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, U.K. ‡ Institute for Chemistry and Biochemistry, Freie Universitaẗ Berlin, Takustraße 3, 14195 Berlin, Germany § Biomolecular Systems Department, Max Planck Institute for Colloids and Interfaces, Am Muehlenberg 1, 14476 Potsdam, Germany ∥ Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K. ⊥ Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States # Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States ⊗ Institut Lumierè Matiere,̀ UMR5306 UniversitéLyon 1-CNRS, Universitéde Lyon, 69622 Villeurbanne Cedex, France ∇ Institut Universitaire de France IUF, 103 Blvd St Michel, 75005 Paris, France × Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, S-106 91 Stockholm, Sweden *S Supporting Information established connection between their structure and their ABSTRACT: Carbohydrates possess a variety of distinct function, full characterization of unknown carbohydrates features with -
100000 Genomes and Genomics England
100,000 Genomes & Genomics England Tim Hubbard Genomics England King’s College London, King’s Health Partners Wellcome Trust Sanger Institute Global Leaders in Genomic Medicine Washington 8-9th January 2014 UK Health System 101 • Four separate health services – NHS England – NHS Wales – NHS Scotland – Health & Social Care in Northern Ireland (HSC) • NHS (England) – ~1.4 million employees – ~£110 billion annual budget • Structure in England changed 1st April 2013 https://www.gov.uk/government/organisations/department-of-health Linking Health data to Research Clinical Data Healthcare Professional World Genotype Electronic Health Record Whole Genome Sequencing Phenotype Electronic Genomic Biology Health Data World Records Reference Genotype and genome sequence Phenotype ~3 gigabytes relationship capture EBI: repositories (petabytes of genome sequence data) Human sequence data Sanger: sequencing repositories (1000 genomes, uk10K) Steps in UK towards E-Health Research, Genomic Medicine • Health data to Research – 2006 Creation of OSCHR • Increase coordination between funders: MRC and NIHR – 2007 OSCHR E-health board • Enable research access to UK EHR data • Build capacity for research on EHR data • Genomics to Health – 2009 House of Lords report on Genomic Medicine – 2010 Creation of Human Genomic Strategy Group (HGSG) 2011: UK Life Sciences Strategy No10: http://www.number10.gov.uk/news/uk-life-sciences-get-government-cash-boost/ BIS/DH: http://www.dh.gov.uk/health/2011/12/nhs-adopting-innovation/ Linking Health data to Research Clinical Data -
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. -
Genomics England and Sciencewise Evaluation of a Public Dialogue On
Genomics England and Sciencewise Evaluation of a public dialogue on Genomic Medicine: Time for a new social contract? Evaluation report June 2019 Quality Management URSUS Consulting Ltd has quality systems which have been assessed and approved to BS EN IS9001:2008 (certificate number GB2002687). Creation / Revision History Issue / revision: 3 Date: 19/6/2019 Prepared by: Anna MacGillivray Authorised by: Anna MacGillivray Project number: U.158 File reference: Genomics England/genomic medicine draft evaluation report 19.6.2019 URSUS CONSULTING LTD 57 Balfour Road London N5 2HD Tel. 07989 554 504 www.ursusconsulting.co.uk _________________________________________________________________________________________ URSUS CONSULTING GENOMICS ENGLAND AND SCIENCEWISE 2 Glossary of Acronyms ABI Association of British Insurers AI Artificial Intelligence APBI Association of British Pharmaceutical Industry BEIS (Department of) Business, Energy and Industrial Strategy BME Black and Minority Ethnic CMO Chief Medical Officer CSO (NHS) Chief Scientific Officer DA Devolved Administration DHSC Department of Health and Social Care FTE Full Time Equivalent GDPR General Data Protection Regulation GE Genomics England GG Generation Genome report GMS Genomic medicine service GMC General Medical Council NHS National Health Service OG Oversight Group REA Rapid Evidence Assessment SEG Socio economic group SGP Scottish Genomes Partnership SoS Secretary of State SSAC Scottish Science Advisory Committee SLT Senior Leadership Team UKRI UK Research and Innovation WGS Whole Genome Sequencing _________________________________________________________________________________________ URSUS CONSULTING GENOMICS ENGLAND AND SCIENCEWISE 3 EXECUTIVE SUMMARY Introduction This report of the independent evaluation of a public dialogue on Genomic Medicine: Time for a new social contract? has been prepared by URSUS Consulting Ltd on behalf of Genomics England (GE) and Sciencewise1. -
Locations of Horseheath Records
Locations of Horseheath records Part of Horseheath Village Archives Locations of Horseheath records Cambridgeshire Archives and Local Studies Office Formerly Cambridge Record Office, this holds census, church and parish records along with over 300 other items concerning Horseheath. It is located in the Cambridgeshire County Council Offices, Shire Hall, Castle Street, Castle Hill, Cambridge CB3 0AP Tel.01223 699 399 The Cambridgeshire Collection This is located within the Cambridge Central Library and contains a wide variety of information relating to Cambridgeshire and its people. It includes books, pamphlets, magazines, maps from 1574, illustrations from the 17 th c, newspapers from 1762, press cuttings from 1960 and ephemera of all kinds. The Cambridge Antiquarian Society Photographic Archive is held in the Cambridgeshire Collection, as is the studio portrait archive of the former Cambridge photographers J Palmer Clarke and Ramsey and Muspratt. Family historians have access to many sources listing former residents of the county; directories, electoral rolls, poll books, parish register transcripts, etc. Cambridge University Library List follows. Cemeteries The Monumental Inscriptions in the graveyard of All Saints from the 15th century-1981 are recorded in Cambridgeshire Archives and Local Studies in the Council Offices, Shire Hall, Castle Hill. A copy of the original manuscript of ‘Inscriptions on gravestones and internal monuments’, by Catherine Parsons, 1897 appears in the @all Saints’ Church sewction of Horseheath Village Archives. Census The Census Records from 1841-1911 can be found in the Cambridgeshire Archives and Local Studies Office and at the Family Records Centre in London (see below). The 1881 Census is available in searchable form on www.familysearch.org. -
Cambridgeshire Archaeology JIGSAW “Piecing Together Cambridgeshire’S Past
Cambridgeshire County Council JIGSAW Project Final report 2007 Cambridgeshire Archaeology JIGSAW “piecing together Cambridgeshire’s Past Final Report April 2007 Prepared By The Market Research Group (MRG), Bournemouth University, On Behalf Of Cambridgeshire County Council www.themarketresearchgroup.co.uk Page a Cambridgeshire County Council JIGSAW Project Final report 2007 Contents Executive Summary ........................................................................ 1 1.0: Background .............................................................................. 3 1.1: The Market Research Group (MRG)........................................ 3 1.2: Cambridgeshire County Council .............................................. 4 2.0: Research Aims & Objectives................................................... 6 3.0: Outline Methodology................................................................ 8 3.1: Audience Research - Existing Users ....................................... 8 3.2: Audience Research - Potential Users ...................................... 9 3.3: Audience Research – JIGSAW Focus Groups ...................... 11 4.0: Findings –Cambridgeshire Archaeology users results...... 12 5.0: Findings – Potential users or non user survey ................... 39 6.0: Findings – Castle celebration event (non users) ................ 79 7.0: Findings - Schools – qualitative results............................. 101 8.0: Findings – Focus group results.......................................... 116 8.1: Users and non users focus groups -
"Phylogenetic Analysis of Protein Sequence Data Using The
Phylogenetic Analysis of Protein Sequence UNIT 19.11 Data Using the Randomized Axelerated Maximum Likelihood (RAXML) Program Antonis Rokas1 1Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee ABSTRACT Phylogenetic analysis is the study of evolutionary relationships among molecules, phenotypes, and organisms. In the context of protein sequence data, phylogenetic analysis is one of the cornerstones of comparative sequence analysis and has many applications in the study of protein evolution and function. This unit provides a brief review of the principles of phylogenetic analysis and describes several different standard phylogenetic analyses of protein sequence data using the RAXML (Randomized Axelerated Maximum Likelihood) Program. Curr. Protoc. Mol. Biol. 96:19.11.1-19.11.14. C 2011 by John Wiley & Sons, Inc. Keywords: molecular evolution r bootstrap r multiple sequence alignment r amino acid substitution matrix r evolutionary relationship r systematics INTRODUCTION the baboon-colobus monkey lineage almost Phylogenetic analysis is a standard and es- 25 million years ago, whereas baboons and sential tool in any molecular biologist’s bioin- colobus monkeys diverged less than 15 mil- formatics toolkit that, in the context of pro- lion years ago (Sterner et al., 2006). Clearly, tein sequence analysis, enables us to study degree of sequence similarity does not equate the evolutionary history and change of pro- with degree of evolutionary relationship. teins and their function. Such analysis is es- A typical phylogenetic analysis of protein sential to understanding major evolutionary sequence data involves five distinct steps: (a) questions, such as the origins and history of data collection, (b) inference of homology, (c) macromolecules, developmental mechanisms, sequence alignment, (d) alignment trimming, phenotypes, and life itself. -
EMBL-EBI Powerpoint Presentation
Processing data from high-throughput sequencing experiments Simon Anders Use-cases for HTS · de-novo sequencing and assembly of small genomes · transcriptome analysis (RNA-Seq, sRNA-Seq, ...) • identifying transcripted regions • expression profiling · Resequencing to find genetic polymorphisms: • SNPs, micro-indels • CNVs · ChIP-Seq, nucleosome positions, etc. · DNA methylation studies (after bisulfite treatment) · environmental sampling (metagenomics) · reading bar codes Use cases for HTS: Bioinformatics challenges Established procedures may not be suitable. New algorithms are required for · assembly · alignment · statistical tests (counting statistics) · visualization · segmentation · ... Where does Bioconductor come in? Several steps: · Processing of the images and determining of the read sequencest • typically done by core facility with software from the manufacturer of the sequencing machine · Aligning the reads to a reference genome (or assembling the reads into a new genome) • Done with community-developed stand-alone tools. · Downstream statistical analyis. • Write your own scripts with the help of Bioconductor infrastructure. Solexa standard workflow SolexaPipeline · "Firecrest": Identifying clusters ⇨ typically 15..20 mio good clusters per lane · "Bustard": Base calling ⇨ sequence for each cluster, with Phred-like scores · "Eland": Aligning to reference Firecrest output Large tab-separated text files with one row per identified cluster, specifying · lane index and tile index · x and y coordinates of cluster on tile · for each -
Dr Sophia Skyers Director, CIBS IQ Research
CIBS IQ Research Inclusion by Dialogue and Design 100,000 Genomes Project Black African and Black Caribbean Communities A Qualitative Exploration of Views on Participation Report Author: Dr Sophia Skyers Director, CIBS IQ Research June 2018 Acknowledgements Dr Sophia Skyers, the author, would like to thank all of the focus group participants, event attendees and radio panel members for the invaluable contribution that they have made to informing this report and to shaping its recommendations. The participation of the community and the critical exchange of views is vitally important, and projects such as these cannot be undertaken without that active engagement. The author would also like to thank Can-Survive UK, BME Cancer Communities, Genomics England, and all of the healthcare professionals, geneticists, genetics researchers, and stakeholders from a range of organisations for sharing their knowledge, experience and insights so openly, and to Dr Rohan Morris for sharing his experience on ethnicity and access in relation to clinical research. 2 Table of Contents Executive Summary 4 100,000 Genomes Project 4 1. Introduction and background 9 2. About the 100,000 Genomes Project 9 3. Purpose and approach to conducting the study 13 4. Discussion oF Findings 15 a) Interviews with stakeholders 15 b) Focus groups, awareness-raising events and media campaigns 24 5. Conclusion, synthesis and recommendations 38 Appendix A – Focus Groups 41 Appendix B – Awareness Raising Events and Radio Campaigns 42 Appendix B – Stakeholder Interviews 43 Appendix B – ReFerences 44 3 Executive Summary 100,000 Genomes Project The 100,000 Genomes Project is aiming to sequence 100,000 whole genomes from approximately 70,000 consented NHS patients in the UK with all types of cancer, and rare diseases, as well as patients’ family members, as these diseases are strongly linked to changes in the genome.