EMBL-EBI Annual Scientific Report 2008
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Improving the Prediction of Transcription Factor Binding Sites To
Improving the prediction of transcription factor binding sites to aid the interpretation of non-coding single nucleotide variants. Narayan Jayaram Research Department of Structural and Molecular Biology University College London A thesis submitted to University College London for the degree of Doctor of Philosophy 1 Declaration I, Narayan Jayaram confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Narayan Jayaram 2 Abstract Single nucleotide variants (SNVs) that occur in transcription factor binding sites (TFBSs) can disrupt the binding of transcription factors and alter gene expression which can cause inherited diseases and act as driver SNVs in cancer. The identification of SNVs in TFBSs has historically been challenging given the limited number of experimentally characterised TFBSs. The recent ENCODE project has resulted in the availability of ChIP-Seq data that provides genome wide sets of regions bound by transcription factors. These data have the potential to improve the identification of SNVs in TFBSs. However, as the ChIP-Seq data identify a broader range of DNA in which a transcription factor binds, computational prediction is required to identify the precise TFBS. Prediction of TFBSs involves scanning a DNA sequence with a Position Weight Matrix (PWM) using a pattern matching tool. This thesis focusses on the prediction of TFBSs by: (a) evaluating a set of locally-installable pattern-matching tools and identifying the best performing tool (FIMO), (b) using the ENCODE ChIP-Seq data to evaluate a set of de novo motif discovery tools that are used to derive PWMs which can handle large volumes of data, (c) identifying the best performing tool (rGADEM), (d) using rGADEM to generate a set of PWMs from the ENCODE ChIP-Seq data and (e) by finally checking that the selection of the best pattern matching tool is not unduly influenced by the choice of PWMs. -
Applied Category Theory for Genomics – an Initiative
Applied Category Theory for Genomics { An Initiative Yanying Wu1,2 1Centre for Neural Circuits and Behaviour, University of Oxford, UK 2Department of Physiology, Anatomy and Genetics, University of Oxford, UK 06 Sept, 2020 Abstract The ultimate secret of all lives on earth is hidden in their genomes { a totality of DNA sequences. We currently know the whole genome sequence of many organisms, while our understanding of the genome architecture on a systematic level remains rudimentary. Applied category theory opens a promising way to integrate the humongous amount of heterogeneous informations in genomics, to advance our knowledge regarding genome organization, and to provide us with a deep and holistic view of our own genomes. In this work we explain why applied category theory carries such a hope, and we move on to show how it could actually do so, albeit in baby steps. The manuscript intends to be readable to both mathematicians and biologists, therefore no prior knowledge is required from either side. arXiv:2009.02822v1 [q-bio.GN] 6 Sep 2020 1 Introduction DNA, the genetic material of all living beings on this planet, holds the secret of life. The complete set of DNA sequences in an organism constitutes its genome { the blueprint and instruction manual of that organism, be it a human or fly [1]. Therefore, genomics, which studies the contents and meaning of genomes, has been standing in the central stage of scientific research since its birth. The twentieth century witnessed three milestones of genomics research [1]. It began with the discovery of Mendel's laws of inheritance [2], sparked a climax in the middle with the reveal of DNA double helix structure [3], and ended with the accomplishment of a first draft of complete human genome sequences [4]. -
A Community Proposal to Integrate Structural
F1000Research 2020, 9(ELIXIR):278 Last updated: 11 JUN 2020 OPINION ARTICLE A community proposal to integrate structural bioinformatics activities in ELIXIR (3D-Bioinfo Community) [version 1; peer review: 1 approved, 3 approved with reservations] Christine Orengo1, Sameer Velankar2, Shoshana Wodak3, Vincent Zoete4, Alexandre M.J.J. Bonvin 5, Arne Elofsson 6, K. Anton Feenstra 7, Dietland L. Gerloff8, Thomas Hamelryck9, John M. Hancock 10, Manuela Helmer-Citterich11, Adam Hospital12, Modesto Orozco12, Anastassis Perrakis 13, Matthias Rarey14, Claudio Soares15, Joel L. Sussman16, Janet M. Thornton17, Pierre Tuffery 18, Gabor Tusnady19, Rikkert Wierenga20, Tiina Salminen21, Bohdan Schneider 22 1Structural and Molecular Biology Department, University College, London, UK 2Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, CB10 1SD, UK 3VIB-VUB Center for Structural Biology, Brussels, Belgium 4Department of Oncology, Lausanne University, Swiss Institute of Bioinformatics, Lausanne, Switzerland 5Bijvoet Center, Faculty of Science – Chemistry, Utrecht University, Utrecht, 3584CH, The Netherlands 6Science for Life Laboratory, Stockholm University, Solna, S-17121, Sweden 7Dept. Computer Science, Center for Integrative Bioinformatics VU (IBIVU), Vrije Universiteit, Amsterdam, 1081 HV, The Netherlands 8Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, L-4367, Luxembourg 9Bioinformatics center, Department of Biology, University of Copenhagen, Copenhagen, DK-2200, -
SD Gross BFI0403
Janet Thornton Bioinformatician avant la lettre Michael Gross B ioinformatics is very much a buzzword of our time, with new courses and institutes dedicated to it sprouting up almost everywhere. Most significantly, the flood of genome data has raised the gen- eral awareness of the need to deve-lop new computational approaches to make sense of all the raw information collected. Professor Janet Thornton, the current director of the European Bioinformatics Institute (EBI), an EMBL outpost based at the Hinxton campus near Cambridge, has been in the field even before there was a word for it. Coming to structural biology with a physics degree from the University of Nottingham, she was already involved with computer-generated structural im- ages in the 1970s, when personal comput- ers and user-friendly programs had yet to be invented. The Early Years larities. Within 15 minutes, the software From there to the EBI, her remarkable Janet Thornton can check all 2.4 billion possible re- career appears to be organised in lationships and pick the ones relevant decades. During the 1970s, she did doc- software to compare structures to each to the question at hand. In comparison toral and post-doctoral research at other, recognise known folds and spot to publicly available bioinformatics the Molecular Biophysics Laboratory in new ones. Such work provides both packages such as Blast or Psiblast, Oxford and at the National Institute for fundamental insights into the workings Biopendium can provide an additional Medical Research in Mill Hill, near Lon- of evolution on a molecular level, and 30 % of annotation, according to Inphar- don. -
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. -
Easybuild Documentation Release 20210907.0
EasyBuild Documentation Release 20210907.0 Ghent University Tue, 07 Sep 2021 08:55:41 Contents 1 What is EasyBuild? 3 2 Concepts and terminology 5 2.1 EasyBuild framework..........................................5 2.2 Easyblocks................................................6 2.3 Toolchains................................................7 2.3.1 system toolchain.......................................7 2.3.2 dummy toolchain (DEPRECATED) ..............................7 2.3.3 Common toolchains.......................................7 2.4 Easyconfig files..............................................7 2.5 Extensions................................................8 3 Typical workflow example: building and installing WRF9 3.1 Searching for available easyconfigs files.................................9 3.2 Getting an overview of planned installations.............................. 10 3.3 Installing a software stack........................................ 11 4 Getting started 13 4.1 Installing EasyBuild........................................... 13 4.1.1 Requirements.......................................... 14 4.1.2 Using pip to Install EasyBuild................................. 14 4.1.3 Installing EasyBuild with EasyBuild.............................. 17 4.1.4 Dependencies.......................................... 19 4.1.5 Sources............................................. 21 4.1.6 In case of installation issues. .................................. 22 4.2 Configuring EasyBuild.......................................... 22 4.2.1 Supported configuration -
Deep Profiling of Protease Substrate Specificity Enabled by Dual Random and Scanned Human Proteome Substrate Phage Libraries
Deep profiling of protease substrate specificity enabled by dual random and scanned human proteome substrate phage libraries Jie Zhoua, Shantao Lib, Kevin K. Leunga, Brian O’Donovanc, James Y. Zoub,d, Joseph L. DeRisic,d, and James A. Wellsa,d,e,1 aDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158; bDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305; cDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA 94158; dChan Zuckerberg Biohub, San Francisco, CA 94158; and eDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158 Edited by Benjamin F. Cravatt, Scripps Research Institute, La Jolla, CA, and approved August 19, 2020 (received for review May 11, 2020) Proteolysis is a major posttranslational regulator of biology inside lysate and miss low abundance proteins and those simply not and outside of cells. Broad identification of optimal cleavage sites expressed in cell lines tested that typically express only half their and natural substrates of proteases is critical for drug discovery genomes (13). and to understand protease biology. Here, we present a method To potentially screen a larger and more diverse sequence that employs two genetically encoded substrate phage display space, investigators have developed genetically encoded substrate libraries coupled with next generation sequencing (SPD-NGS) that phage (14, 15) or yeast display libraries (16, 17). Degenerate DNA allows up to 10,000-fold deeper sequence coverage of the typical six- sequences (up to 107) encoding random peptides were fused to a to eight-residue protease cleavage sites compared to state-of-the-art phage or yeast coat protein gene for a catch-and-release strategy synthetic peptide libraries or proteomics. -
The Impact of Academic Patenting on the Rate, Quality, and Direction of (Public) Research Output
Methodology Data & Measurement Results Summary The Impact of Academic Patenting on the Rate, Quality, and Direction of (Public) Research Output Pierre Azoulay1 Waverly Ding2 Toby Stuart3 1Sloan School of Management MIT & NBER [email protected] 2Haas School of Business University of California — Berkeley 3Graduate School of Business Harvard University January 23, 2007 — Northwestern University Azoulay, Ding, Stuart The Impact of Academic Patenting Methodology Data & Measurement Results Summary Outline 1 Motivation(s) 2 Methodology Problems with existing approaches Selection on observables with staggered treatment decisions Implementing IPTCW estimation 3 Data & Measurement Data sources Measuring “patentability” Descriptive statistics 4 Results The determinants of selection into patenting The impact of academic patenting on the rate of publications The impact of academic patenting on the quality of publications The impact of academic patenting on the content of publications 5 Caveats, Summary & Future Directions Azoulay, Ding, Stuart The Impact of Academic Patenting Methodology Data & Measurement Results Summary Outline 1 Motivation(s) 2 Methodology Problems with existing approaches Selection on observables with staggered treatment decisions Implementing IPTCW estimation 3 Data & Measurement Data sources Measuring “patentability” Descriptive statistics 4 Results The determinants of selection into patenting The impact of academic patenting on the rate of publications The impact of academic patenting on the quality of publications The impact -
Request for Comments on Proposed Amendments to Patent
INTELLECTUAL PROPERTY - ISRAEL AUTHOR Request for comments on proposed David Gilat amendments to Patent Law 26 April 2021 | Contributed by Reinhold Cohn Group Easing of regulatory burden Examination of biological molecules Patentable subject matter Biological material samples Destruction of infringing products Reliance on foreign patent office decisions Other issues Outstanding issues The Ministry of Justice and the Patent Office recently published a request for comments on purported expansive amendments to the Patent Law. Some of the proposed amendments are minor, while others represent radical changes to the existing legislation. Many of the proposed amendments, if carried through, may benefit foreign applicants, which are the source of most patent applications in Israel. The deadline for filing comments was 7 April 2021. It remains to be seen how the process will develop. This article discusses the proposed amendments and the effect that they may have on the Israeli patent system. Easing of regulatory burden The proposed amendments follow a 2014 government resolution which provides that all government offices should reduce their regulatory burden. Accordingly, many of the proposed amendments clearly relate to reducing the regulatory burden which results from filing patent applications. For example, the request for comments asked applicants about the removal of the Patent Office requirement that parties must disclose any publications cited by any patent offices in other countries. The request for comments also asked applicants about the introduction of a grace period, which would give parties one year following the first publication of their invention to file a patent application. Without a grace period, an inventor's patent rights can be undermined where, for example, they discuss their new research at a conference. -
Applying Library Values to Emerging Technology Decision-Making in the Age of Open Access, Maker Spaces, and the Ever-Changing Library
ACRL Publications in Librarianship No. 72 Applying Library Values to Emerging Technology Decision-Making in the Age of Open Access, Maker Spaces, and the Ever-Changing Library Editors Peter D. Fernandez and Kelly Tilton Association of College and Research Libraries A division of the American Library Association Chicago, Illinois 2018 The paper used in this publication meets the minimum requirements of Ameri- can National Standard for Information Sciences–Permanence of Paper for Print- ed Library Materials, ANSI Z39.48-1992. ∞ Cataloging-in-Publication data is on file with the Library of Congress. Copyright ©2018 by the Association of College and Research Libraries. All rights reserved except those which may be granted by Sections 107 and 108 of the Copyright Revision Act of 1976. Printed in the United States of America. 22 21 20 19 18 5 4 3 2 1 Contents Contents Introduction .......................................................................................................ix Peter Fernandez, Head, LRE Liaison Programs, University of Tennessee Libraries Kelly Tilton, Information Literacy Instruction Librarian, University of Tennessee Libraries Part I Contemplating Library Values Chapter 1. ..........................................................................................................1 The New Technocracy: Positioning Librarianship’s Core Values in Relationship to Technology Is a Much Taller Order Than We Think John Buschman, Dean of University Libraries, Seton Hall University Chapter 2. ........................................................................................................27 -
The Northern Powerhouse in Health Health Science Alliance Ltd Research – a Science and Innovation Audit
The Northern Submitted by the Northern Powerhouse in Health Health Science Alliance Ltd Research – A Science and Innovation Audit Appendices June 2018 Key Local authorities in overlapping LEPs Northern Powerhouse LEPs The Northern Submitted by the Northern Powerhouse in Health Health Science Alliance Ltd Research – A Science and Innovation Audit Appendices June 2018 Prepared by: Prepared for: SDG Economic Development Submitted by the Northern Health 61 Mosley Street Science Alliance Ltd Manchester M2 3HZ C/O Weightmans LLP, Hardman Square No 1 Spinningfields, Manchester, M3 3EB +44 161 261 9154 www.sdgED.com Steer Davies Gleave has prepared this material for Submitted by the Northern Health Science Alliance Ltd. This material may only be used within the context and scope for which Steer Davies Gleave has prepared it and may not be relied upon in part or whole by any third party or be used for any other purpose. Any person choosing to use any part of this material without the express and written permission of Steer Davies Gleave shall be deemed to confirm their agreement to indemnify Steer Davies Gleave for all loss or damage resulting therefrom. Steer Davies Gleave has prepared this material using professional practices and procedures using information available to it at the time and as such any new information could alter the validity of the results and conclusions made. The Northern Powerhouse in Health Research – A Science and Innovation Audit | Appendices Contents 1 Bibliography ....................................................................................................................... 1 2 Policy Context .................................................................................................................... 3 3 Chapter Two Appendix - Strengths in Science and Innovation ............................................ 17 4 Chapter Three Appendix - Theme 1: Data for Better Health and Wealth ............................