The UCSC Genome Bioinformatics Group: Opening the Human Genome for Exploration
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The New Science of Metagenomics: Revealing the Secrets of Our Microbial Planet Is Available from the National Academies Press, 500 Fifth Street, NW, Washington, D.C
THE NATIONALA REPORTIN BRIEF C The New Science of Metagenomics Revealing the Secrets of Our Microbial Planet ADEMIES Although we can’t see them, microbes are essential for every part of human life— indeed all life on Earth. The emerging field of metagenomics provides a new way of viewing the microbial world that will not only transform modern microbiology, but also may revolu- tionize understanding of the entire living world. very part of the biosphere is impacted Eby the seemingly endless ability of microorganisms to transform the world around them. It is microorganisms, or microbes, that convert the key elements of life—carbon, nitrogen, oxygen, and sulfur—into forms accessible to other living things. They also make necessary nutrients, minerals, and vitamins available to plants and animals. The billions of microbes living in the human gut help humans digest food, break down toxins, and fight off disease-causing pathogens. Microbes also clean up pollutants in the environment, such as oil and Bacteria in human saliva. Trillions of chemical spills. All of these activities are carried bacteria make up the normal microbial com- out not by individual microbes but by complex munity found in and on the human body. microbial communities—intricate, balanced, and The new science of metagenomics can help integrated entities that have a remarkable ability to us understand the role of microbial commu- adapt swiftly to environmental change. nities in human health and the environment. Historically, microbiology has focused on (Image courtesy of Michael Abbey) single species in pure laboratory culture, and thus understanding of microbial communities has lagged behind understanding of their individual mem- bers. -
Genomics and Its Impact on Science and Society: the Human Genome Project and Beyond
DOE/SC-0083 Genomics and Its Impact on Science and Society The Human Genome Project and Beyond U.S. Department of Energy Genome Research Programs: genomics.energy.gov A Primer ells are the fundamental working units of every living system. All the instructions Cneeded to direct their activities are contained within the chemical DNA (deoxyribonucleic acid). DNA from all organisms is made up of the same chemical and physical components. The DNA sequence is the particular side-by-side arrangement of bases along the DNA strand (e.g., ATTCCGGA). This order spells out the exact instruc- tions required to create a particular organism with protein complex its own unique traits. The genome is an organism’s complete set of DNA. Genomes vary widely in size: The smallest known genome for a free-living organism (a bac- terium) contains about 600,000 DNA base pairs, while human and mouse genomes have some From Genes to Proteins 3 billion (see p. 3). Except for mature red blood cells, all human cells contain a complete genome. Although genes get a lot of attention, the proteins DNA in each human cell is packaged into 46 chro- perform most life functions and even comprise the mosomes arranged into 23 pairs. Each chromosome is majority of cellular structures. Proteins are large, complex a physically separate molecule of DNA that ranges in molecules made up of chains of small chemical com- length from about 50 million to 250 million base pairs. pounds called amino acids. Chemical properties that A few types of major chromosomal abnormalities, distinguish the 20 different amino acids cause the including missing or extra copies or gross breaks and protein chains to fold up into specific three-dimensional rejoinings (translocations), can be detected by micro- structures that define their particular functions in the cell. -
The Human Genome Project Focus of the Human Genome Project
TOOLS OF GENETIC RESEARCH THE HUMAN GENOME PROJECT FOCUS OF THE HUMAN GENOME PROJECT The primary work of the Human Genome Project has been to Francis S. Collins, M.D., Ph.D.; produce three main research tools that will allow investigators to and Leslie Fink identify genes involved in normal biology as well as in both rare and common diseases. These tools are known as positional cloning The Human Genome Project is an ambitious research effort aimed at deciphering the chemical makeup of the entire human (Collins 1992). These advanced techniques enable researchers to ge ne tic cod e (i.e. , the g enome). The primary wor k of the search for diseaselinked genes directly in the genome without first having to identify the gene’s protein product or function. (See p ro j e c t i s t o d ev e lop t h r e e r e s e a r c h tool s t h a t w i ll a ll o w the article by Goate, pp. 217–220.) Since 1986, when researchers scientists to identify genes involved in both rare and common 2 diseases. Another project priority is to examine the ethical, first found the gene for chronic granulomatous disease through legal, and social implications of new genetic technologies and positional cloning, this technique has led to the isolation of consid to educate the public about these issues. Although it has been erably more than 40 diseaselinked genes and will allow the identi in existence for less than 6 years, the Human Genome Project fication of many more genes in the future (table 1). -
From the Human Genome Project to Genomic Medicine a Journey to Advance Human Health
From the Human Genome Project to Genomic Medicine A Journey to Advance Human Health Eric Green, M.D., Ph.D. Director, NHGRI The Origin of “Genomics”: 1987 Genomics (1987) “For the newly developing discipline of [genome] mapping/sequencing (including the analysis of the information), we have adopted the term GENOMICS… ‘The Genome Institute’ Office for Human Genome Research 1988-1989 National Center for Human Genome Research 1989-1997 National Human Genome Research Institute 1997-present NHGRI: Circa 1990-2003 Human Genome Project NHGRI Today: Characteristic Features . Relatively young (~28 years) . Relatively small (~1.7% of NIH) . Unusual historical origins (think ‘Human Genome Project’) . Emphasis on ‘Team Science’ (think managed ‘consortia’) . Rapidly disseminating footprint (think ‘genomics’) . Novel societal/bioethics research component (think ‘ELSI’) . Over-achievers for trans-NIH initiatives (think ‘Common Fund’) . Vibrant (and large) Intramural Research Program A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project Genomic Medicine An emerging medical discipline that involves using genomic information about an individual as part of their clinical care (e.g., for diagnostic or therapeutic decision- making) and the other implications of that clinical use The Path to Genomic Medicine ? Human Realization of Genome Genomic Project Medicine Nature Nature Base Pairs to Bedside 2003 Heli201x to 1Health A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project -
ENCODE Genome-Wide Data on the UCSC Genome Browser Melissa Cline ENCODE Data Coordination Center (DCC) UC Santa Cruz
ENCODE Genome-Wide Data on the UCSC Genome Browser Melissa Cline ENCODE Data Coordination Center (DCC) UC Santa Cruz http://encodeproject.org Slides at http://genome-preview.ucsc.edu/ What is ENCODE? • International consortium project with the goal of cataloguing the functional regions of the human genome GTTTGCCATCTTTTG! CTGCTCTAGGGAATC" CAGCAGCTGTCACCA" TGTAAACAAGCCCAG" GCTAGACCAGTTACC" CTCATCATCTTAGCT" GATAGCCAGCCAGCC" ACCACAGGCATGAGT" • A gold mine of experimental data for independent researchers with available disk space ENCODE covers diverse regulatory processes ENCODE experiments are planned for integrative analysis Example of ENCODE data Genes Dnase HS Chromatin Marks Chromatin State Transcription Factor Binding Transcription RNA Binding Translation ENCODE tracks on the UCSC Genome Browser ENCODE tracks marked with the NHGRI helix There are currently 2061 ENCODE experiments at the ENCODE DCC How to find the data you want Finding ENCODE tracks the hard way A better way to find ENCODE tracks Finding ENCODE metadata descriptions Visualizing: Genome Browser tricks that every ENCODE user should know Turning ENCODE subtracks and views on and off Peaks Signal View on/off Subtrack on/off Right-click to the subtrack display menu Subtrack Drag and Drop Sessions: the easy way to save and share your work Downloading data with less pain 1. Via the Downloads button on the track details page 2. Via the File Selection tool Publishing: the ENCODE data release policy Every ENCODE subtrack has a “Restricted Until” date Key points of the ENCODE data release policy • Anyone is free to download and analyze data. • One cannot submit publications involving ENCODE data unless – the data has been at the ENCODE DCC for at least nine months, or – the data producers have published on the data, or – the data producers have granted permission to publish. -
The for Report 07-08
THE CENTER FOR INTEGRATIVE GENOMICS REPORT 07-08 www.unil.ch/cig Table of Contents INTRODUCTION 2 The CIG at a glance 2 The CIG Scientific Advisory Committee 3 Message from the Director 4 RESEARCH 6 Richard Benton Chemosensory perception in Drosophila: from genes to behaviour 8 Béatrice Desvergne Networking activity of PPARs during development and in adult metabolic homeostasis 10 Christian Fankhauser The effects of light on plant growth and development 12 Paul Franken Genetics and energetics of sleep homeostasis and circadian rhythms 14 Nouria Hernandez Mechanisms of basal and regulated RNA polymerase II and III transcription of ncRNA in mammalian cells 16 Winship Herr Regulation of cell proliferation 18 Henrik Kaessmann Mammalian evolutionary genomics 20 Sophie Martin Molecular mechanisms of cell polarization 22 Liliane Michalik Transcriptional control of tissue repair and angiogenesis 24 Alexandre Reymond Genome structure and expression 26 Andrzej Stasiak Functional transitions of DNA structure 28 Mehdi Tafti Genetics of sleep and the sleep EEG 30 Bernard Thorens Molecular and physiological analysis of energy homeostasis in health and disease 32 Walter Wahli The multifaceted roles of PPARs 34 Other groups at the Génopode 37 CORE FACILITIES 40 Lausanne DNA Array Facility (DAFL) 42 Protein Analysis Facility (PAF) 44 Core facilities associated with the CIG 46 EDUCATION 48 Courses and lectures given by CIG members 50 Doing a PhD at the CIG 52 Seminars and symposia 54 The CIG annual retreat 62 The CIG and the public 63 Artist in residence at the CIG 63 PEOPLE 64 1 Introduction The Center for IntegratiVE Genomics (CIG) at A glance The Center for Integrative Genomics (CIG) is the newest depart- ment of the Faculty of Biology and Medicine of the University of Lausanne (UNIL). -
Comparative Genome Evolution Working Group
Comparative Genome Evolution Working Group COMPARATIVE GENOME EVOLUTION MODIFIED PROPOSAL Introduction Analysis of comparative genomic sequence information from a well-chosen set of organisms is, at present, one of the most effective approaches available to advance biomedical research. The following document describes rationales and plans for selecting targets for genome sequencing that will provide insight into a number of major biological questions that broadly underlie major areas of research funded by the National Institutes of Health, including studies of gene regulation, understanding animal development, and understanding gene and protein function. Genomic sequence data is a fundamental information resource that is required to address important questions about biology: What is the genomic basis for the advent of major morphogenetic or physiological innovations during evolution? How have genomes changed with the addition of new features observed in the eukaryotic lineage, for example the development of an adaptive immune system, an organized nervous system, bilateral symmetry, or multicellularity? What are the genomic correlates or bases for major evolutionary phenomena such as evolutionary rates; speciation; genome reorganization, and origins of variation? Another vital use to which genomic sequence data are applied is the development of more robust information about important non-human model systems used in biomedical research, i.e. how can we identify conserved functional regions in the existing genome sequences of important non- mammalian model systems, so that we can better understand fundamental aspects of, for example, gene regulation, replication, or interactions between genes? NHGRI established a working group to provide the Institute with well-considered scientific thought about the genomic sequences that would most effectively address these questions. -
Gene Prediction Using Deep Learning
FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Gene prediction using Deep Learning Pedro Vieira Lamares Martins Mestrado Integrado em Engenharia Informática e Computação Supervisor: Rui Camacho (FEUP) Second Supervisor: Nuno Fonseca (EBI-Cambridge, UK) July 22, 2018 Gene prediction using Deep Learning Pedro Vieira Lamares Martins Mestrado Integrado em Engenharia Informática e Computação Approved in oral examination by the committee: Chair: Doctor Jorge Alves da Silva External Examiner: Doctor Carlos Manuel Abreu Gomes Ferreira Supervisor: Doctor Rui Carlos Camacho de Sousa Ferreira da Silva July 22, 2018 Abstract Every living being has in their cells complex molecules called Deoxyribonucleic Acid (or DNA) which are responsible for all their biological features. This DNA molecule is condensed into larger structures called chromosomes, which all together compose the individual’s genome. Genes are size varying DNA sequences which contain a code that are often used to synthesize proteins. Proteins are very large molecules which have a multitude of purposes within the individual’s body. Only a very small portion of the DNA has gene sequences. There is no accurate number on the total number of genes that exist in the human genome, but current estimations place that number between 20000 and 25000. Ever since the entire human genome has been sequenced, there has been an effort to consistently try to identify the gene sequences. The number was initially thought to be much higher, but it has since been furthered down following improvements in gene finding techniques. Computational prediction of genes is among these improvements, and is nowadays an area of deep interest in bioinformatics as new tools focused on the theme are developed. -
The Genome Project–Write Issues, Enabling Inclusive Decision-Making on the Topics Mentioned Above (7)
Human chromosomes and nucleus as visualized by scanning electron microscopy. Through open and ongoing dialogue, com- mon goals can be identified. Informed consent must take local and regional val- ues into account and enable true decision- making on particularly sensitive use of cells and DNA from certain sources. Finally, the highest biosafety standards should guide project work and safety for lab workers and research participants, and ecosystems should pervade the design process. A prior- ity will be cost reduction of both genome engineering and testing tools to aid in equi- POLICY FORUM table distribution of benefits—e.g., enabling research on crop plants and infectious agents and vectors in developing nations. GENOME ENGINEERING To ensure responsible innovation and on- going consideration of ELSI, a percentage of all research funds could be dedicated to these The Genome Project–Write issues, enabling inclusive decision-making on the topics mentioned above (7). In addi- We need technology and an ethical framework tion, there should be equitable distribution of any early and future benefits in view of on July 29, 2016 for genome-scale engineering diverse and pressing needs in different global regions. The broad scope and novelty of the By Jef D. Boeke,* George Church,* large-scale synthesis and editing of genomes. project call for consideration of appropriate Andrew Hessel,* Nancy J. Kelley,* Adam To this end, we propose the Human Genome regulation alongside development of the sci- Arkin, Yizhi Cai, Rob Carlson, Aravinda Project–Write (HGP-write), named to honor ence and societal debates. National and in- Chakravarti, Virginia W. Cornish, Liam HGP-read but embracing synthesis of all ternational laws and regulations differ, and Holt, Farren J. -
No Evidence for Recent Selection at FOXP2 Among Diverse Human Populations
Article No Evidence for Recent Selection at FOXP2 among Diverse Human Populations Graphical Abstract Authors Elizabeth Grace Atkinson, Amanda Jane Audesse, Julia Adela Palacios, Dean Michael Bobo, Ashley Elizabeth Webb, Sohini Ramachandran, Brenna Mariah Henn Correspondence [email protected] (E.G.A.), [email protected] (B.M.H.) In Brief An in-depth examination of diverse sets of human genomes argues against a recent selective evolutionary sweep of FOXP2, a gene that was believed to be critical for speech evolution in early hominins. Highlights d No support for positive selection at FOXP2 in large genomic datasets d Sample composition and genomic scale significantly affect selection scans d An intronic ROI within FOXP2 is expressed in human brain cells and cortical tissue d This ROI contains a large amount of constrained, human- specific polymorphisms Atkinson et al., 2018, Cell 174, 1424–1435 September 6, 2018 ª 2018 Elsevier Inc. https://doi.org/10.1016/j.cell.2018.06.048 Article No Evidence for Recent Selection at FOXP2 among Diverse Human Populations Elizabeth Grace Atkinson,1,8,9,10,* Amanda Jane Audesse,2,3 Julia Adela Palacios,4,5 Dean Michael Bobo,1 Ashley Elizabeth Webb,2,6 Sohini Ramachandran,4 and Brenna Mariah Henn1,7,* 1Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA 2Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 02912, USA 3Neuroscience Graduate Program, Brown University, Providence, RI 02912, USA 4Department of Ecology and Evolutionary -
Databases/Resources on the Web
Jon K. Lærdahl, Structural Bioinforma�cs Databases/Resources on the web Jon K. Lærdahl [email protected] Jon K. Lærdahl, A lot of biological databases Structural Bioinforma�cs available on the web... MetaBase, the database of biological bioinforma�cs.ca – links directory databases (1801 entries) (620 databases) -‐ h�p://metadatabase.org -‐ h�p://bioinforma�cs.ca/links_directory Jon K. Lærdahl, Structural Bioinforma�cs btw, the bioinforma�cs.ca links directory is an excellent resource bioinforma�cs.ca – links directory h�p://bioinforma�cs.ca/links_directory Currently 1459 tools 620 databases 164 “resources” The problem is not to find a tool or database, but to know what is “gold” and what is “junk” Jon K. Lærdahl, Some important centres for Structural Bioinforma�cs bioinforma�cs Na�onal Center for Biotechnology Informa�on (NCBI) – part of the US Na�onal Library of Medicine (NLM), a branch of the Na�onal Ins�tutes of Health – located in Bethesda, Maryland European Bioinforma�cs Ins�tute (EMBL-‐EBI) – part of part of European Molecular Biology Laboratory (EMBL) – located in Hinxton, Cambridgeshire, UK Jon K. Lærdahl, NCBI databases Structural Bioinforma�cs Provided the GenBank DNA sequence database since 1992 Online Mendelian Inheritance in Man (OMIM) -‐ known diseases with a gene�c component and links to genes – started early 1960s as a book – online version, OMIM, since 1987 – on the WWW by NCBI in 1995 – currently >22,000 entries (14,400 genes) EST -‐ nucleo�de database subset that contains only Expressed Sequence Tag -
The UCSC Genome Browser Database: 2021 Update Jairo Navarro Gonzalez 1,*, Ann S
D1046–D1057 Nucleic Acids Research, 2021, Vol. 49, Database issue Published online 22 November 2020 doi: 10.1093/nar/gkaa1070 The UCSC Genome Browser database: 2021 update Jairo Navarro Gonzalez 1,*, Ann S. Zweig1, Matthew L. Speir1, Daniel Schmelter1, Kate R. Rosenbloom1, Brian J. Raney1, Conner C. Powell1, Luis R. Nassar1, Nathan D. Maulding1, Christopher M. Lee 1, Brian T. Lee 1,AngieS.Hinrichs1, Alastair C. Fyfe1, Jason D. Fernandes1, Mark Diekhans 1, Hiram Clawson1, Jonathan Casper1, Anna Benet-Pages` 1,2, Galt P. Barber1, David Haussler1,3, Robert M. Kuhn1, Maximilian Haeussler1 and W. James Kent1 Downloaded from https://academic.oup.com/nar/article/49/D1/D1046/5998393 by guest on 27 September 2021 1Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA, 2Medical Genetics Center (MGZ), Munich, Germany and 3Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA Received September 21, 2020; Revised October 19, 2020; Editorial Decision October 20, 2020; Accepted November 18, 2020 ABSTRACT pires to quickly incorporate and contextualize vast amounts of genomic information. For more than two decades, the UCSC Genome Apart from incorporating data from researchers and con- Browser database (https://genome.ucsc.edu)has sortia, the Browser also provides tools available for users to provided high-quality genomics data visualization view and compare their own data with ease. Custom tracks and genome annotations to the research community. allow users to quickly view a dataset, and track hubs allow As the field of genomics grows and more data be- users to extensively organize their data and share it privately come available, new modes of display are required using a URL.