The Origins of Bioinformatics.Pdf
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Lie Therory and Hermite Polynomials
International Journal For Research In Advanced Computer Science And Engineering ISSN: 2208-2107 A Computational Method for Sequence analyzing Rekardo Fosalli, Teriso Joloobi School of Computer Science, University of De Cyprus, Cyprus Abstract: To study how normal cellular activities are altered in different disease states, the biological data must be combined to form a comprehensive picture of these activities. Therefore, the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data. This includes nucleotide and amino acid sequences, protein domains, and protein structures. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences. Keywords: Clustering, RNA sequences, RNA-Seq, Data Mining, Bioinformatics, Graph Mining. 1. INTRODUCTION Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics and genomics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. -
Genetic Markers and Plant Genetic Resource Management P
NCRPIS Publications and Papers North Central Regional Plant Introduction Station 1995 Genetic Markers and Plant Genetic Resource Management P. K. Bretting United States Department of Agriculture Mark P. Widrlechner Iowa State University, [email protected] Follow this and additional works at: http://lib.dr.iastate.edu/ncrpis_pubs Part of the Agricultural Science Commons, Agriculture Commons, and the Plant Breeding and Genetics Commons The ompc lete bibliographic information for this item can be found at http://lib.dr.iastate.edu/ ncrpis_pubs/75. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Book Chapter is brought to you for free and open access by the North Central Regional Plant Introduction Station at Iowa State University Digital Repository. It has been accepted for inclusion in NCRPIS Publications and Papers by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Plant Breeding Reviews, Volume 13 Edited by Jules Janick © 1995 John Wiley & Sons, Inc. ISBN: 978-0-471-57343-2 12 P. K. BRETTING AND M. P. WIDRLECHNER C. Maintenance 1. Maintaining Trueness-to-Type a. Morphological Traits b. Secondary Metabolites c. Isozymes, Seed Proteins, and DNA Markers d. Comparative Studies e. Pollination Control Methods 2. Monitoring Shifts in Population Genetic Structure in Heterogeneous Germplasm a. Deviations from Random Mating b. Regeneration of Autogamous Species 3. Monitoring Genetic Shifts Caused by Differential Viability in Storage 4. Monitoring Genetic Shifts Caused by In Vitro Culture 5. Monitoring Germplasm Viability and Health D. Utilization 1. Developing Optimal Utilization Strategies from Genetic Marker Data 2. -
Sophie Dumont
Sophie Dumont University of California, San Francisco 513 Parnassus Ave, HSW-613, San Francisco, CA 94143-0512, USA Office: (415) 502-1229 / Cell: (510) 229-9846 [email protected] ; http://dumontlab.ucsf.edu/ EDUCATION 9/2000-12/2005 Ph.D., Biophysics, University of California, Berkeley, CA 10/1999-8/2000 Candidate for D.Phil., Theoretical Physics, University of Oxford, UK 9/1995-6/1999 B.A., Physics, magna cum laude, Princeton University, Princeton, NJ RESEARCH POSITIONS & TRAINING 7/2012-present Assistant Professor, University of California, San Francisco Dept of Cell & Tissue Biology and Dept of Cellular & Molecular Pharmacology Member, QB3 California Institute for Quantitative Biosciences Member, NSF Center for Cellular Construction Affiliate Member, UCSF Cancer Center Graduate program member: Bioengineering, Biomedical Sciences, Biophysics, Tetrad 7/2006-5/2012 Postdoctoral Fellow, Harvard Medical School Mentor: Prof. Timothy Mitchison (Systems Biology) 7/2006-6/2009 Junior Fellow, Harvard Society of Fellows 9/2000-12/2005 Graduate Student, University of California, Berkeley Advisor: Prof. Carlos Bustamante (Physics and Molecular & Cell Biology) 10/1999-8/2000 Graduate Student, University of Oxford Advisor: Prof. Douglas Abraham (Theoretical Physics) 6/1997-5/1999 Undergraduate Student, Princeton University Advisor: Prof. Stanislas Leibler (Physics) AWARDS 2016-2021 NSF CAREER Award 2016 Margaret Oakley Dayhoff Award of the Biophysical Society 2015-2020 NIH New Innovator Award (DP2) 2013-2018 Rita Allen Foundation and Milton -
United States Patent (19) 11 Patent Number: 5,348,854 Webster, Jr
US00534.8854A United States Patent (19) 11 Patent Number: 5,348,854 Webster, Jr. 45) Date of Patent: Sep. 20, 1994 54 METHOD FORDETECTINGPROKARYOTIC vol. 10, No. 2, "Overview of Automation and Identifi ORGANISMS cation,” pp. 18-20, William J. Martin (1979). 76 Inventor: John A. Webster, Jr., 5 Kenmar Dr., American Society for Microbiology News, vol. 49, No. 2, Bldg. 5, Apt. 21, Billerica, Mass. "Impact of Modern Taxonomy on Microbiology,” Don 01821 J. Brenner. International Code of Nomenclature of Bacteria and 21) Appl. No.: 21,551 Selected Statutes... Bacteriological Code, 1976 Revi 22 Filed: Mar. 2, 1987 sions; ASM, Washington, D.C. (1975). Arnot et al., Mol. Biochem. Parasitol. 3:47-56 (1981). Related U.S. Application Data Dunn et al., Cell 12:23-36 (1977). Mattei et al., Chem. Absts, vol. 86, No. 19, p. 267, Ab 63) Continuation of Ser. No. 695,223, Jan. 25, 1985, aban doned, Continuation-in-part of Ser. No. 305,498, Sep. stract No. 1362(e) (1977). 25, 1981, Pat. No. 4,717,653. Moseley, S. L. et al., J. Infect. Dis. 142:892-898 (1980). Acore, R. U., Current Topics in Microbiology and Im 51 Int. Cl. ............................................... C12Q 1/68 munobiology 64:105-128 (1974), edited by Springer, 52 U.S. C. .......................................... 435/6; 435/34; New York. 435/172.1; 435/810; 436/504; 436/545; 436/501; 436/804 Boros et al., Nucl. Acids Res, 6:1817-1830 (1979). 58) Field of Search .................. 435/6, 34, 172.1, 810; Saillard, Colette, J. N. Bove, "Methods in Mycro 436/504, 543, 545, 801, 501; 535/695, 223, 78, plasma,’ vol. -
Characterizing the Diversity of Active Bacteria in Soil by Comprehensive Stable Isotope Probing of DNA and RNA 18 with H2 O Elizabeth A
ORIGINAL RESEARCH Characterizing the diversity of active bacteria in soil by comprehensive stable isotope probing of DNA and RNA 18 with H2 O Elizabeth A. Rettedal1 & Volker S. Brozel€ 1,2 1Department of Biology and Microbiology, South Dakota State University, Brookings, South Dakota 57007 2Department of Microbiology and Plant Pathology, University of Pretoria, Pretoria 0004, South Africa Keywords Abstract 18 Bacterial diversity, DNA, H2 O, RNA, SIP, soil. Current limitations in culture-based methods have lead to a reliance on cul- ture-independent approaches, based principally on the comparative analysis of Correspondence primary semantides such as ribosomal gene sequences. DNA can be remarkably Elizabeth A. Rettedal, Department of Biology stable in some environments, so its presence does not indicate live bacteria, but and Microbiology, South Dakota State extracted ribosomal RNA (rRNA) has previously been viewed as an indicator of University, Brookings SD 57007. active cells. Stable isotope probing (SIP) involves the incorporation of heavy Tel: + 45 4525 2506; Fax: + 45 4593 2809; isotopes into newly synthesized nucleic acids, and can be used to separate newly E-mail: [email protected] 18 synthesized from existing DNA or rRNA. H2 O is currently the only potential universal bacterial substrate suitable for SIP of entire bacterial communities. Funding Information The aim of our work was to compare soil bacterial community composition as We thank our reviewers for their helpful revealed by total versus SIP-labeled DNA and rRNA. Soil was supplemented 18 comments and suggestions. This research with H2 O and after 38 days the DNA and RNA were co-extracted. Heavy was funded by SD00H296-081HG from the nucleic acids were separated out by CsCl and CsTFA density centrifugation. -
Sophie Dumont
Sophie Dumont University of California, San Francisco 513 Parnassus Ave, HSW-613, San Francisco, CA 94143-0512, USA Office: (415) 502-1229 / Cell: (510) 229-9846 [email protected] ; http://dumontlab.ucsf.edu/ EDUCATION 9/2000-12/2005 Ph.D., Biophysics, University of California, Berkeley, CA 10/1999-8/2000 Candidate for D.Phil., Theoretical Physics, University of Oxford, UK 9/1995-6/1999 B.A., Physics, magna cum laude, Princeton University, Princeton, NJ RESEARCH POSITIONS & TRAINING 7/2012-present Assistant Professor, University of California, San Francisco Dept of Cell & Tissue Biology Dept of Cellular & Molecular Pharmacology Member, NSF Center for Cellular Construction Member, QB3 California Institute for Quantitative Biosciences Associate Member, UCSF Cancer Center Graduate program member: Biomedical Sciences Biophysics Bioengineering Tetrad 7/2006-5/2012 Postdoctoral Fellow, Harvard Medical School 7/2006-6/2009 Junior Fellow, Harvard Society of Fellows Mentor: Prof. Timothy Mitchison (Systems Biology) Collaborator: Prof. Edward Salmon (UNC Chapel Hill) Topic: Mechanochemistry of cell division 9/2000-12/2005 Graduate Student, University of California, Berkeley Advisor: Prof. Carlos Bustamante (Physics and Molecular & Cell Biology) Collaborators: Prof. Ignacio Tinoco & Prof. Jan Liphardt (UC Berkeley) Prof. Anna Marie Pyle (Yale University) Thesis: Force and helicase-catalyzed mechanical unfolding of single RNA molecules 10/1999-8/2000 Graduate Student, University of Oxford Advisor: Prof. Douglas Abraham (Theoretical Physics) Topic: Statistical mechanics of neural networks 6/1997-5/1999 Undergraduate Student, Princeton University Advisor: Prof. Stanislas Leibler (Physics) Thesis: Thermal sensing network of E. coli Page 1 of 5 AWARDS 2016-2021 NSF CAREER Award 2016 Margaret Oakley Dayhoff Award of the Biophysical Society 2015-2020 NIH New Innovator Award (DP2) 2013-2018 Rita Allen Foundation and Milton E. -
Identification of Small Endogenous Viral Elements Within Host
IDENTIFICATION OF SMALL ENDOGENOUS VIRAL ELEMENTS WITHIN HOST GENOMES by Edward C. Davis, Jr. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science Boise State University May 2016 c 2016 Edward C. Davis, Jr. ALL RIGHTS RESERVED BOISE STATE UNIVERSITY GRADUATE COLLEGE DEFENSE COMMITTEE AND FINAL READING APPROVALS of the thesis submitted by Edward C. Davis, Jr. Thesis Title: Identification of Small Endogenous Viral Elements within Host Genomes Date of Final Oral Examination: 04 March 2016 The following individuals read and discussed the thesis submitted by student Edward C. Davis, Jr., and they evaluated his presentation and response to questions during the final oral examination. They found that the student passed the final oral examination. Timothy Andersen, Ph.D. Chair, Supervisory Committee Amit Jain, Ph.D. Member, Supervisory Committee Gregory Hampikian, Ph.D. Member, Supervisory Committee The final reading approval of the thesis was granted by Timothy Andersen, Ph.D., Chair, Supervisory Committee. The thesis was approved for the Graduate College by John R. Pelton, Ph.D., Dean of the Graduate College. Dedicated to Elaina, Arianna, and Zora. iv ACKNOWLEDGMENTS The author wishes to express gratitude to the members of the supervisory com- mittee for providing guidance and patience. v ABSTRACT A parallel string matching software architecture has been developed (incorpo- rating several algorithms) to identify small genetic sequences in large genomes. En- dogenous viral elements (EVEs) are sequences originating in the genomes of viruses that have become integrated into the chromosomes of sperm or egg cells of infected hosts, and passed to subsequent generations. -
History and Epistemology of M Olecular Biology and Beyond
M A X - P L A N C K - I N S T I T U T F Ü R W I S S E N S C H A F T S G E S C H I C H T E M ax Pl anc k Ins t i tut e for the His tory of Sc i enc e 2 0 0 6 P R E P R I N T 3 1 0 W o r k s h o p H i s t o r y and Ep i s t e m o logy of M o lecu la r B i o logy and Beyond : P r ob le m s and Pe r spec t i ves Collecting and Experimenting: The Moral Economies of Biological Research, 1960s-1980s. Bruno J. Strasser I. Introduction Experimentation is often singled out as the most distinctive feature of modern science. Our very idea of modern science, that we trace back to the Scientific Revolution, gives a central place to this particular way of producing knowledge. The current epistemic, social and cultural authority of science rests largely on the possibility of experimentation in the laboratory. The history of the sciences over the last four centuries reminds us that experimentation has only been one out of many ways in which scientific knowledge has been produced. However, by most accounts, experimentation has progressively come to dominate all the others, in most fields of science, from high energy physics to molecular biology. In the life sciences, the rise of experimentalism has been cast against the natural history tradition, leading to its progressive demise. -
Coding Sequences: a History of Sequence Comparison Algorithms As a Scientiªc Instrument
Coding Sequences: A History of Sequence Comparison Algorithms as a Scientiªc Instrument Hallam Stevens Harvard University Sequence comparison algorithms are sophisticated pieces of software that com- pare and match identical or similar regions of DNA, RNA, or protein se- quence. This paper examines the origins and development of these algorithms from the 1960s to the 1990s. By treating this software as a kind of scien- tiªc instrument used to examine sets of biological objects, the paper shows how algorithms have been used as different sorts of tools and appropriated for dif- ferent sorts of uses according to the disciplinary context in which they were deployed. These particular uses have made sequences themselves into different kinds of objects. Introduction Historians of molecular biology have paid signiªcant attention to the role of scientiªc instruments and their relationship to the production of bio- logical knowledge. For instance, Lily Kay has examined the history of electrophoresis, Boelie Elzen has analyzed the development of the ultra- centrifuge as an enabling technology for molecular biology, and Nicolas Rasmussen has examined how molecular biology was transformed by the introduction of the electron microscope (Kay 1998, 1993; Elzen 1986; Rasmussen 1997).1 Collectively, these historians have demonstrated how instruments and other elements of the material culture of the labora- tory have played a decisive role in determining the kind and quantity of knowledge that is produced by biologists. During the 1960s, a versatile new kind of instrument began to be deployed in biology: the electronic computer (Ceruzzi 2001; Lenoir 1999). Despite the signiªcant role that 1. One could also point to Robert Kohler’s (1994) work on the fruit ºy, Jean-Paul Gaudillière (2001) on laboratory mice, and Hannah Landecker (2007) on the technologies of tissue culture. -
Presentations
DanBIF Conference on Molecular Biodiversity March 11 - 12, 2004 Venue: Festsal at Geocenter Copenhagen, Øster Voldgade 10, DK-1350 Copenhagen K, Denmark Organiser: DanBIF, Danish National Node of GBIF, Global Biodiversity Information Facility Presentations: Welcome & Introduction: The three main levels of biodiversity (Molecular, Organismic, Ecological); Why is molecular biodiversity important to GBIF/DanBIF? Professor Henrik Enghoff Director, Natural History Museum of Denmark, University of Copenhagen. email: [email protected] Abstract: Biodiversity is an immensely complex concept but can be construed as being organised according to three main "axes": Organismic biodiversity deals with entire animals, plants, fungi and micro- organisms and includes such aspects as morphology, distribution, phylogeny, naming, preservation of specimens in collections. Molecular biodiversity focuses on DNA, RNA and proteins and is the main subject of the present conference. Ecological biodiversity is about such things as, e.g., communities and interactions between species. Although research along each of the three main axes can give wonderful results, it is in the conceptual planes defined by two or in the conceptual space defined by all three of the axes that the really exciting discoveries are most likely to be made. GBIF has chosen initially to focus on the organismic level of biodiversity. However, when Denmark presented her bid to host the GBIF secretariat, much emphasis was put on exploring the interaction between organismic and molecular biodiversity. The present conference, arranged by DanBIF – GBIF's Danish node – represents an attempt to stimulate collaboration between molecular and organismic biodiversity researchers. Session 1 – What is molecular biodiversity? - Presentation of the three molecular levels. -
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Functional Proteins from Short Peptides: Dayhoff S Hypothesis
Angewandte Essays Chemie International Edition:DOI:10.1002/anie.201609977 Origin of Proteins German Edition:DOI:10.1002/ange.201609977 Functional Proteins from Short Peptides:Dayhoffs Hypothesis Turns 50 M. Luisa Romero Romero,Avigayel Rabin, and Dan S. Tawfik* Margaret O. Dayhoff ·peptides ·proteins · protein evolution ·origin of life 1. Introduction to adifferent fold.[6] But how would relatively short peptides give rise to folded, globular,and functional proteins?Fifty Proteins are unlikely to have emerged as the large, years ago,Margaret O. Dayhoff pioneered the key hypothesis complex globular forms we know today.First, the primordial regarding the evolution of the first protein forms from short, protein synthesis machinery would inevitably have been simple peptides. inefficient, and the earliest step in protein evolution may even have been the abiotic emergence of short peptides.Second, the de novo emergence of functional proteins through 2. Margaret Oakley Dayhoff random condensation of amino acids demands an improbably extensive exploration of sequence space.Wemay assume Born in Philadelphia on 11 March 1925, Dayhoff grew up aminimal set of primordial, abiotic amino acids,[1] even in New York City (Figure 1). Already in her early academic a“binary” system of polar/charged or hydrophobic[2] plus life,she stood out as an exceptional student, and was awarded glycine for connecting loops.Nonetheless,the probability of ascholarship to New York University.In1945, she graduated the emergence of atypical protein domain that can carry out magna cum laude in mathematics and three years later she enzymatic functions (ca. 100 amino acids) seems dauntingly obtained aPh.D.inquantum chemistry at Columbia Uni- 100 47 low (1/3 10À ).