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A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast
A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast By Jessica M. Vera B.S. University of Wisconsin-Madison, 2007 A thesis submitted to the Faculty of the Graduate School in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Molecular, Cellular, and Developmental Biology 2015 This thesis entitled: A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast written by Jessica M. Vera has been approved for the Department of Molecular, Cellular, and Developmental Biology Tom Blumenthal Robin Dowell Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline iii Vera, Jessica M. (Ph.D., Molecular, Cellular and Developmental Biology) A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast Thesis Directed by Robin Dowell Cryptic unstable transcripts (CUTs) are a largely unexplored class of nuclear exosome degraded, non-coding RNAs in budding yeast. It is highly debated whether CUT transcription has a functional role in the cell or whether CUTs represent noise in the yeast transcriptome. I sought to ascertain the extent of conserved CUT expression across a variety of Saccharomyces yeast strains to further understand and characterize the nature of CUT expression. To this end I designed a Hidden Markov Model (HMM) to analyze strand-specific RNA sequencing data from nuclear exosome rrp6Δ mutants to identify and compare CUTs in four different yeast strains: S288c, Σ1278b, JAY291 (S.cerevisiae) and N17 (S.paradoxus). -
EMBO Encounters Issue43.Pdf
WINTER 2019/2020 ISSUE 43 Nine group leaders selected Meet the first EMBO Global Investigators PAGE 6 Accelerating scientific publishing EMBO publishing costs Review Commons Making our journals’ platform announced finances public PAGE 3 PAGES 10 – 11 Welcome, Young Investigators! Contract replaces stipend Marking ten years 27 group leaders join the programme EMBO Postdoctoral Fellowships EMBO Molecular Medicine receive an update celebrates anniversary PAGES 4 – 5 PAGE 7 PAGE 13 www.embo.org TABLE OF CONTENTS EMBO NEWS EMBO news Review Commons: accelerating publishing Page 3 EMBO Molecular Medicine turns ten © Marietta Schupp, EMBL Photolab Marietta Schupp, © Page 13 Editorial MBO was founded by scientists for Introducing 27 new Young Investigators scientists. This philosophy remains at Pages 4-5 Ethe heart of our organization until today. EMBO Members are vital in the running of our Meet the first EMBO Global programmes and activities: they screen appli- Accelerating scientific publishing 17 journals on board Investigators cations, interview candidates, decide on fund- Review Commons will manage the transfer of ing, and provide strategic direction. On pages EMBO and ASAPbio announced pre-journal portable review platform the manuscript, reviews, and responses to affili- Page 6 8-9 four members describe why they chose to ate journals. A consortium of seventeen journals New members meet in Heidelberg dedicate their time to an EMBO Committee across six publishers (see box) have joined the Fellowships: from stipends to contracts Pages 14 – 15 and what they took away from the experience. n December 2019, EMBO, in partnership with decide to submit their work to a journal, it will project by committing to use the Review Commons Page 7 When EMBO was created, the focus lay ASAPbio, launched Review Commons, a multi- allow editors to make efficient editorial decisions referee reports for their independent editorial deci- specifically on fostering cross-border inter- Ipublisher partnership which aims to stream- based on existing referee comments. -
2018 Program Book.Indd
32nd Annual Symposium BOSTON July 9 - 12, 2018 Program www.proteinsociety.org Table of Contents #PS32 2 Welcome Mission 3 Program Planning Committee 4 Committees The Protein Society is a not-for-profi t scholarly society 7 Corporate Support with a mission to advance state-of-the-art science through international forums that promote commu- 8 Registration nication, cooperation, and collaboration among scientists involved in the study of proteins. 9 Hotel Floor Plan For 32 years, The Protein Society has served as the in- 11 General Information tellectual home of investigators across all disciplines - and from around the world - involved in the study 16 2018 Protein Society Award Winners of protein structure, function, and design. The Soci- ety provides forums for scientifi c collaboration and 22 Travel Awards communication and supports professional growth of young investigators through workshops, networking 24 At-A-Glance opportunities, and by encouraging junior research- ers to participate fully in the Annual Symposium. In 26 Program addition to our Symposium, the Society’s prestigious journal, Protein Science, serves as an ideal platform 40 Exhibitor Director to further the science of proteins in the broadest sense possible. 50 Poster Presentation Schedule 64 Abstracts: TPS Award Winners & Invited Speakers 86 Posters #PS32 1986 - 2018 1 Welcome Program Planning Committee #PS32 Welcome to Boston and to the 2018 32nd Boston | July 9 - 12, 2018 Annual Symposium of the Protein Society! We are excited to bring you this year’s Annual Symposium comprising twelve exceptional scien- tifi c sessions that cover a wide range of scientifi c achievement in the fi eld of protein science. -
Mutational Scanning Symposium Virtual Event
MUTATIONAL SCANNING SYMPOSIUM VIRTUAL EVENT APRIL 5-7, 2021 1 TABLE OF CONTENTS Welcome 3 Agenda Day 1; April 5 4 Agenda Day 2; April 6 5 Agenda Day 3; April 7 6 Keynote Speakers 7 Artist Alex Cagan 8 Speaker Bios 6 Grace R. Anderson Atina Cote Erika DeBenedictis John Doench Maitreya Dunham Doug Fowler Meghan Garrett Matt Hurles Martin Kampmann Rachel Karchin Ben Lehner (Keynote Speaker) Prashant Mali Deborah Marks Kenneth Matreyek Beatriz Adriana Osuna Maria-Jesus Martin Erik Procko Kimberly A. Reynolds (Keynote Speaker) Frederick (Fritz) Roth Alan Rubin Avtar Singh Lea Starita Tyler N. Starr Clare Turnbull Organizing Committee 17 Virtual Meeting Information 18 Sponsors 19 2 Multiplex Assays of Variant Effects Multiplex Assays of Variant Effects (MAVEs) are key to variant interpretation and are transforming our understanding of the human genome. This annual symposium is sponsored by the Center for the Multiplex Assessment of Phenotype , Illumina, Octant, Wellcome Sanger, and the Brotman Baty Institute. Experts in the field of mutational scanning come from around the world meet to present their work and provide insights on the future of this science for this three-day event which will be held virtually, April 5th-7th 2021. Register to attend HERE 3 Mutational Scanning Symposium April 5-7 2021 All times April 5, 2021 Agenda Pacific Standard Time Lea Starita, PhD | UW 8:00 -08:10 am Welcome, Opening Remarks Kim Reynolds, PhD | UTSW, Dallas (KEYNOTE/featured speaker) 8:10 - 8:55 am Mapping sequence constraints in an essential metabolic enzyme Maitreya Dunham, PhD | UW 8:55 - 9:20 am Deep mutational scanning of pharmacogenes using yeast activity assays. -
Mutational Scanning Symposium
MUTATIONAL SCANNING SYMPOSIUM VIRTUAL EVENT APRIL 5-7, 2021 1 TABLE OF CONTENTS Welcome 3 Agenda Day 1; April 5 4 Agenda Day 2; April 6 5 Agenda Day 3; April 7 6 Keynote Speakers 7 Artist Alex Cagan 8 Speaker Bios 6 Grace R. Anderson Atina Cote Erika DeBenedictis John Doench Maitreya Dunham Doug Fowler Meghan Garrett Matt Hurles Martin Kampmann Rachel Karchin Ben Lehner (Keynote Speaker) Prashant Mali Deborah Marks Kenneth Matreyek Beatriz Adriana Osuna Maria-Jesus Martin Erik Procko Kimberly A. Reynolds (Keynote Speaker) Frederick (Fritz) Roth Alan Rubin Avtar Singh Lea Starita Tyler N. Starr Clare Turnbull Organizing Committee 17 Virtual Meeting Information 18 Sponsors 19 2 Multiplex Assays of Variant Effects Multiplex Assays of Variant Effects (MAVEs) are key to variant interpretation and are transforming our understanding of the human genome. This annual symposium is sponsored by the Center for the Multiplex Assessment of Phenotype , Illumina, Octant, Wellcome Sanger, and the Brotman Baty Institute. Experts in the field of mutational scanning come from around the world meet to present their work and provide insights on the future of this science for this three-day event which will be held virtually, April 5th-7th 2021. Register to attend HERE 3 Mutational Scanning Symposium April 5-7 2021 All times April 5, 2021 Agenda Pacific Standard Time Lea Starita, PhD | UW 8:00 -08:10 am Welcome, Opening Remarks Kim Reynolds, PhD | UTSW, Dallas (KEYNOTE/featured speaker) 8:10 - 8:55 am Mapping sequence constraints in an essential metabolic enzyme Maitreya Dunham, PhD | UW 8:55 - 9:20 am Deep mutational scanning of pharmacogenes using yeast Activity assays. -
UCLA UCLA Electronic Theses and Dissertations
UCLA UCLA Electronic Theses and Dissertations Title Bipartite Network Community Detection: Development and Survey of Algorithmic and Stochastic Block Model Based Methods Permalink https://escholarship.org/uc/item/0tr9j01r Author Sun, Yidan Publication Date 2021 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA Los Angeles Bipartite Network Community Detection: Development and Survey of Algorithmic and Stochastic Block Model Based Methods A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Statistics by Yidan Sun 2021 © Copyright by Yidan Sun 2021 ABSTRACT OF THE DISSERTATION Bipartite Network Community Detection: Development and Survey of Algorithmic and Stochastic Block Model Based Methods by Yidan Sun Doctor of Philosophy in Statistics University of California, Los Angeles, 2021 Professor Jingyi Li, Chair In a bipartite network, nodes are divided into two types, and edges are only allowed to connect nodes of different types. Bipartite network clustering problems aim to identify node groups with more edges between themselves and fewer edges to the rest of the network. The approaches for community detection in the bipartite network can roughly be classified into algorithmic and model-based methods. The algorithmic methods solve the problem either by greedy searches in a heuristic way or optimizing based on some criteria over all possible partitions. The model-based methods fit a generative model to the observed data and study the model in a statistically principled way. In this dissertation, we mainly focus on bipartite clustering under two scenarios: incorporation of node covariates and detection of mixed membership communities. -
Bioengineering Professor Trey Ideker Wins 2009 Overton Prize
Bioengineering Professor Trey Ideker Wins 2009 Overton Prize March 13, 2009 Daniel Kane University of California, San Diego bioengineering professor Trey Ideker-a network and systems biology pioneer-has won the International Society for Computational Biology's Overton Prize. The Overton prize is awarded each year to an early-to-mid-career scientist who has already made a significant contribution to the field of computational biology. Trey Ideker is an Associate Professor of Bioengineering at UC San Diego's Jacobs School of Engineering, Adjunct Professor of Computer Science, and member of the Moores UCSD Cancer Center. He is a pioneer in using genome-scale measurements to construct network models of cellular processes and disease. His recent research activities include development of software and algorithms for protein network analysis, network-level comparison of pathogens, and genome-scale models of the response to DNA-damaging agents. "Receiving this award is a wonderful honor and helps to confirm that the work we have been doing for the past several years has been useful to people," said Ideker. "This award also provides great recognition to UC San Diego which has fantastic bioinformatics programs both at the undergraduate and graduate level. I could never have done it without the help of some really first-rate bioinformatics and bioengineering graduate students," said Ideker. Ideker is on the faculty of the Jacobs School of Engineering's Department of Bioengineering, which ranks 2nd in the nationfor biomedical engineering, according to the latest US News rankings. The bioengineering department has ranked among the top five programs in the nation every year for the past decade. -
2016 ISCB Overton Prize Awarded to Debora Marks[Version 1; Peer
F1000Research 2016, 5(ISCB Comm J):1575 Last updated: 09 APR 2020 EDITORIAL 2016 ISCB Overton Prize awarded to Debora Marks [version 1; peer review: not peer reviewed] Christiana N. Fogg1, Diane E. Kovats 2 1Freelance Science Writer, Kensington, MD, USA 2International Society for Computational Biology, Bethesda, MD, USA First published: 05 Jul 2016, 5(ISCB Comm J):1575 ( Not Peer Reviewed v1 https://doi.org/10.12688/f1000research.9158.1) Latest published: 05 Jul 2016, 5(ISCB Comm J):1575 ( This article is an Editorial and has not been subject https://doi.org/10.12688/f1000research.9158.1) to external peer review. Abstract Any comments on the article can be found at the The International Society for Computational Biology (ISCB) recognizes the achievements of an early- to mid-career scientist with the Overton Prize end of the article. each year. The Overton Prize was established to honor the untimely loss of Dr. G. Christian Overton, a respected computational biologist and founding ISCB Board member. Winners of the Overton Prize are independent investigators in the early to middle phases of their careers who are selected because of their significant contributions to computational biology through research, teaching, and service. 2016 will mark the fifteenth bestowment of the ISCB Overton Prize. ISCB is pleased to confer this award the to Debora Marks, Assistant Professor of Systems Biology and director of the Raymond and Beverly Sackler Laboratory for Computational Biology at Harvard Medical School. Keywords ISCB , Overton Prize , Debora Marks , Dr. G. Christian Overton , systems biology This article is included in the International Society for Computational Biology Community Journal gateway. -
Phenotype Prediction from Evolutionary Sequence Covariation
TECHNISCHE UNIVERSITAT¨ MUNCHEN¨ Fakultat¨ fur¨ Informatik Lehrstuhl fur¨ Bioinformatik Phenotype Prediction From Evolutionary Sequence Covariation Thomas A. Hopf Vollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Informatik der Technischen Univer- sitat¨ Munchen¨ zur Erlangung des akademisches Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzende: Univ.-Prof. Gudrun J. Klinker, Ph.D. Prufer¨ der Dissertation: 1. Univ.-Prof. Dr. Burkhard Rost 2. Assistant-Prof. Dr. Debora Marks (Harvard Medical School, Boston/USA) 3. Prof. Dr. Yitzhak Pilpel (Weizmann Institute of Science, Rehovot/Israel) Die Dissertation wurde am 29.10.2015 bei der Technischen Universitat¨ Munchen¨ ein- gereicht und durch die Fakultat¨ fur¨ Informatik am 28.01.2016 angenommen. Dedicated to my family Abstract Disentangling the relationship between genotype and phenotype is a major open ques- tion in biology. Since natural selection acts on phenotypes, the need to maintain organ- ismal fitness leaves a trace of functional constraints in the underlying genotypes. We analyze abundantly available genotype data of homologous proteins from genomic se- quencing for patterns of amino acid conservation and covariation. Based on statistical maximum entropy models of sequence coevolution to identify such evolutionary cou- plings, we developed computational methods to predict phenotypes that are difficult to obtain by experiment, on three different scales: (i) the three-dimensional structures of membrane proteins through coevolving sites -
Hits Symp 2017
HiTS Symposium December 8, 2017 Novars Instutes of BioMedical Research 250 Massachuses Avenue Cambridge, MA Contents Schedule .................................................................................................................. 3 Speaker Bios and Talk Abstracts ............................................................................. 5 Attendee List ......................................................................................................... 17 Poster Index .......................................................................................................... 23 Poster Abstracts .................................................................................................... 27 2 HiTS Fall Symposium 2017 Schedule 8:30 – 9:00am Registration and Light Breakfast 9:00 – 9:30am Welcome Remarks: Peter Sorger, Head of Harvard Program in Therapeutic Science, Harvard Medical School 9:30 – 10:10am Keynote Talk: Mark Borowsky, Executive Director of Scientific Data Analysis, Novartis Institutes for BioMedical Research Machine Learning and Drug Discovery 10:10 – 10:20am Coffee Break 10:20 – 12:15pm Session 1: Biology and Pharmacology at the Single Cell Level Chair: Michael Baym Bree Aldridge, Assistant Professor, Tufts University Mycobacterial cell size control and antibiotic susceptibility Ben Izar, Instructor, Harvard Medical School Cancer cell‐autonomous mechanisms of resistance to immune checkpoint inhibitors revealed by single‐cell RNA‐sequencing Adam Palmer, Postdoctoral Fellow, Harvard Medical School Identifying -
Rich Probabilistic Models for Genomic Data
RICH PROBABILISTIC MODELS FOR GENOMIC DATA a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy Eran Segal August 2004 c Copyright by Eran Segal 2004 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Daphne Koller Department of Computer Science Stanford University (Principal Adviser) I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Nir Friedman School of Computer Science and Engineering Hebrew University I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Stuart Kim Department of Developmental Biology Stanford University I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. David Haussler Department of Computer Science University of California Santa Cruz Approved for the University Committee on Graduate Studies. iii iv To Gal. v vi Abstract Genomic datasets, spanning many organisms and data types, are rapidly being pro- duced, creating new opportunities for understanding the molecular mechanisms un- derlying human disease, and for studying complex biological processes on a global scale. -
Proceedings of the Eighteenth International Conference on Machine Learning., 282 – 289
Abstracts of papers, posters and talks presented at the 2008 Joint RECOMB Satellite Conference on REGULATORYREGULATORY GENOMICS GENOMICS - SYSTEMS BIOLOGY - DREAM3 Oct 29-Nov 2, 2008 MIT / Broad Institute / CSAIL BMP follicle cells signaling EGFR signaling floor cells roof cells Organized by Manolis Kellis, MIT Andrea Califano, Columbia Gustavo Stolovitzky, IBM Abstracts of papers, posters and talks presented at the 2008 Joint RECOMB Satellite Conference on REGULATORYREGULATORY GENOMICS GENOMICS - SYSTEMS BIOLOGY - DREAM3 Oct 29-Nov 2, 2008 MIT / Broad Institute / CSAIL Organized by Manolis Kellis, MIT Andrea Califano, Columbia Gustavo Stolovitzky, IBM Conference Chairs: Manolis Kellis .................................................................................. Associate Professor, MIT Andrea Califano ..................................................................... Professor, Columbia University Gustavo Stolovitzky....................................................................Systems Biology Group, IBM In partnership with: Genome Research ..............................................................................editor: Hillary Sussman Nature Molecular Systems Biology ............................................... editor: Thomas Lemberger Journal of Computational Biology ...............................................................editor: Sorin Istrail Organizing committee: Eleazar Eskin Trey Ideker Eran Segal Nir Friedman Douglas Lauffenburger Ron Shamir Leroy Hood Satoru Miyano Program Committee: Regulatory Genomics: