Integrative Annotation of 21,037 Human Genes Validated by Full-Length Cdna Clones
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Takashi Gojobori Date of Birth 24 October 1951 Place Fukuoka (Japan) Nomination 5 September 2007 Field Evolutionary Genomics Title Professor
Takashi Gojobori Date of Birth 24 October 1951 Place Fukuoka (Japan) Nomination 5 September 2007 Field Evolutionary Genomics Title Professor Most important awards, prizes and academies Society Prize (Kihara Medal), The Genetic Society of Japan (2005); Society Prize (Motoo Kimura Medal), The Society of Evolutionary Studies, Japan (2004); The Gaetano Salvatore Gold Medal, Stazione Zoologica, Anton Dohrn, Italy (2004); Science Award from Japan Science and Technology Corporation (JST) (1997); Science Award from Hitoshi Kihara Memorial Foundation, Japan (1995); Promotion Award from Japanese Society of Genetics (1987). Fellowships: Visiting Research Fellow at Imperial Cancer Research Fund (ICRF) in London (1989); Fellow of American Association for the Advancement of Science (AAAS) (2006). Academies and Professional organisations: Foreign Honorary Member of the American Academy of Arts and Sciences (2006); Member of the Pontifical Academy of Sciences (2007); Vice-Chairman, The International Society of Molecular Evolution; Member, The American Society of Genetics; Member, The Society of Molecular Biology and Evolution; Member, The Japanese Society of Genetics; Member, The Japanese Society of Evolutionary Studies. Summary of scientific research He has worked extensively on the rates of synonymous and nonsynonymous substitutions, positive selection, horizontal gene transfer, viral evolution, genomic evolution, and comparative gene expressionics. In recent years he has focused on the evolution of the brain and of the Central Nervous System. He has contributed to the DDBJ/GenBank/EMBL international nucleotide sequence database construction as well as the H-Invitational human gene database. Main publications Jung Shan, H., Ohyanagi, H., Hayakawa, S., Osato, N., Nishimiya-Fujisawa, C., Ikeo, K., David, C., Fujisawa, T. and Gojobori, T. -
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Gerdol et al. Genome Biology (2020) 21:275 https://doi.org/10.1186/s13059-020-02180-3 RESEARCH Open Access Massive gene presence-absence variation shapes an open pan-genome in the Mediterranean mussel Marco Gerdol1, Rebeca Moreira2, Fernando Cruz3, Jessica Gómez-Garrido3, Anna Vlasova4, Umberto Rosani5, Paola Venier5, Miguel A. Naranjo-Ortiz4,6, Maria Murgarella7, Samuele Greco1, Pablo Balseiro2,8, André Corvelo3,9, Leonor Frias3, Marta Gut3, Toni Gabaldón4,6,10,11, Alberto Pallavicini1,12, Carlos Canchaya7,13,14, Beatriz Novoa2, Tyler S. Alioto3,6, David Posada7,13,14* and Antonio Figueras2* * Correspondence: dposada@uvigo. es; [email protected] Abstract 7Department of Biochemistry, Genetics and Immunology, Background: The Mediterranean mussel Mytilus galloprovincialis is an ecologically University of Vigo, 36310 Vigo, and economically relevant edible marine bivalve, highly invasive and resilient to Spain biotic and abiotic stressors causing recurrent massive mortalities in other bivalves. 2Instituto de Investigaciones Marinas (IIM - CSIC), Eduardo Although these traits have been recently linked with the maintenance of a high Cabello, 6, 36208 Vigo, Spain genetic variation within natural populations, the factors underlying the evolutionary Full list of author information is success of this species remain unclear. available at the end of the article Results: Here, after the assembly of a 1.28-Gb reference genome and the resequencing of 14 individuals from two independent populations, we reveal a complex pan-genomic architecture in M. galloprovincialis, with a core set of 45,000 genes plus a strikingly high number of dispensable genes (20,000) subject to presence-absence variation, which may be entirely missing in several individuals. -
Potential Evidence for Transgenerational Epigenetic Memory in Arabidopsis Thaliana Following Spaceflight ✉ Peipei Xu 1,2, Haiying Chen1,2, Jinbo Hu1 & Weiming Cai 1
ARTICLE https://doi.org/10.1038/s42003-021-02342-4 OPEN Potential evidence for transgenerational epigenetic memory in Arabidopsis thaliana following spaceflight ✉ Peipei Xu 1,2, Haiying Chen1,2, Jinbo Hu1 & Weiming Cai 1 Plants grown in spaceflight exhibited differential methylation responses and this is important because plants are sessile, they are constantly exposed to a variety of environmental pres- sures and respond to them in many ways. We previously showed that the Arabidopsis genome exhibited lower methylation level after spaceflight for 60 h in orbit. Here, using the offspring of the seedlings grown in microgravity environment in the SJ-10 satellite for 11 days and 1234567890():,; returned to Earth, we systematically studied the potential effects of spaceflight on DNA methylation, transcriptome, and phenotype in the offspring. Whole-genome methylation analysis in the first generation of offspring (F1) showed that, although there was no significant difference in methylation level as had previously been observed in the parent plants, some residual imprints of DNA methylation differences were detected. Combined DNA methylation and RNA-sequencing analysis indicated that expression of many pathways, such as the abscisic acid-activated pathway, protein phosphorylation, and nitrate signaling pathway, etc. were enriched in the F1 population. As some phenotypic differences still existed in the F2 generation, it was suggested that these epigenetic DNA methylation modifications were partially retained, resulting in phenotypic differences in the offspring. Furthermore, some of the spaceflight-induced heritable differentially methylated regions (DMRs) were retained. Changes in epigenetic modifications caused by spaceflight affected the growth of two future seed generations. Altogether, our research is helpful in better understanding the adaptation mechanism of plants to the spaceflight environment. -
BRAKER2: Automatic Eukaryotic Genome Annotation with Genemark-EP+ and AUGUSTUS Supported by a Protein Database
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.10.245134; this version posted August 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. BRAKER2: Automatic Eukaryotic Genome Annotation with GeneMark-EP+ and AUGUSTUS Supported by a Protein Database Tomáš Brůna1,*, Katharina J. Hoff2,3*, Alexandre Lomsadze4, Mario Stanke2,3,^ and Mark Borodovsky4,5,^,§ 1 School of Biological Science, Georgia Tech, Atlanta, GA 30332, USA 2 Institute of Mathematics and Computer Science, University of Greifswald, 17489 Greifswald, Germany, 3 Center for Functional Genomics of Microbes, University of Greifswald, 17489 Greifswald, Germany, 4 Wallace H Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA 30332, USA 5 School of Computational Science and Engineering, Georgia Tech, Atlanta, GA 30332, USA * joint first authors ^ joint last authors § corresponding author [email protected] Abstract Full automation of gene prediction has become an important bioinformatics task since the advent of next generation sequencing. The eukaryotic genome annotation pipeline BRAKER1 had combined self-training GeneMark-ET with AUGUSTUS to generate genes’ coordinates with support of transcriptomic data. Here, we introduce BRAKER2, a pipeline with GeneMark-EP+ and AUGUSTUS externally supported by cross-species protein sequences aligned to the genome. Among the challenges addressed in the development of the new pipeline was generation of reliable hints to the locations of protein-coding exon boundaries from likely homologous but evolutionarily distant proteins. -
Gene Prediction Using the Self-Organizing Map: Automatic Generation of Multiple Gene Models Shaun Mahony*1, James O Mcinerney2, Terry J Smith1 and Aaron Golden3
BMC Bioinformatics BioMed Central Software Open Access Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models Shaun Mahony*1, James O McInerney2, Terry J Smith1 and Aaron Golden3 Address: 1National Centre for Biomedical Engineering Science, NUI, Galway, Galway, Ireland, 2Bioinformatics and Pharmacogenomics Laboratory, NUI, Maynooth, Co. Kildare, Ireland and 3Department of Information Technology, NUI, Galway, Galway, Ireland Email: Shaun Mahony* - [email protected]; James O McInerney - [email protected]; Terry J Smith - [email protected]; Aaron Golden - [email protected] * Corresponding author Published: 05 March 2004 Received: 26 November 2003 Accepted: 05 March 2004 BMC Bioinformatics 2004, 5:23 This article is available from: http://www.biomedcentral.com/1471-2105/5/23 © 2004 Mahony et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. Abstract Background: Many current gene prediction methods use only one model to represent protein- coding regions in a genome, and so are less likely to predict the location of genes that have an atypical sequence composition. It is likely that future improvements in gene finding will involve the development of methods that can adequately deal with intra-genomic compositional variation. Results: This work explores a new approach to gene-prediction, based on the Self-Organizing Map, which has the ability to automatically identify multiple gene models within a genome. The current implementation, named RescueNet, uses relative synonymous codon usage as the indicator of protein-coding potential. -
Ribonucleotide Reductase Genes Influence The
RIBONUCLEOTIDE REDUCTASE GENES INFLUENCE THE BIOLOGY AND ECOLOGY OF MARINE VIRUSES by Amelia O. Harrison A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Master of Science in Marine Studies Fall 2019 c 2019 Amelia O. Harrison All Rights Reserved RIBONUCLEOTIDE REDUCTASE GENES INFLUENCE THE BIOLOGY AND ECOLOGY OF MARINE VIRUSES by Amelia O. Harrison Approved: K. Eric Wommack, Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: Mark A. Moline, Ph.D. Director of the School of Marine Science and Policy Approved: Estella A. Atekwana, Ph.D. Dean of the College of Earth, Ocean, and Environment Approved: Douglas J. Doren, Ph.D. Interim Vice Provost for Graduate and Professional Education and Dean of the Graduate College ACKNOWLEDGMENTS First, I would like to thank my advisor, Eric Wommack, for taking a chance on me as a freshman undergrad and again as a masters student. It has been a privilege to work with someone so passionate and excited about science. I would also like to thank Shawn Polson, who has also supported me and helped foster my love for research over the past six years. I would like to thank the final member of my committee, Jennifer Biddle, for her insight and general awesomeness. I am deeply thankful for all of my past and current labmates. Barb Ferrell who somehow always has time for everyone. Prasanna Joglekar, for always making me laugh. Rachel Marine, who took me on as an intern despite not having the time. -
Natural Single-Nucleosome Epi-Polymorphisms in Yeast
Natural Single-Nucleosome Epi-Polymorphisms in Yeast Muniyandi Nagarajan1., Jean-Baptiste Veyrieras1., Maud de Dieuleveult1,He´le`ne Bottin1, Steffen Fehrmann1, Anne-Laure Abraham1,Se´verine Croze2, Lars M. Steinmetz3, Xavier Gidrol4, Gae¨ l Yvert1* 1 Laboratoire de Biologie Mole´culaire de la Cellule, Ecole Normale Supe´rieure de Lyon, CNRS, Universite´ de Lyon, Lyon, France, 2 ProfileXpert, Bron, France, 3 Genome Biology, European Molecular Biology Laboratory, Heidelberg, Germany, 4 Laboratoire d’Exploration Fonctionnelle des Ge´nomes, Commissariat a` l’Energie Atomique, Direction des Sciences du Vivant, Institut de Radiobiologie Cellulaire et Mole´culaire, Evry, France Abstract Epigenomes commonly refer to the sequence of presence/absence of specific epigenetic marks along eukaryotic chromatin. Complete histone-borne epigenomes have now been described at single-nucleosome resolution from various organisms, tissues, developmental stages, or diseases, yet their intra-species natural variation has never been investigated. We describe here that the epigenomic sequence of histone H3 acetylation at Lysine 14 (H3K14ac) differs greatly between two unrelated strains of the yeast Saccharomyces cerevisiae. Using single-nucleosome chromatin immunoprecipitation and mapping, we interrogated 58,694 nucleosomes and found that 5,442 of them differed in their level of H3K14 acetylation, at a false discovery rate (FDR) of 0.0001. These Single Nucleosome Epi-Polymorphisms (SNEPs) were enriched at regulatory sites and conserved non-coding DNA sequences. Surprisingly, higher acetylation in one strain did not imply higher expression of the relevant gene. However, SNEPs were enriched in genes of high transcriptional variability and one SNEP was associated with the strength of gene activation upon stimulation. Our observations suggest a high level of inter-individual epigenomic variation in natural populations, with essential questions on the origin of this diversity and its relevance to gene x environment interactions. -
Comparative Genomics
17 Aug 2004 15:49 AR AR223-GG05-02.tex AR223-GG05-02.sgm LaTeX2e(2002/01/18) P1: IKH 10.1146/annurev.genom.5.061903.180057 Annu. Rev. Genomics Hum. Genet. 2004. 5:15–56 doi: 10.1146/annurev.genom.5.061903.180057 Copyright c 2004 by Annual Reviews. All rights reserved First published online as a Review in Advance on April 15, 2004 COMPARATIVE GENOMICS Webb Miller, Kateryna D. Makova, Anton Nekrutenko, and Ross C. Hardison The Center for Comparative Genomics and Bioinformatics, The Huck Institutes of Life Sciences, and the Departments of Biology, Computer Science and Engineering, and Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania; email: [email protected], [email protected], [email protected], [email protected] KeyWords whole-genome alignments, evolutionary rates, gene prediction, gene regulation, sequence conservation, Internet resources, genome browsers, genome databases, bioinformatics ■ Abstract The genomes from three mammals (human, mouse, and rat), two worms, and several yeasts have been sequenced, and more genomes will be completed in the near future for comparison with those of the major model organisms. Scientists have used various methods to align and compare the sequenced genomes to address critical issues in genome function and evolution. This review covers some of the major new insights about gene content, gene regulation, and the fraction of mammalian genomes that are under purifying selection and presumed functional. We review the evolution- ary processes that shape genomes, with particular attention to variation in rates within genomes and along different lineages. Internet resources for accessing and analyzing the treasure trove of sequence alignments and annotations are reviewed, and we dis- cuss critical problems to address in new bioinformatic developments in comparative genomics. -
1 CURRICULUM VITAE Shozo Yokoyama Shozo Yokoyama, Ph. D
CURRICULUM VITAE Shozo Yokoyama Shozo Yokoyama, Ph. D. Asa Griggs Candler Professor of Biology Department of Biology O. Wayne Rollins Research Center 1510 Clifton Road Emory University Atlanta, GA 30322 Tel. 404-727-5379 Fax. 404-727-2880 E-mail: [email protected] Education: B. S. (Biology), Miyazaki University, Miyazaki, Japan, 1968 M. S. (Biology), Kyushu University, Fukuoka, Japan, 1971 Ph. D. (Biomathematics), University of Washington, Seattle, WA, 1977 Advisor: Dr. Joseph Felsenstein Professional Appointments: Asa G. Candler Professor of Biology, Department of Biology, Emory University, Atlanta, 2003 - present. Distinguished Professor, Department of Biology, Syracuse University, Syracuse, 2002 - 2003. Professor, Department of Biology, Syracuse University, Syracuse, 1991 - 2001 Associate Professor, Department of Ecology, Ethology and Evolution, University of Illinois, Urbana-Champaign, 1987 - 1991 Assistant Professor, Departments of Psychiatry, Genetics, & Biology, Washington University, St. Louis, 1980 - 1987 Instructor, Department of Psychiatry, Washington University, St. Louis, 1978 - 1979 Research Associate (with Dr. Masatoshi Nei), University of Texas at Houston, Houston, 1977 - 1978 Research Assistant (for Dr. Joseph Felsenstein), University of Washington, 1973 - 1977 Teaching Assistant, Division of Biological & Medical Sciences, Brown University, 1972 1 - 1973 Research Assistant (for Dr. Masatoshi Nei), Brown University, 1971 - 1972 Professional Organizations, Editorial Boards and Officers: American Association for the Advancement -
MOSGA 2: Comparative Genomics and Validation Tools
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.29.454382; this version posted July 30, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. MOSGA 2: Comparative genomics and validation tools Roman Martin1, Hagen Dreßler1, Georges Hattab1, Thomas Hackl2, Matthias G. Fischer2, and Dominik Heider1, 1Department of Mathematics and Computer Science, University of Marburg, 35032 Marburg, Germany 2Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Heidelberg 69120, Germany Due to the highly growing number of available genomic infor- which does not necessarily affect the annotation process but mation, the need for accessible and easy-to-use analysis tools is will hinder the submission process and may lead to wrong increasing. To facilitate eukaryotic genome annotations, we cre- conclusions. This study presents the new functionalities in ated MOSGA. In this work, we show how MOSGA 2 is devel- MOSGA 2, such as new workflows for comparative genomics oped by including several advanced analyses for genomic data. and the introduction of validation tools into the framework. Since the genomic data quality greatly impacts the annotation In brief, MOSGA 2 incorporates comparative genomic work- quality, we included multiple tools to validate and ensure high- flows derived from Hackl et al. (13) and validation tools from quality user-submitted genome assemblies. Moreover, thanks to the integration of comparative genomics methods, users can Pirovano et al. (14). -
BIG DATA and SCIENCE: Relevance of Computational Sciences for Data Collection, Data Storage and Data Management in Basic and Applied Scientific Investigations
THE PONTIFICAL ACADEMY OF SCIENCES WORKSHOP ON BIG DATA AND SCIENCE: Relevance of Computational Sciences for Data Collection, Data Storage and Data Management in Basic and Applied Scientific Investigations 17-18 November 2015 • Casina Pio IV • Vatican City 2 BIG DATA AND SCIENCE Introduction ne of the distinctive features of contemporary sci - collected data becomes readily accessible to potential users, O entific research, in both basic and applied sciences, collaborative projects are more common than ever before. is the large amount of data that is continuously being pro - duced. Quite frequently, data production exceeds the ca - This workshop does not intend to encompass all fields of pacity of the available tools for its proper analysis and research in which data management is relevant. Instead, its interpretation, being genomics a paradigmatic example aim is to present specific examples of appropriate collec - of this situation. Therefore, the use of the most advanced tion, storage and management of data, taken mainly from methodologies for data management is of key importance the Life Sciences, Earth Sciences and Astrophysics. It is ex - for a successful research enterprise. pected that sharing experiences among various fields may lead to new opportunities for interdisciplinary research. In recent years, major advances have taken place in the field of Computational Sciences. They have not only facilitated This can be expected to provide advice and help for basic gaining access to new data in all fields of research, but they and for applied research projects in future scientific in - have also led to a more efficient processing of the informa - vestigations. -
Gene Prediction in Metagenomic Sequencing Reads Phd
Gene prediction in metagenomic sequencing reads PhD Thesis in partial fulfilment of the requirements for the degree “Doctor of Philosophy (PhD)” in the Molecular Biology Program at the Georg August University G¨ottingen, Faculty of Biology submitted by Katharina Jasmin Hoff born in Siegburg G¨ottingen 2009 Thesis Supervisor: Dr. Peter Meinicke Doctoral Committee: Prof. Dr. Burkhard Morgenstern (1st Referee) Prof. Dr. Wolfgang Liebl (2nd Referee) Prof. Dr. Lutz Walter I Affidavit I hereby insure that this PhD thesis has been written independently and with no other sources and aids than quoted. Katharina J. Hoff August, 2009 G¨ottingen, Germany II List of Publications Papers in Peer Reviewed Journals • K. J. Hoff, M. Tech, T. Lingner, R. Daniel, B. Morgenstern, P. Meinicke Gene prediction in metagenomic fragments: a large scale machine learning approach BMC Bioinformatics 2008 9:217 • K. J. Hoff, T. Lingner, P. Meinicke, M. Tech Orphelia: predicting genes in metagenomic sequencing reads Nucleic Acids Research 2009 37:W101-W105 • K. J. Hoff. The effect of sequencing errors on metagenomic gene prediction. BMC Genomics 2009 10:520 Posters at International Conferences • K. J. Hoff, M. Tech, P. Meinicke Gene prediction in metagenomic DNA fragments with machine learning techniques Genomes 2008, Paris, France • K. J. Hoff, M. Tech, P. Meinicke Predicting genes on metagenomic pyrosequencing reads with machine learning tech- niques German Conference on Bioinformatics 2008, Dresden, Germany • K. J. Hoff, M. Tech, T. Lingner, R. Daniel, B. Morgenstern, P. Meinicke Gene prediction in metagenomic DNA fragments Horizons in Molecular Biology 2008, G¨ottingen, Germany • K. J. Hoff, M. Tech, P.