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Institution

TigerLogic

About: TigerLogic is a based out in . It is known for research contribution in the topics: Genome & Gene. The organization has 170 authors who have published 122 publications receiving 27103 citations.


Papers
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Journal ArticleDOI
28 Jul 1995-Science
TL;DR: An approach for genome analysis based on sequencing and assembly of unselected pieces of DNA from the whole chromosome has been applied to obtain the complete nucleotide sequence of the genome from the bacterium Haemophilus influenzae Rd.
Abstract: An approach for genome analysis based on sequencing and assembly of unselected pieces of DNA from the whole chromosome has been applied to obtain the complete nucleotide sequence (1,830,137 base pairs) of the genome from the bacterium Haemophilus influenzae Rd. This approach eliminates the need for initial mapping efforts and is therefore applicable to the vast array of microbial species for which genome maps are unavailable. The H. influenzae Rd genome sequence (Genome Sequence DataBase accession number L42023) represents the only complete genome sequence from a free-living organism.

5,944 citations

Journal ArticleDOI
TL;DR: The ultimate goal of this work is to establish a standard for recording and reporting microarray-based gene expression data, which will in turn facilitate the establishment of databases and public repositories and enable the development of data analysis tools.
Abstract: Microarray analysis has become a widely used tool for the generation of gene expression data on a genomic scale. Although many significant results have been derived from microarray studies, one limitation has been the lack of standards for presenting and exchanging such data. Here we present a proposal, the Minimum Information About a Microarray Experiment (MIAME), that describes the minimum information required to ensure that microarray data can be easily interpreted and that results derived from its analysis can be independently verified. The ultimate goal of this work is to establish a standard for recording and reporting microarray-based gene expression data, which will in turn facilitate the establishment of databases and public repositories and enable the development of data analysis tools. With respect to MIAME, we concentrate on defining the content and structure of the necessary information rather than the technical format for capturing it.

4,030 citations

Journal ArticleDOI
Robert A. Holt1, G. Mani Subramanian1, Aaron L. Halpern1, Granger G. Sutton1, Rosane Charlab1, Deborah R. Nusskern1, Patrick Wincker2, Andrew G. Clark3, José M. C. Ribeiro4, Ron Wides5, Steven L. Salzberg6, Brendan J. Loftus6, Mark Yandell1, William H. Majoros6, William H. Majoros1, Douglas B. Rusch1, Zhongwu Lai1, Cheryl L. Kraft1, Josep F. Abril, Véronique Anthouard2, Peter Arensburger7, Peter W. Atkinson7, Holly Baden1, Véronique de Berardinis2, Danita Baldwin1, Vladimir Benes, Jim Biedler8, Claudia Blass, Randall Bolanos1, Didier Boscus2, Mary Barnstead1, Shuang Cai1, Kabir Chatuverdi1, George K. Christophides, Mathew A. Chrystal9, Michele Clamp10, Anibal Cravchik1, Val Curwen10, Ali N Dana9, Arthur L. Delcher1, Ian M. Dew1, Cheryl A. Evans1, Michael Flanigan1, Anne Grundschober-Freimoser11, Lisa Friedli7, Zhiping Gu1, Ping Guan1, Roderic Guigó, Maureen E. Hillenmeyer9, Susanne L. Hladun1, James R. Hogan9, Young S. Hong9, Jeffrey Hoover1, Olivier Jaillon2, Zhaoxi Ke1, Zhaoxi Ke9, Chinnappa D. Kodira1, Kokoza Eb, Anastasios C. Koutsos12, Ivica Letunic, Alex Levitsky1, Yong Liang1, Jhy-Jhu Lin1, Jhy-Jhu Lin6, Neil F. Lobo9, John Lopez1, Joel A. Malek6, Tina C. McIntosh1, Stephan Meister, Jason R. Miller1, Clark M. Mobarry1, Emmanuel Mongin13, Sean D. Murphy1, David A. O'Brochta11, Cynthia Pfannkoch1, Rong Qi1, Megan A. Regier1, Karin A. Remington1, Hongguang Shao8, Maria V. Sharakhova9, Cynthia Sitter1, Jyoti Shetty6, Thomas J. Smith1, Renee Strong1, Jingtao Sun1, Dana Thomasova, Lucas Q. Ton9, Pantelis Topalis12, Zhijian Tu8, Maria F. Unger9, Brian P. Walenz1, Aihui Wang1, Jian Wang1, Mei Wang1, X. Wang9, Kerry J. Woodford1, Jennifer R. Wortman1, Jennifer R. Wortman6, Martin Wu6, Alison Yao1, Evgeny M. Zdobnov, Hongyu Zhang1, Qi Zhao1, Shaying Zhao6, Shiaoping C. Zhu1, Igor F. Zhimulev, Mario Coluzzi14, Alessandra della Torre14, Charles Roth15, Christos Louis12, Francis Kalush1, Richard J. Mural1, Eugene W. Myers1, Mark Raymond Adams1, Hamilton O. Smith1, Samuel Broder1, Malcolm J. Gardner6, Claire M. Fraser6, Ewan Birney13, Peer Bork, Paul T. Brey15, J. Craig Venter6, J. Craig Venter1, Jean Weissenbach2, Fotis C. Kafatos, Frank H. Collins9, Stephen L. Hoffman1 
04 Oct 2002-Science
TL;DR: Analysis of the PEST strain of A. gambiae revealed strong evidence for about 14,000 protein-encoding transcripts, and prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted.
Abstract: Anopheles gambiae is the principal vector of malaria, a disease that afflicts more than 500 million people and causes more than 1 million deaths each year. Tenfold shotgun sequence coverage was obtained from the PEST strain of A. gambiae and assembled into scaffolds that span 278 million base pairs. A total of 91% of the genome was organized in 303 scaffolds; the largest scaffold was 23.1 million base pairs. There was substantial genetic variation within this strain, and the apparent existence of two haplotypes of approximately equal frequency ("dual haplotypes") in a substantial fraction of the genome likely reflects the outbred nature of the PEST strain. The sequence produced a conservative inference of more than 400,000 single-nucleotide polymorphisms that showed a markedly bimodal density distribution. Analysis of the genome sequence revealed strong evidence for about 14,000 protein-encoding transcripts. Prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted. An expressed sequence tag analysis of genes regulated by blood feeding provided insights into the physiological adaptations of a hematophagous insect.

2,033 citations

Journal ArticleDOI
Valerie Wood1, R. Gwilliam1, Marie-Adèle Rajandream1, M. Lyne1, Rachel Lyne1, A. Stewart2, J. Sgouros2, N. Peat2, Jacqueline Hayles2, Stephen Baker1, D. Basham1, Sharen Bowman1, Karen Brooks1, D. Brown1, Steve D.M. Brown1, Tracey Chillingworth1, Carol Churcher1, Mark O. Collins1, R. Connor1, Ann Cronin1, P. Davis1, Theresa Feltwell1, Andrew G. Fraser1, S. Gentles1, Arlette Goble1, N. Hamlin1, David Harris1, J. Hidalgo1, Geoffrey M. Hodgson1, S. Holroyd1, T. Hornsby1, S. Howarth1, Elizabeth J. Huckle1, Sarah E. Hunt1, Kay Jagels1, Kylie R. James1, L. Jones1, Matthew Jones1, S. Leather1, S. McDonald1, J. McLean1, P. Mooney1, Sharon Moule1, Karen Mungall1, Lee Murphy1, D. Niblett1, C. Odell1, Karen Oliver1, Susan O'Neil1, D. Pearson1, Michael A. Quail1, Ester Rabbinowitsch1, Kim Rutherford1, Simon Rutter1, David L. Saunders1, Kathy Seeger1, Sarah Sharp1, Jason Skelton1, Mark Simmonds1, R. Squares1, S. Squares1, K. Stevens1, K. Taylor1, Ruth Taylor1, Adrian Tivey1, S. Walsh1, T. Warren1, S. Whitehead1, John Woodward1, Guido Volckaert3, Rita Aert3, Johan Robben3, B. Grymonprez3, I. Weltjens3, E. Vanstreels3, Michael A. Rieger, M. Schafer, S. Muller-Auer, C. Gabel, M. Fuchs, C. Fritzc, E. Holzer, D. Moestl, H. Hilbert, K. Borzym4, I. Langer4, Alfred Beck4, Hans Lehrach4, Richard Reinhardt4, Thomas M. Pohl5, P. Eger5, Wolfgang Zimmermann, H. Wedler, R. Wambutt, Bénédicte Purnelle6, André Goffeau6, Edouard Cadieu7, Stéphane Dréano7, Stéphanie Gloux7, Valerie Lelaure7, Stéphanie Mottier7, Francis Galibert7, Stephen J. Aves8, Z. Xiang8, Cherryl Hunt8, Karen Moore8, S. M. Hurst8, M. Lucas9, M. Rochet9, Claude Gaillardin9, Victor A. Tallada10, Victor A. Tallada11, Andrés Garzón11, Andrés Garzón10, G. Thode10, Rafael R. Daga10, Rafael R. Daga11, L. Cruzado10, Juan Jimenez10, Juan Jimenez11, Miguel del Nogal Sánchez12, F. del Rey12, J. Benito12, Angel Domínguez12, José L. Revuelta12, Sergio Moreno12, John Armstrong13, Susan L. Forsburg14, L. Cerrutti1, Todd M. Lowe15, W. R. McCombie16, Ian T. Paulsen17, Judith A. Potashkin18, G. V. Shpakovski19, David W. Ussery20, Bart Barrell1, Paul Nurse2 
21 Feb 2002-Nature
TL;DR: The genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote, is sequenced and highly conserved genes important for eukARYotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing are identified.
Abstract: We have sequenced and annotated the genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote: 4,824. The centromeres are between 35 and 110 kilobases (kb) and contain related repeats including a highly conserved 1.8-kb element. Regions upstream of genes are longer than in budding yeast (Saccharomyces cerevisiae), possibly reflecting more-extended control regions. Some 43% of the genes contain introns, of which there are 4,730. Fifty genes have significant similarity with human disease genes; half of these are cancer related. We identify highly conserved genes important for eukaryotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing. These genes may have originated with the appearance of eukaryotic life. Few similarly conserved genes that are important for multicellular organization were identified, suggesting that the transition from prokaryotes to eukaryotes required more new genes than did the transition from unicellular to multicellular organization.

1,686 citations

Journal ArticleDOI
TL;DR: The algorithm of the Program to Assemble Spliced Alignments (PASA) tool is described, as well as the results of automated updates to Arabidopsis gene annotations.
Abstract: The spliced alignment of expressed sequence data to genomic sequence has proven a key tool in the comprehensive annotation of genes in eukaryotic genomes. A novel algorithm was developed to assemble clusters of overlapping transcript alignments (ESTs and full-length cDNAs) into maximal alignment assemblies, thereby comprehensively incorporating all available transcript data and capturing subtle splicing variations. Complete and partial gene structures identified by this method were used to improve The Institute for Genomic Research Arabidopsis genome annotation (TIGR release v.4.0). The alignment assemblies permitted the automated modeling of several novel genes and >1000 alternative splicing variations as well as updates (including UTR annotations) to nearly half of the ~27 000 annotated protein coding genes. The algorithm of the Program to Assemble Spliced Alignments (PASA) tool is described, as well as the results of automated updates to Arabidopsis gene annotations.

1,441 citations


Authors

Showing all 170 results

NameH-indexPapersCitations
Steven L. Salzberg147407231756
Mark Raymond Adams1471187135038
Ian T. Paulsen11235469460
Claire M. Fraser10835276292
John Quackenbush9942767029
J. Craig Venter9721496263
Jacques Ravel8632345793
Owen White7810584710
C. Robin Buell7822425061
Jennifer R. Wortman7611571435
Brian J. Haas7513375680
Hans-Peter Klenk6756431086
William C. Nierman6515423950
Carol J. Bult6517841336
Neil Hall6519925490
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20093
200810
200723
200614
200524
200411