TY  - JOUR
A1  - Read, Betsy A.
A1  - Kegel, Jessica
A1  - Klute, Mary J.
A1  - Kuo, Alan
A1  - Lefebvre, Stephane C.
A1  - Maumus, Florian
A1  - Mayer, Christoph
A1  - Miller, John
A1  - Monier, Adam
A1  - Salamov, Asaf
A1  - Young, Jeremy
A1  - Aguilar, Maria
A1  - Claverie, Jean-Michel
A1  - Frickenhaus, Stephan
A1  - Gonzalez, Karina
A1  - Herman, Emily K.
A1  - Lin, Yao-Cheng
A1  - Napier, Johnathan
A1  - Ogata, Hiroyuki
A1  - Sarno, Analissa F.
A1  - Shmutz, Jeremy
A1  - Schroeder, Declan
A1  - de Vargas, Colomban
A1  - Verret, Frederic
A1  - von Dassow, Peter
A1  - Valentin, Klaus
A1  - Van de Peer, Yves
A1  - Wheeler, Glen
A1  - Dacks, Joel B.
A1  - Delwiche, Charles F.
A1  - Dyhrman, Sonya T.
A1  - Glöckner, Gernot
A1  - John, Uwe
A1  - Richards, Thomas
A1  - Worden, Alexandra Z.
A1  - Zhang, Xiaoyu
A1  - Grigoriev, Igor V.
A1  - Allen, Andrew E.
A1  - Bidle, Kay
A1  - Borodovsky, M.
A1  - Bowler, C.
A1  - Brownlee, Colin
A1  - Cock, J. Mark
A1  - Elias, Marek
A1  - Gladyshev, Vadim N.
A1  - Groth, Marco
A1  - Guda, Chittibabu
A1  - Hadaegh, Ahmad
A1  - Iglesias-Rodriguez, Maria Debora
A1  - Jenkins, J.
A1  - Jones, Bethan M.
A1  - Lawson, Tracy
A1  - Leese, Florian
A1  - Lindquist, Erika
A1  - Lobanov, Alexei
A1  - Lomsadze, Alexandre
A1  - Malik, Shehre-Banoo
A1  - Marsh, Mary E.
A1  - Mackinder, Luke
A1  - Mock, Thomas
A1  - Müller-Röber, Bernd
A1  - Pagarete, Antonio
A1  - Parker, Micaela
A1  - Probert, Ian
A1  - Quesneville, Hadi
A1  - Raines, Christine
A1  - Rensing, Stefan A.
A1  - Riano-Pachon, Diego Mauricio
A1  - Richier, Sophie
A1  - Rokitta, Sebastian
A1  - Shiraiwa, Yoshihiro
A1  - Soanes, Darren M.
A1  - van der Giezen, Mark
A1  - Wahlund, Thomas M.
A1  - Williams, Bryony
A1  - Wilson, Willie
A1  - Wolfe, Gordon
A1  - Wurch, Louie L.
T1  - Pan genome of the phytoplankton Emiliania underpins its global distribution
JF  - Nature : the international weekly journal of science
N2  - Coccolithophores have influenced the global climate for over 200 million years(1). These marine phytoplankton can account for 20 per cent of total carbon fixation in some systems(2). They form blooms that can occupy hundreds of thousands of square kilometres and are distinguished by their elegantly sculpted calcium carbonate exoskeletons (coccoliths), rendering them visible from space(3). Although coccolithophores export carbon in the form of organic matter and calcite to the sea floor, they also release CO2 in the calcification process. Hence, they have a complex influence on the carbon cycle, driving either CO2 production or uptake, sequestration and export to the deep ocean(4). Here we report the first haptophyte reference genome, from the coccolithophore Emiliania huxleyi strain CCMP1516, and sequences from 13 additional isolates. Our analyses reveal a pan genome (core genes plus genes distributed variably between strains) probably supported by an atypical complement of repetitive sequence in the genome. Comparisons across strains demonstrate that E. huxleyi, which has long been considered a single species, harbours extensive genome variability reflected in different metabolic repertoires. Genome variability within this species complex seems to underpin its capacity both to thrive in habitats ranging from the equator to the subarctic and to form large-scale episodic blooms under a wide variety of environmental conditions.
Y1  - 2013
U6  - https://doi.org/10.1038/nature12221
SN  - 0028-0836
SN  - 1476-4687
VL  - 499
IS  - 7457
SP  - 209
EP  - 213
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Bergholz, Andre
A1  - Heymann, Stephan
A1  - Schenk, Jörg A.
A1  - Freytag, Johann Christoph
T1  - Sequence comparison using a relational database approach
Y1  - 1997
SN  - 0-8186-8114-4
ER  - 
TY  - JOUR
A1  - Bergholz, André
A1  - Heymann, Stephan
A1  - Schenk, Jörg A.
A1  - Freytag, Johann Christoph
T1  - Biological sequences integrated: a relational database approach
N2  - Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos. In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWISS-PROT to better serve the needs for these application domains. For this reason we propose a two step approach. First, we model the structure (and therefore the meaning of the) data using an Entity-Relationship approach. The ER model leads to a clean design of a relational database schema for storing and retrieving the DNA and protein data extracted from various sources. Our approach provides the clean basis for building complex biological applications that are more amenable to changes and software ports than their file-base counterparts.
Y1  - 2001
UR  - http://www.springerlink.com/app/home/ contribution.asp?wasp=161c4c19086a4dceac9312b46e5f2348&referrer=parent&backto=issue,1,5;journal,14,29;linkingpublicationr esults,1:102835,1
ER  -