The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing
Author(s) -
Patrick J. Keeling,
Fabien Burki,
Heather M. Wilcox,
Bassem Allam,
Eric E. Allen,
Linda AmaralZettler,
E. Virginia Armbrust,
John M. Archibald,
Arvind K. Bharti,
Callum J. Bell,
Bánk Beszteri,
Kay D. Bidle,
Connor Cameron,
Lisa Campbell,
David A. Caron,
Rose Ann Cattolico,
Jackie L. Collier,
Kathryn J. Coyne,
Simon K. Davy,
Phillipe Deschamps,
Sonya T. Dyhrman,
Bente Edvardsen,
Ruth D. Gates,
Christopher J. Gobler,
Spencer J. Greenwood,
Stephanie Guida,
Jennifer L. Jacobi,
Kjetill S. Jakobsen,
E. James,
Bethany D. Jenkins,
Uwe John,
Matthew D. Johnson,
Andrew R. Juhl,
Anja Kamp,
Laura A. Katz,
Ronald P. Kiene,
Alexander Kudryavtsev,
Brian S. Leander,
Senjie Lin,
Connie Lovejoy,
Denis H. Lynn,
Adrian Marchetti,
George B. McManus,
Aurora M. Nedelcu,
Susanne MendenDeuer,
Cristina Miceli,
Thomas Möck,
Marina Montresor,
Mary Ann Moran,
Shauna A. Murray,
Govind S. Nadathur,
Satoshi Nagai,
Peter Ngam,
Brian Palenik,
Jan Pawłowski,
Giulio Petroni,
Gwenaël Piganeau,
Matthew C. Posewitz,
Karin Rengefors,
Giovanna Romano,
Mary E. Rumpho,
Tatiana A. Rynearson,
Kelly Schilling,
Declan C. Schroeder,
Alastair G. B. Simpson,
Claudio H. Slamovits,
David Roy Smith,
G. Jason Smith,
Sarah R. Smith,
Heidi M. Sosik,
Peter Stief,
Edward C. Theriot,
Scott N. Twary,
Pooja Umale,
Daniel Vaulot,
Boris Wawrik,
Glen L. Wheeler,
William H. Wilson,
Yan Xu,
Adriana Zingone,
Alexandra Z. Worden
Publication year - 2014
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.1001889
Subject(s) - biology , transcriptome , eukaryote , evolutionary biology , computational biology , pyrosequencing , dna sequencing , de novo transcriptome assembly , deep sequencing , genetics , genome , gene , gene expression
Current sampling of genomic sequence data from eukaryotes is relatively poor, biased, and inadequate to address important questions about their biology, evolution, and ecology; this Community Page describes a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans.
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