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Eric Stahlberg
Researcher at Ohio State University
Publications - 34
Citations - 3665
Eric Stahlberg is an academic researcher from Ohio State University. The author has contributed to research in topics: Expressed sequence tag & Magnaporthe grisea. The author has an hindex of 17, co-authored 30 publications receiving 3245 citations. Previous affiliations of Eric Stahlberg include Ohio Supercomputer Center.
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Journal ArticleDOI
The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions
Sabeeha S. Merchant,Simon E. Prochnik,Olivier Vallon,Elizabeth H. Harris,Steven J. Karpowicz,George B. Witman,Astrid Terry,Asaf Salamov,Lillian K. Fritz-Laylin,Laurence Maréchal-Drouard,Wallace F. Marshall,Liang-Hu Qu,David R. Nelson,Anton A. Sanderfoot,Martin H. Spalding,Vladimir V. Kapitonov,Qinghu Ren,Patrick J. Ferris,Erika Lindquist,Harris Shapiro,Susan Lucas,Jane Grimwood,Jeremy Schmutz,Pierre Cardol,Pierre Cardol,Heriberto Cerutti,Guillaume Chanfreau,Chun-Long Chen,Valérie Cognat,Martin T. Croft,Rachel M. Dent,Susan K. Dutcher,Emilio Fernández,Hideya Fukuzawa,David González-Ballester,Diego González-Halphen,Armin Hallmann,Marc Hanikenne,Michael Hippler,William Inwood,Kamel Jabbari,Ming Kalanon,Richard Kuras,Paul A. Lefebvre,Stéphane D. Lemaire,Alexey V. Lobanov,Martin Lohr,Andrea L Manuell,Iris Meier,Laurens Mets,Maria Mittag,Telsa M. Mittelmeier,James V. Moroney,Jeffrey L. Moseley,Carolyn A. Napoli,Aurora M. Nedelcu,Krishna K. Niyogi,Sergey V. Novoselov,Ian T. Paulsen,Greg Pazour,Saul Purton,Jean-Philippe Ral,Diego Mauricio Riaño-Pachón,Wayne R. Riekhof,Linda A. Rymarquis,Michael Schroda,David B. Stern,James G. Umen,Robert D. Willows,Nedra F. Wilson,Sara L. Zimmer,Jens Allmer,Janneke Balk,Katerina Bisova,Chong-Jian Chen,Marek Eliáš,Karla C Gendler,Charles R. Hauser,Mary Rose Lamb,Heidi K. Ledford,Joanne C. Long,Jun Minagawa,M. Dudley Page,Junmin Pan,Wirulda Pootakham,Sanja Roje,Annkatrin Rose,Eric Stahlberg,Aimee M. Terauchi,Pinfen Yang,Steven G. Ball,Chris Bowler,Carol L. Dieckmann,Vadim N. Gladyshev,Pamela J. Green,Richard A. Jorgensen,Stephen P. Mayfield,Bernd Mueller-Roeber,Sathish Rajamani,Richard T. Sayre,Peter Brokstein,Inna Dubchak,David Goodstein,Leila Hornick,Y. Wayne Huang,Jinal Jhaveri,Yigong Luo,Diego Martinez,Wing Chi Abby Ngau,Bobby Otillar,Alexander Poliakov,Aaron Porter,Lukasz Szajkowski,Gregory Werner,Kemin Zhou,Igor V. Grigoriev,Daniel S. Rokhsar,Daniel S. Rokhsar,Arthur R. Grossman +118 more
TL;DR: Analyses of the Chlamydomonas genome advance the understanding of the ancestral eukaryotic cell, reveal previously unknown genes associated with photosynthetic and flagellar functions, and establish links between ciliopathy and the composition and function of flagella.
Journal ArticleDOI
Compilation of mRNA polyadenylation signals in Arabidopsis revealed a new signal element and potential secondary structures.
TL;DR: The results will enable the current model of plant poly(A) signals to be revised and tools to predict 3′-ends for gene annotation to be developed.
Journal ArticleDOI
Coiled-coil protein composition of 22 proteomes – differences and common themes in subcellular infrastructure and traffic control
TL;DR: MultiCoil predicts proteins with extended coiled-coil domains to be largely absent from bacterial genomes, but present in archaea and eukaryotes, indicating their ancient nature.
Journal ArticleDOI
Large-Scale Identification of Expressed Sequence Tags Involved in Rice and Rice Blast Fungus Interaction
Chatchawan Jantasuriyarat,Malali Gowda,Karl Haller,Jamie Hatfield,Guodong Lu,Eric Stahlberg,Bo Zhou,Huameng Li,Hy Ran Kim,Yeisoo Yu,Ralph A. Dean,Rod A. Wing,Carol Soderlund,Guo-Liang Wang +13 more
TL;DR: The large cataloged collection of rice ESTs in this study provides a solid foundation for further characterization of the rice defense response and is a useful public genomic resource for rice functional genomics studies.
Journal ArticleDOI
Predicting tumor cell line response to drug pairs with deep learning
Fangfang Xia,Fangfang Xia,Maulik Shukla,Thomas Brettin,Cristina Garcia-Cardona,Judith D. Cohn,Jonathan E. Allen,Sergei Maslov,Susan Holbeck,James H. Doroshow,Yvonne A. Evrard,Eric Stahlberg,Rick Stevens,Rick Stevens +13 more
TL;DR: A computational model for predicting cell line response to a subset of drug pairs in the NCI-ALMANAC database is presented and promising results in applying deep learning to predicting combinational drug response are presented.