Our Logo

The IGBB logo features a stylized "pinwheel" to the left of the letters IGBB in caps in a modified Bank Gothic Pro font.

The six-part "pinwheel" in the IGBB logo is:

A symbol of lab unity as it shows "parts" coming together to make a "whole."
A flower or three-leaf clover representing (a) plants, important subjects of our research, (b) life in general, and (c) the life sciences (biology).
A set of chromosomes being moved towards the center of a cell.
The Sun - another symbol of life.
A protein composed of six subunits (e.g., a protein pore).
Three foxes putting their heads together. The fox is a symbol of cleverness in Western folklore. Since the IGBB is organized into three service groups (Genomics, Proteomics/Metabolomics, and Biocomputing/Computational Biology), the foxes could represent the three disciplines working together.
A scientist jumping for joy after making an important discovery.
A windmill, the primary symbol associated with Cervantes' famous character Don Quixote - Like Don Quixote, scientists must be willing to attack 'wicked giants' (e.g., ignorance, racism, sexism, intolerance, use of the term 'science' in the promotion of non-scientific causes), champion worthy causes (e.g., education, intellectual freedom, human rights, environmental responsibility), and remain optimistic in the face of defeat (e.g., most days in the lab). Hopefully, however, the average scientist can accomplish these tasks without becoming delusional (a problem that squashed Quixote's dreams of becoming a plant molecular biologist).
A DNA double-helix or protein in cross section.
Antibodies binding to a protein.
Whatever you want it to be.

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Dr. Mohit Verma

Postdoctoral Associate
BIOCOMPUTING
email

Pace 101

The Gene Ontology: Enhancements for 2011

High Impact Research

IGBB Authors:
Teresia J. Buza, Shane C. Burgess, Catherine R. Gresham, Fiona M. McCarthy

PUBLICATION YEAR: 2012
IMPACT FACTOR: 8.646
CITATION COUNT: 184

Blake JA, Dolan M, Drabkin H, Hill DP, Ni L, Sitnikov D, Burgess S, Buza T, Gresham C, McCarthy F, Pillai L, Wang H, Carbon S, Lewis SE, Mungall CJ, Gaudet P, Chisholm RL, Fey P, Kibbe WA, Basu S, Siegele DA, McIntosh BK, Renfro DP, Zweifel AE, Hu JC, Brown NH, Tweedie S, am-Faruque Y, Apweiler R, Auchinchloss A, Axelsen K, Argoud-Puy G, Bely B, Blatter MC, Bougueleret L, Boutet E, Branconi-Quintaje S, Breuza L, Bridge A, Browne P, Chan WM, Coudert E, Cusin I, Dimmer E, Duek-Roggli P, Eberhardt R, Estreicher A, Famiglietti L, Ferro-Rojas S, Feuermann M, Gardner M, Gos A, Gruaz-Gumowski N, Hinz U, Hulo C, Huntley R, James J, Jimenez S, Jungo F, Keller G, Laiho K, Legge D, Lemercier P, Lieberherr D, Magrane M, Martin MJ, Masson P, Moinat M, O'Donovan C, Pedruzzi I, Pichler K, Poggioli D, Porras Millan P, Poux S, Rivoire C, Roechert B, Sawford T, Schneider M, Sehra H, Stanley E, Stutz A, Sundaram S, Tognolli M, Xenarios I, Foulger R, Lomax J, Roncaglia P, Camon E, Khodiyar VK, Lovering RC, Talmud PJ, Chibucos M, Gwinn Giglio M, Dolinski K, Heinicke S, Livstone MS, Stephan R, Harris MA, Oliver SG, Rutherford K, Wood V, Bahler J, Lock A, Kersey PJ, McDowall MD, Staines DM, Dwinell M, Shimoyama M, Laulederkind S, Hayman T, Wang SJ, Petri V, Lowry T, D'Eustachio P, Matthews L, Amundsen CD, Balakrishnan R, Binkley G, Cherry JM, Christie KR, Costanzo MC, Dwight SS, Engel SR, Fisk DG, Hirschman JE, Hitz BC, Hong EL, Karra K, Krieger CJ, Miyasato SR, Nash RS, Park J, Skrzypek MS, Weng S, Wong ED, Berardini TZ, Li D, Huala E, Slonim D, Wick H, Thomas P, Chan J, Kishore R, Sternberg P, Van Auken K, Howe D, Westerfield M (2012) The Gene Ontology: Enhancements for 2011. Nucleic Acids Research 40(D1): D559-D564.

DOI: 10.1093/nar/gkr1028
EID: 2-s2.0-84859699831
PMID: 22102568

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ABSTRACT
The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources.

More High Impact Papers

The IGBB is supported, in part, by the following units:

Missisippi Agricultural & Forestry Experiment Station - MAFES

Office of Research & Economic Development - ORED

Division of Agriculture, Forestry & Veterinary Medicine - DAFVM

The IGBB is an HPC² member center.