Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 74

1.

Will biologists become computer scientists? A truly interdisciplinary effort by computer scientists and biologists to understand how cells process information may yield new insights for both fields.

Condon A, Kirchner H, Larivière D, Marshall W, Noireaux V, Tlusty T, Fourmentin E.

EMBO Rep. 2018 Jul 30. pii: e46628. doi: 10.15252/embr.201846628. [Epub ahead of print] No abstract available.

PMID:
30061101
2.

Stanniocalcin 2 expression is associated with a favourable outcome in male breast cancer.

Coulson-Gilmer C, Humphries MP, Sundara Rajan S, Droop A, Jackson S, Condon A, Cserni G, Jordan LB, Jones JL, Kanthan R, Di Benedetto A, Mottolese M, Provenzano E, Kulka J, Shaaban AM, Hanby AM, Speirs V.

J Pathol Clin Res. 2018 Jun 28. doi: 10.1002/cjp2.106. [Epub ahead of print]

3.

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models.

Ding J, Condon A, Shah SP.

Nat Commun. 2018 May 21;9(1):2002. doi: 10.1038/s41467-018-04368-5.

4.

Characterising the adipose-inflammatory microenvironment in male breast cancer.

Lees T, Cullinane A, Condon A, Shabaan AM, Humphries MP, Speirs V.

Endocr Relat Cancer. 2018 Jul;25(7):773-781. doi: 10.1530/ERC-17-0407. Epub 2018 May 9.

PMID:
29743167
5.

High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR.

Jimenez-Berni JA, Deery DM, Rozas-Larraondo P, Condon ATG, Rebetzke GJ, James RA, Bovill WD, Furbank RT, Sirault XRR.

Front Plant Sci. 2018 Feb 27;9:237. doi: 10.3389/fpls.2018.00237. eCollection 2018.

6.

Benefits of increasing transpiration efficiency in wheat under elevated CO2 for rainfed regions.

Christy B, Tausz-Posch S, Tausz M, Richards R, Rebetzke G, Condon A, McLean T, Fitzgerald G, Bourgault M, O'Leary G.

Glob Chang Biol. 2018 May;24(5):1965-1977. doi: 10.1111/gcb.14052. Epub 2018 Feb 20.

PMID:
29331062
7.

Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat.

Silva-Perez V, Molero G, Serbin SP, Condon AG, Reynolds MP, Furbank RT, Evans JR.

J Exp Bot. 2018 Jan 23;69(3):483-496. doi: 10.1093/jxb/erx421.

8.

Cocaine-induced adaptation of dopamine D2S, but not D2L autoreceptors.

Robinson BG, Condon AF, Radl D, Borrelli E, Williams JT, Neve KA.

Elife. 2017 Nov 20;6. pii: e31924. doi: 10.7554/eLife.31924.

9.

Design of nucleic acid strands with long low-barrier folding pathways.

Condon A, Kirkpatrick B, Maňuch J.

Nat Comput. 2017;16(2):261-284. doi: 10.1007/s11047-016-9587-9. Epub 2017 Jan 3.

10.

Schwann cell-specific deletion of the endosomal PI 3-kinase Vps34 leads to delayed radial sorting of axons, arrested myelination, and abnormal ErbB2-ErbB3 tyrosine kinase signaling.

Logan AM, Mammel AE, Robinson DC, Chin AL, Condon AF, Robinson FL.

Glia. 2017 Sep;65(9):1452-1470. doi: 10.1002/glia.23173. Epub 2017 Jun 15.

PMID:
28617998
11.

Biochemical model of C3 photosynthesis applied to wheat at different temperatures.

Silva-Pérez V, Furbank RT, Condon AG, Evans JR.

Plant Cell Environ. 2017 Aug;40(8):1552-1564. doi: 10.1111/pce.12953. Epub 2017 Jun 2.

PMID:
28338213
12.

Methodology for High-Throughput Field Phenotyping of Canopy Temperature Using Airborne Thermography.

Deery DM, Rebetzke GJ, Jimenez-Berni JA, James RA, Condon AG, Bovill WD, Hutchinson P, Scarrow J, Davy R, Furbank RT.

Front Plant Sci. 2016 Dec 6;7:1808. doi: 10.3389/fpls.2016.01808. eCollection 2016.

13.

Strategies to minimize vaccine errors.

Condon AJ, Hayney MS.

J Am Pharm Assoc (2003). 2016 May-Jun;56(3):339-41. doi: 10.1016/j.japh.2016.03.016. No abstract available.

PMID:
27156943
14.

densityCut: an efficient and versatile topological approach for automatic clustering of biological data.

Ding J, Shah S, Condon A.

Bioinformatics. 2016 Sep 1;32(17):2567-76. doi: 10.1093/bioinformatics/btw227. Epub 2016 Apr 23.

15.
16.

"Rolled-upness": phenotyping leaf rolling in cereals using computer vision and functional data analysis approaches.

Sirault XR, Condon AG, Wood JT, Farquhar GD, Rebetzke GJ.

Plant Methods. 2015 Nov 14;11:52. doi: 10.1186/s13007-015-0095-1. eCollection 2015.

17.

Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.

Ding J, McConechy MK, Horlings HM, Ha G, Chun Chan F, Funnell T, Mullaly SC, Reimand J, Bashashati A, Bader GD, Huntsman D, Aparicio S, Condon A, Shah SP.

Nat Commun. 2015 Oct 5;6:8554. doi: 10.1038/ncomms9554.

18.

Time to think about how EMRs can evolve.

Allard M, Banewski CC, Bermack B, Blignaut J, Chanel AM, Condon A, Desjardins M, Do K, Duerksen M, Duff E, Fourie T, Guenther D, Holmes C, Houston A, McQuarrie S, Naherniak S, Neufeld J, Permack S, Schoenborn B, Singer A, Sorensen T.

Can Fam Physician. 2015 Jul;61(7):593-5. No abstract available. Erratum in: Can Fam Physician. 2015 Aug;61(8):669. Sorenson, Tina [corrected to Sorensen, Tina].

19.

Recurrent selection for wider seedling leaves increases early biomass and leaf area in wheat (Triticum aestivum L.).

Zhang L, Richards RA, Condon AG, Liu DC, Rebetzke GJ.

J Exp Bot. 2015 Mar;66(5):1215-26. doi: 10.1093/jxb/eru468. Epub 2014 Dec 11.

20.

Reachability bounds for chemical reaction networks and strand displacement systems.

Condon A, Kirkpatrick B, Maňuch J.

Nat Comput. 2014;13(4):499-516.

21.

A fast and robust iterative algorithm for prediction of RNA pseudoknotted secondary structures.

Jabbari H, Condon A.

BMC Bioinformatics. 2014 May 18;15:147. doi: 10.1186/1471-2105-15-147.

22.

The determination of RNA folding nearest neighbor parameters.

Andronescu M, Condon A, Turner DH, Mathews DH.

Methods Mol Biol. 2014;1097:45-70. doi: 10.1007/978-1-62703-709-9_3. Review.

PMID:
24639154
23.

Exogenous GA3 application can compensate the morphogenetic effects of the GA-responsive dwarfing gene Rht12 in bread wheat.

Chen L, Hao L, Condon AG, Hu YG.

PLoS One. 2014 Jan 20;9(1):e86431. doi: 10.1371/journal.pone.0086431. eCollection 2014.

24.

GA-responsive dwarfing gene Rht12 affects the developmental and agronomic traits in common bread wheat.

Chen L, Phillips AL, Condon AG, Parry MA, Hu YG.

PLoS One. 2013 Apr 26;8(4):e62285. doi: 10.1371/journal.pone.0062285. Print 2013.

25.

Less haste, less waste: on recycling and its limits in strand displacement systems.

Condon A, Hu AJ, Maňuch J, Thachuk C.

Interface Focus. 2012 Aug 6;2(4):512-21. doi: 10.1098/rsfs.2011.0106. Epub 2012 Feb 15.

26.

The dynamin-like GTPase Sey1p mediates homotypic ER fusion in S. cerevisiae.

Anwar K, Klemm RW, Condon A, Severin KN, Zhang M, Ghirlando R, Hu J, Rapoport TA, Prinz WA.

J Cell Biol. 2012 Apr 16;197(2):209-17. doi: 10.1083/jcb.201111115.

27.

Analysis of energy-based algorithms for RNA secondary structure prediction.

Hajiaghayi M, Condon A, Hoos HH.

BMC Bioinformatics. 2012 Feb 1;13:22. doi: 10.1186/1471-2105-13-22.

28.

Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.

Ding J, Bashashati A, Roth A, Oloumi A, Tse K, Zeng T, Haffari G, Hirst M, Marra MA, Condon A, Aparicio S, Shah SP.

Bioinformatics. 2012 Jan 15;28(2):167-75. doi: 10.1093/bioinformatics/btr629. Epub 2011 Nov 13.

29.

Mercury exposure in terrestrial birds far downstream of an historical point source.

Jackson AK, Evers DC, Folsom SB, Condon AM, Diener J, Goodrick LF, McGann AJ, Schmerfeld J, Cristol DA.

Environ Pollut. 2011 Dec;159(12):3302-8. doi: 10.1016/j.envpol.2011.08.046. Epub 2011 Sep 8.

PMID:
21903311
30.

Molecular programming: DNA and the brain.

Condon A.

Nature. 2011 Jul 20;475(7356):304-5. doi: 10.1038/475304a. No abstract available.

PMID:
21776073
31.

Floodplain methylmercury biomagnification factor higher than that of the contiguous river (South River, Virginia USA).

Newman MC, Xu X, Condon A, Liang L.

Environ Pollut. 2011 Oct;159(10):2840-4. doi: 10.1016/j.envpol.2011.04.045. Epub 2011 May 31.

PMID:
21621888
32.

Stability of mercury concentrations in frozen avian blood samples.

Varian-Ramos CW, Condon AM, Hallinger KK, Carlson-Drexler KA, Cristol DA.

Bull Environ Contam Toxicol. 2011 Feb;86(2):159-62. doi: 10.1007/s00128-010-0164-0. Epub 2010 Dec 5.

PMID:
21132490
33.

Raising yield potential of wheat. II. Increasing photosynthetic capacity and efficiency.

Parry MA, Reynolds M, Salvucci ME, Raines C, Andralojc PJ, Zhu XG, Price GD, Condon AG, Furbank RT.

J Exp Bot. 2011 Jan;62(2):453-67. doi: 10.1093/jxb/erq304. Epub 2010 Oct 27. Review.

PMID:
21030385
34.

Computational approaches for RNA energy parameter estimation.

Andronescu M, Condon A, Hoos HH, Mathews DH, Murphy KP.

RNA. 2010 Dec;16(12):2304-18. doi: 10.1261/rna.1950510. Epub 2010 Oct 12.

35.

Importance of pre-anthesis anther sink strength for maintenance of grain number during reproductive stage water stress in wheat.

Ji X, Shiran B, Wan J, Lewis DC, Jenkins CL, Condon AG, Richards RA, Dolferus R.

Plant Cell Environ. 2010 Jun;33(6):926-42. doi: 10.1111/j.1365-3040.2010.02130.x. Epub 2010 Mar 1.

36.

Improved free energy parameters for RNA pseudoknotted secondary structure prediction.

Andronescu MS, Pop C, Condon AE.

RNA. 2010 Jan;16(1):26-42. doi: 10.1261/rna.1689910. Epub 2009 Nov 20.

37.

An algorithm for the energy barrier problem without pseudoknots and temporary arcs.

Thachuk C, Manuch J, Rafiey A, Mathieson LA, Stacho L, Condon A.

Pac Symp Biocomput. 2010:108-19.

38.

Protective effects of glycoursodeoxycholic acid in Barrett's esophagus cells.

Goldman A, Condon A, Adler E, Minnella M, Bernstein C, Bernstein H, Dvorak K.

Dis Esophagus. 2010 Feb;23(2):83-93. doi: 10.1111/j.1442-2050.2009.00993.x. Epub 2009 Jun 22.

PMID:
19549210
39.

An O(n(5)) algorithm for MFE prediction of kissing hairpins and 4-chains in nucleic acids.

Chen HL, Condon A, Jabbari H.

J Comput Biol. 2009 Jun;16(6):803-15. doi: 10.1089/cmb.2008.0219.

PMID:
19522664
40.

Feather growth influences blood mercury level of young songbirds.

Condon AM, Cristol DA.

Environ Toxicol Chem. 2009 Feb;28(2):395-401. doi: 10.1897/08-094.1.

PMID:
18937528
41.

Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations.

Rebetzke GJ, Condon AG, Farquhar GD, Appels R, Richards RA.

Theor Appl Genet. 2008 Dec;118(1):123-37. doi: 10.1007/s00122-008-0882-4. Epub 2008 Sep 26.

PMID:
18818897
42.

Different mechanisms of adaptation to cyclic water stress in two South Australian bread wheat cultivars.

Izanloo A, Condon AG, Langridge P, Tester M, Schnurbusch T.

J Exp Bot. 2008;59(12):3327-46. doi: 10.1093/jxb/ern199. Epub 2008 Aug 13.

43.

RNA STRAND: the RNA secondary structure and statistical analysis database.

Andronescu M, Bereg V, Hoos HH, Condon A.

BMC Bioinformatics. 2008 Aug 13;9:340. doi: 10.1186/1471-2105-9-340.

44.

The movement of aquatic mercury through terrestrial food webs.

Cristol DA, Brasso RL, Condon AM, Fovargue RE, Friedman SL, Hallinger KK, Monroe AP, White AE.

Science. 2008 Apr 18;320(5874):335. doi: 10.1126/science.1154082.

45.

Novel and efficient RNA secondary structure prediction using hierarchical folding.

Jabbari H, Condon A, Zhao S.

J Comput Biol. 2008 Mar;15(2):139-63. doi: 10.1089/cmb.2007.0198.

PMID:
18312147
46.

Acceptance of colonoscopy requires more than test tolerance.

Condon A, Graff L, Elliot L, Ilnyckyj A.

Can J Gastroenterol. 2008 Jan;22(1):41-7.

47.

Initial association of NR2E1 with bipolar disorder and identification of candidate mutations in bipolar disorder, schizophrenia, and aggression through resequencing.

Kumar RA, McGhee KA, Leach S, Bonaguro R, Maclean A, Aguirre-Hernandez R, Abrahams BS, Coccaro EF, Hodgins S, Turecki G, Condon A, Muir WJ, Brooks-Wilson AR, Blackwood DH, Simpson EM.

Am J Med Genet B Neuropsychiatr Genet. 2008 Sep 5;147B(6):880-9. doi: 10.1002/ajmg.b.30696.

PMID:
18205168
48.

Efficient parameter estimation for RNA secondary structure prediction.

Andronescu M, Condon A, Hoos HH, Mathews DH, Murphy KP.

Bioinformatics. 2007 Jul 1;23(13):i19-28.

PMID:
17646296
49.

Parsing nucleic acid pseudoknotted secondary structure: algorithm and applications.

Rastegari B, Condon A.

J Comput Biol. 2007 Jan-Feb;14(1):16-32.

PMID:
17381343
50.

Computational RNA secondary structure design: empirical complexity and improved methods.

Aguirre-Hernández R, Hoos HH, Condon A.

BMC Bioinformatics. 2007 Jan 31;8:34.

Supplemental Content

Loading ...
Support Center