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Items: 1 to 20 of 88

1.

Mutant resources in rice for functional genomics of the grasses.

Krishnan A, Guiderdoni E, An G, Hsing YI, Han CD, Lee MC, Yu SM, Upadhyaya N, Ramachandran S, Zhang Q, Sundaresan V, Hirochika H, Leung H, Pereira A.

Plant Physiol. 2009 Jan;149(1):165-70. doi: 10.1104/pp.108.128918. No abstract available.

2.

RMD: a rice mutant database for functional analysis of the rice genome.

Zhang J, Li C, Wu C, Xiong L, Chen G, Zhang Q, Wang S.

Nucleic Acids Res. 2006 Jan 1;34(Database issue):D745-8.

3.

[Ac/Ds tagging system and functional genomics in rice].

Luan WJ, Sun ZX.

Zhi Wu Sheng Li Yu Fen Zi Sheng Wu Xue Xue Bao. 2005 Oct;31(5):441-50. Review. Chinese.

PMID:
16222085
4.

OryGenesDB: a database for rice reverse genetics.

Droc G, Ruiz M, Larmande P, Pereira A, Piffanelli P, Morel JB, Dievart A, Courtois B, Guiderdoni E, Périn C.

Nucleic Acids Res. 2006 Jan 1;34(Database issue):D736-40.

5.

OryGenesDB 2008 update: database interoperability for functional genomics of rice.

Droc G, Périn C, Fromentin S, Larmande P.

Nucleic Acids Res. 2009 Jan;37(Database issue):D992-5. doi: 10.1093/nar/gkn821. Epub 2008 Nov 26.

6.

Genomic resources for functional analyses of the rice genome.

Yang Y, Li Y, Wu C.

Curr Opin Plant Biol. 2013 May;16(2):157-63. doi: 10.1016/j.pbi.2013.03.010. Epub 2013 Apr 6. Review.

PMID:
23571012
7.

Rice functional genomics research in China.

Han B, Xue Y, Li J, Deng XW, Zhang Q.

Philos Trans R Soc Lond B Biol Sci. 2007 Jun 29;362(1482):1009-21.

8.

How can we use genomics to improve cereals with rice as a reference genome?

Xu Y, McCouch SR, Zhang Q.

Plant Mol Biol. 2005 Sep;59(1):7-26.

PMID:
16217598
9.

Contribution of the Tos17 retrotransposon to rice functional genomics.

Hirochika H.

Curr Opin Plant Biol. 2001 Apr;4(2):118-22. Review.

PMID:
11228433
10.

Phenome analysis in plant species using loss-of-function and gain-of-function mutants.

Kuromori T, Takahashi S, Kondou Y, Shinozaki K, Matsui M.

Plant Cell Physiol. 2009 Jul;50(7):1215-31. doi: 10.1093/pcp/pcp078. Epub 2009 Jun 5. Review.

11.

The Rice PIPELINE: a unification tool for plant functional genomics.

Yazaki J, Kojima K, Suzuki K, Kishimoto N, Kikuchi S.

Nucleic Acids Res. 2004 Jan 1;32(Database issue):D383-7.

12.

Reverse genetic approaches for functional genomics of rice.

An G, Jeong DH, Jung KH, Lee S.

Plant Mol Biol. 2005 Sep;59(1):111-23. Review.

PMID:
16217606
13.

Rice mutant resources for gene discovery.

Hirochika H, Guiderdoni E, An G, Hsing YI, Eun MY, Han CD, Upadhyaya N, Ramachandran S, Zhang Q, Pereira A, Sundaresan V, Leung H.

Plant Mol Biol. 2004 Feb;54(3):325-34.

PMID:
15284490
14.

Functional characterization of rice genes using a gene-indexed T-DNA insertional mutant population.

Jung KH, An G.

Methods Mol Biol. 2013;956:57-67. doi: 10.1007/978-1-62703-194-3_5.

PMID:
23135844
15.

Effort and contribution of T-DNA Insertion mutant library for rice functional genomics research in China: review and perspective.

Chang Y, Long T, Wu C.

J Integr Plant Biol. 2012 Dec;54(12):953-66. doi: 10.1111/j.1744-7909.2012.01171.x. Epub 2012 Nov 29. Review.

PMID:
23020748
16.

EU-OSTID: a collection of transposon insertional mutants for functional genomics in rice.

van Enckevort LJ, Droc G, Piffanelli P, Greco R, Gagneur C, Weber C, González VM, Cabot P, Fornara F, Berri S, Miro B, Lan P, Rafel M, Capell T, Puigdomènech P, Ouwerkerk PB, Meijer AH, Pe' E, Colombo L, Christou P, Guiderdoni E, Pereira A.

Plant Mol Biol. 2005 Sep;59(1):99-110.

PMID:
16217605
17.

Mutant resources for the functional analysis of the rice genome.

Wang N, Long T, Yao W, Xiong L, Zhang Q, Wu C.

Mol Plant. 2013 May;6(3):596-604. doi: 10.1093/mp/sss142. Epub 2012 Nov 30. Review.

18.

Methods for rice phenomics studies.

Chern CG, Fan MJ, Huang SC, Yu SM, Wei FJ, Wu CC, Trisiriroj A, Lai MH, Chen S, Hsing YI.

Methods Mol Biol. 2011;678:129-38. doi: 10.1007/978-1-60761-682-5_10.

PMID:
20931377
19.

Towards a better bowl of rice: assigning function to tens of thousands of rice genes.

Jung KH, An G, Ronald PC.

Nat Rev Genet. 2008 Feb;9(2):91-101. Review.

PMID:
18160965
20.

Development of an efficient inverse PCR method for isolating gene tags from T-DNA insertional mutants in rice.

Kim SR, Jeon JS, An G.

Methods Mol Biol. 2011;678:139-46. doi: 10.1007/978-1-60761-682-5_11.

PMID:
20931378
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