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Items: 1 to 20 of 140

1.

Validation of oligoarrays for quantitative exploration of the transcriptome.

Nygaard V, Liu F, Holden M, Kuo WP, Trimarchi J, Ohno-Machado L, Cepko CL, Frigessi A, Glad IK, Wiel MA, Hovig E, Lyng H.

BMC Genomics. 2008 May 30;9:258. doi: 10.1186/1471-2164-9-258.

2.

Deep and comparative analysis of the mycelium and appressorium transcriptomes of Magnaporthe grisea using MPSS, RL-SAGE, and oligoarray methods.

Gowda M, Venu RC, Raghupathy MB, Nobuta K, Li H, Wing R, Stahlberg E, Couglan S, Haudenschild CD, Dean R, Nahm BH, Meyers BC, Wang GL.

BMC Genomics. 2006 Dec 8;7:310.

3.

[Transcriptomes for serial analysis of gene expression].

Marti J, Piquemal D, Manchon L, Commes T.

J Soc Biol. 2002;196(4):303-7. Review. French.

PMID:
12645300
4.

Deep analysis of cellular transcriptomes - LongSAGE versus classic MPSS.

Hene L, Sreenu VB, Vuong MT, Abidi SH, Sutton JK, Rowland-Jones SL, Davis SJ, Evans EJ.

BMC Genomics. 2007 Sep 24;8:333.

5.

Generation of longer 3' cDNA fragments from massively parallel signature sequencing tags.

Silva AP, Chen J, Carraro DM, Wang SM, Camargo AA.

Nucleic Acids Res. 2004 Jul 6;32(12):e94.

6.

Analysis of tag-position bias in MPSS technology.

Chen J, Rattray M.

BMC Genomics. 2006 Apr 7;7:77.

7.

The impact of SNPs on the interpretation of SAGE and MPSS experimental data.

Silva AP, De Souza JE, Galante PA, Riggins GJ, De Souza SJ, Camargo AA.

Nucleic Acids Res. 2004 Nov 23;32(20):6104-10. Print 2004.

8.

Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips.

van Ruissen F, Ruijter JM, Schaaf GJ, Asgharnegad L, Zwijnenburg DA, Kool M, Baas F.

BMC Genomics. 2005 Jun 14;6:91.

10.

A combination of LongSAGE with Solexa sequencing is well suited to explore the depth and the complexity of transcriptome.

Hanriot L, Keime C, Gay N, Faure C, Dossat C, Wincker P, Scoté-Blachon C, Peyron C, Gandrillon O.

BMC Genomics. 2008 Sep 16;9:418. doi: 10.1186/1471-2164-9-418.

11.

A comparison of gene expression profiles produced by SAGE, long SAGE, and oligonucleotide chips.

Lu J, Lal A, Merriman B, Nelson S, Riggins G.

Genomics. 2004 Oct;84(4):631-6.

PMID:
15475240
12.

A rapid method for computationally inferring transcriptome coverage and microarray sensitivity.

Reverter A, McWilliam SM, Barris W, Dalrymple BP.

Bioinformatics. 2005 Jan 1;21(1):80-9. Epub 2004 Aug 12.

PMID:
15308544
13.

A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis.

Chen J, Agrawal V, Rattray M, West MA, St Clair DA, Michelmore RW, Coughlan SJ, Meyers BC.

BMC Genomics. 2007 Nov 12;8:414.

14.

Identitag, a relational database for SAGE tag identification and interspecies comparison of SAGE libraries.

Keime C, Damiola F, Mouchiroud D, Duret L, Gandrillon O.

BMC Bioinformatics. 2004 Oct 6;5:143.

15.

Transcriptome annotation using tandem SAGE tags.

Rivals E, Boureux A, Lejeune M, Ottones F, Pérez OP, Tarhio J, Pierrat F, Ruffle F, Commes T, Marti J.

Nucleic Acids Res. 2007;35(17):e108. Epub 2007 Aug 20.

16.

Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data.

Galante PA, Trimarchi J, Cepko CL, de Souza SJ, Ohno-Machado L, Kuo WP.

Bioinformatics. 2007 Apr 1;23(7):903-5. Epub 2007 Feb 3.

PMID:
17277333
17.

Direct comparison of GeneChip and SAGE on the quantitative accuracy in transcript profiling analysis.

Ishii M, Hashimoto S, Tsutsumi S, Wada Y, Matsushima K, Kodama T, Aburatani H.

Genomics. 2000 Sep 1;68(2):136-43.

PMID:
10964511
18.

Analysis of SAGE data in human platelets: features of the transcriptome in an anucleate cell.

Dittrich M, Birschmann I, Pfrang J, Herterich S, Smolenski A, Walter U, Dandekar T.

Thromb Haemost. 2006 Apr;95(4):643-51.

PMID:
16601835
19.
20.

Comparative expression profiling in grape (Vitis vinifera) berries derived from frequency analysis of ESTs and MPSS signatures.

Iandolino A, Nobuta K, da Silva FG, Cook DR, Meyers BC.

BMC Plant Biol. 2008 May 12;8:53. doi: 10.1186/1471-2229-8-53.

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