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Items: 1 to 20 of 111

1.

Erratum to: A benchmark for RNA-seq quantification pipelines.

Teng M, Love MI, Davis CA, Djebali S, Dobin A, Graveley BR, Li S, Mason CE, Olson S, Pervouchine D, Sloan CA, Wei X, Zhan L, Irizarry RA.

Genome Biol. 2016 May 23;17(1):107. No abstract available.

2.

A benchmark for RNA-seq quantification pipelines.

Teng M, Love MI, Davis CA, Djebali S, Dobin A, Graveley BR, Li S, Mason CE, Olson S, Pervouchine D, Sloan CA, Wei X, Zhan L, Irizarry RA.

Genome Biol. 2016 Apr 23;17:74. doi: 10.1186/s13059-016-0940-1. Erratum in: Genome Biol. 2016;17(1):107.

3.

quantro: a data-driven approach to guide the choice of an appropriate normalization method.

Hicks SC, Irizarry RA.

Genome Biol. 2015 Jun 4;16:117. doi: 10.1186/s13059-015-0679-0.

4.

Proceedings of the second international molecular pathological epidemiology (MPE) meeting.

Ogino S, Campbell PT, Nishihara R, Phipps AI, Beck AH, Sherman ME, Chan AT, Troester MA, Bass AJ, Fitzgerald KC, Irizarry RA, Kelsey KT, Nan H, Peters U, Poole EM, Qian ZR, Tamimi RM, Tchetgen Tchetgen EJ, Tworoger SS, Zhang X, Giovannucci EL, van den Brandt PA, Rosner BA, Wang M, Chatterjee N, Begg CB.

Cancer Causes Control. 2015 Jul;26(7):959-72. doi: 10.1007/s10552-015-0596-2. Epub 2015 May 9.

5.

Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin.

Vandiver AR, Irizarry RA, Hansen KD, Garza LA, Runarsson A, Li X, Chien AL, Wang TS, Leung SG, Kang S, Feinberg AP.

Genome Biol. 2015 Apr 16;16:80. doi: 10.1186/s13059-015-0644-y.

6.

Orchestrating high-throughput genomic analysis with Bioconductor.

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M.

Nat Methods. 2015 Feb;12(2):115-21. doi: 10.1038/nmeth.3252. Review.

7.

MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

Li W, Xu H, Xiao T, Cong L, Love MI, Zhang F, Irizarry RA, Liu JS, Brown M, Liu XS.

Genome Biol. 2014;15(12):554.

8.

Large hypomethylated blocks as a universal defining epigenetic alteration in human solid tumors.

Timp W, Bravo HC, McDonald OG, Goggins M, Umbricht C, Zeiger M, Feinberg AP, Irizarry RA.

Genome Med. 2014 Aug 26;6(8):61. doi: 10.1186/s13073-014-0061-y. eCollection 2014.

9.

KRLMM: an adaptive genotype calling method for common and low frequency variants.

Liu R, Dai Z, Yeager M, Irizarry RA, Ritchie ME.

BMC Bioinformatics. 2014 May 23;15:158. doi: 10.1186/1471-2105-15-158.

10.

Visualization and probability-based scoring of structural variants within repetitive sequences.

Halper-Stromberg E, Steranka J, Burns KH, Sabunciyan S, Irizarry RA.

Bioinformatics. 2014 Jun 1;30(11):1514-21. doi: 10.1093/bioinformatics/btu054. Epub 2014 Feb 4.

11.

Accounting for cellular heterogeneity is critical in epigenome-wide association studies.

Jaffe AE, Irizarry RA.

Genome Biol. 2014 Feb 4;15(2):R31. doi: 10.1186/gb-2014-15-2-r31.

12.

Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, Irizarry RA.

Bioinformatics. 2014 May 15;30(10):1363-9. doi: 10.1093/bioinformatics/btu049. Epub 2014 Jan 28.

13.

Differential expression analysis of RNA-seq data at single-base resolution.

Frazee AC, Sabunciyan S, Hansen KD, Irizarry RA, Leek JT.

Biostatistics. 2014 Jul;15(3):413-26. doi: 10.1093/biostatistics/kxt053. Epub 2014 Jan 6. Erratum in: Biostatistics. 2014 Jul;15(3):584-5.

14.

The Gene Expression Barcode 3.0: improved data processing and mining tools.

McCall MN, Jaffee HA, Zelisko SJ, Sinha N, Hooiveld G, Irizarry RA, Zilliox MJ.

Nucleic Acids Res. 2014 Jan;42(Database issue):D938-43. doi: 10.1093/nar/gkt1204. Epub 2013 Nov 22.

15.

Recommendations for the design and analysis of epigenome-wide association studies.

Michels KB, Binder AM, Dedeurwaerder S, Epstein CB, Greally JM, Gut I, Houseman EA, Izzi B, Kelsey KT, Meissner A, Milosavljevic A, Siegmund KD, Bock C, Irizarry RA.

Nat Methods. 2013 Oct;10(10):949-55. doi: 10.1038/nmeth.2632. Review.

PMID:
24076989
16.

Measuring cell-type specific differential methylation in human brain tissue.

Montaño CM, Irizarry RA, Kaufmann WE, Talbot K, Gur RE, Feinberg AP, Taub MA.

Genome Biol. 2013 Aug 30;14(8):R94. doi: 10.1186/gb-2013-14-8-r94.

17.

ChIP-PED enhances the analysis of ChIP-seq and ChIP-chip data.

Wu G, Yustein JT, McCall MN, Zilliox M, Irizarry RA, Zeller K, Dang CV, Ji H.

Bioinformatics. 2013 May 1;29(9):1182-9. doi: 10.1093/bioinformatics/btt108. Epub 2013 Mar 1.

18.

DNA methylation alterations exhibit intraindividual stability and interindividual heterogeneity in prostate cancer metastases.

Aryee MJ, Liu W, Engelmann JC, Nuhn P, Gurel M, Haffner MC, Esopi D, Irizarry RA, Getzenberg RH, Nelson WG, Luo J, Xu J, Isaacs WB, Bova GS, Yegnasubramanian S.

Sci Transl Med. 2013 Jan 23;5(169):169ra10. doi: 10.1126/scitranslmed.3005211.

19.

Improved base-calling and quality scores for 454 sequencing based on a Hurdle Poisson model.

Beuf KD, Schrijver JD, Thas O, Criekinge WV, Irizarry RA, Clement L.

BMC Bioinformatics. 2012 Nov 15;13:303. doi: 10.1186/1471-2105-13-303.

20.

Gene expression anti-profiles as a basis for accurate universal cancer signatures.

Bravo HC, Pihur V, McCall M, Irizarry RA, Leek JT.

BMC Bioinformatics. 2012 Oct 22;13:272. doi: 10.1186/1471-2105-13-272.

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