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Items: 1 to 20 of 27

1.

Nucleotide Weight Matrices Reveal Ubiquitous Mutational Footprints of AID/APOBEC Deaminases in Human Cancer Genomes.

Rogozin IB, Roche-Lima A, Lada AG, Belinky F, Sidorenko IA, Glazko GV, Babenko VN, Cooper DN, Pavlov YI.

Cancers (Basel). 2019 Feb 12;11(2). pii: E211. doi: 10.3390/cancers11020211.

2.

Metaproteomics reveals potential mechanisms by which dietary resistant starch supplementation attenuates chronic kidney disease progression in rats.

Zybailov BL, Glazko GV, Rahmatallah Y, Andreyev DS, McElroy T, Karaduta O, Byrum SD, Orr L, Tackett AJ, Mackintosh SG, Edmondson RD, Kieffer DA, Martin RJ, Adams SH, Vaziri ND, Arthur JM.

PLoS One. 2019 Jan 30;14(1):e0199274. doi: 10.1371/journal.pone.0199274. eCollection 2019.

3.

Evasion of regulatory phosphorylation by an alternatively spliced isoform of Musashi2.

MacNicol MC, Cragle CE, McDaniel FK, Hardy LL, Wang Y, Arumugam K, Rahmatallah Y, Glazko GV, Wilczynska A, Childs GV, Zhou D, MacNicol AM.

Sci Rep. 2017 Sep 14;7(1):11503. doi: 10.1038/s41598-017-11917-3.

4.

Conservation of the Exon-Intron Structure of Long Intergenic Non-Coding RNA Genes in Eutherian Mammals.

Chernikova D, Managadze D, Glazko GV, Makalowski W, Rogozin IB.

Life (Basel). 2016 Jul 15;6(3). pii: E27. doi: 10.3390/life6030027.

5.

Protein-protein interaction analysis for functional characterization of helicases.

Zybailov BL, Byrd AK, Glazko GV, Rahmatallah Y, Raney KD.

Methods. 2016 Oct 1;108:56-64. doi: 10.1016/j.ymeth.2016.04.014. Epub 2016 Apr 20. Review.

6.

Effects of subsampling on characteristics of RNA-seq data from triple-negative breast cancer patients.

Stupnikov A, Glazko GV, Emmert-Streib F.

Chin J Cancer. 2015 Aug 8;34(10):427-38. doi: 10.1186/s40880-015-0040-8.

7.

A stress-activated, p38 mitogen-activated protein kinase-ATF/CREB pathway regulates posttranscriptional, sequence-dependent decay of target RNAs.

Gao J, Wagnon JL, Protacio RM, Glazko GV, Beggs M, Raj V, Davidson MK, Wahls WP.

Mol Cell Biol. 2013 Aug;33(15):3026-35. doi: 10.1128/MCB.00349-13. Epub 2013 Jun 3.

8.

Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential.

Tripathi S, Glazko GV, Emmert-Streib F.

Nucleic Acids Res. 2013 Apr;41(7):e82. doi: 10.1093/nar/gkt054. Epub 2013 Feb 6.

9.

Large Scale Chemical Cross-linking Mass Spectrometry Perspectives.

Zybailov BL, Glazko GV, Jaiswal M, Raney KD.

J Proteomics Bioinform. 2013 Feb 8;6(Suppl 2):001.

10.

Computational prediction of polycomb-associated long non-coding RNAs.

Glazko GV, Zybailov BL, Rogozin IB.

PLoS One. 2012;7(9):e44878. doi: 10.1371/journal.pone.0044878. Epub 2012 Sep 13.

11.

A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data.

Emmert-Streib F, de Matos Simoes R, Tripathi S, Glazko GV, Dehmer M.

Sci Rep. 2012;2:513. doi: 10.1038/srep00513. Epub 2012 Jul 20.

12.

Evolution of gene expression and expression plasticity in long-term experimental populations of Drosophila melanogaster maintained under constant and variable ethanol stress.

Yampolsky LY, Glazko GV, Fry JD.

Mol Ecol. 2012 Sep;21(17):4287-99. doi: 10.1111/j.1365-294X.2012.05697.x. Epub 2012 Jul 9.

13.

Statistical inference and reverse engineering of gene regulatory networks from observational expression data.

Emmert-Streib F, Glazko GV, Altay G, de Matos Simoes R.

Front Genet. 2012 Feb 3;3:8. doi: 10.3389/fgene.2012.00008. eCollection 2012.

14.

Pathway analysis of expression data: deciphering functional building blocks of complex diseases.

Emmert-Streib F, Glazko GV.

PLoS Comput Biol. 2011 May;7(5):e1002053. doi: 10.1371/journal.pcbi.1002053. Epub 2011 May 26. No abstract available.

15.

Network biology: a direct approach to study biological function.

Emmert-Streib F, Glazko GV.

Wiley Interdiscip Rev Syst Biol Med. 2011 Jul-Aug;3(4):379-91. doi: 10.1002/wsbm.134. Epub 2010 Dec 31.

PMID:
21197659
16.

Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets.

Glazko GV, Emmert-Streib F.

Bioinformatics. 2009 Sep 15;25(18):2348-54. doi: 10.1093/bioinformatics/btp406. Epub 2009 Jul 2.

17.

Evolution and diversification of lamprey antigen receptors: evidence for involvement of an AID-APOBEC family cytosine deaminase.

Rogozin IB, Iyer LM, Liang L, Glazko GV, Liston VG, Pavlov YI, Aravind L, Pancer Z.

Nat Immunol. 2007 Jun;8(6):647-56. Epub 2007 Apr 29.

PMID:
17468760
18.
19.

Diversity and function of adaptive immune receptors in a jawless vertebrate.

Alder MN, Rogozin IB, Iyer LM, Glazko GV, Cooper MD, Pancer Z.

Science. 2005 Dec 23;310(5756):1970-3.

20.

p53 gain-of-function: tumor biology and bioinformatics come together.

Koonin EV, Rogozin IB, Glazko GV.

Cell Cycle. 2005 May;4(5):686-8. Epub 2005 May 28.

PMID:
15846083

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