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Items: 1 to 20 of 128

1.

MyD88 is an essential component of retinoic acid-induced differentiation in human pluripotent embryonal carcinoma cells.

Sulaiman G, Cooke A, Ffrench B, Gasch C, Abdullai OA, O'Connor K, Elbaruni S, Blackshields G, Spillane C, Keegan H, McEneaney V, Knittel R, Rogers A, Jeffery IB, Doyle B, Bates M, d'Adhemar C, Lee MY, Campbell EL, Moynagh PN, Higgins DG, O'Toole S, O'Neill L, O'Leary JJ, Gallagher MF.

Cell Death Differ. 2017 Nov;24(11):1975-1986. doi: 10.1038/cdd.2017.124. Epub 2017 Sep 8.

PMID:
28885616
2.

Clustal Omega for making accurate alignments of many protein sequences.

Sievers F, Higgins DG.

Protein Sci. 2017 Sep 7. doi: 10.1002/pro.3290. [Epub ahead of print]

PMID:
28884485
3.

Retinoic acid and TGF-β signalling cooperate to overcome MYCN-induced retinoid resistance.

Duffy DJ, Krstic A, Halasz M, Schwarzl T, Konietzny A, Iljin K, Higgins DG, Kolch W.

Genome Med. 2017 Feb 10;9(1):15. doi: 10.1186/s13073-017-0407-3.

4.

Protein multiple sequence alignment benchmarking through secondary structure prediction.

Le Q, Sievers F, Higgins DG.

Bioinformatics. 2017 May 1;33(9):1331-1337. doi: 10.1093/bioinformatics/btw840.

5.

Multiple Origins of the Pathogenic Yeast Candida orthopsilosis by Separate Hybridizations between Two Parental Species.

Schröder MS, Martinez de San Vicente K, Prandini TH, Hammel S, Higgins DG, Bagagli E, Wolfe KH, Butler G.

PLoS Genet. 2016 Nov 2;12(11):e1006404. doi: 10.1371/journal.pgen.1006404. eCollection 2016 Nov.

6.

Identification of Non-Coding RNAs in the Candida parapsilosis Species Group.

Donovan PD, Schröder MS, Higgins DG, Butler G.

PLoS One. 2016 Sep 22;11(9):e0163235. doi: 10.1371/journal.pone.0163235. eCollection 2016.

7.

Wnt signalling is a bi-directional vulnerability of cancer cells.

Duffy DJ, Krstic A, Schwarzl T, Halasz M, Iljin K, Fey D, Haley B, Whilde J, Haapa-Paananen S, Fey V, Fischer M, Westermann F, Henrich KO, Bannert S, Higgins DG, Kolch W.

Oncotarget. 2016 Sep 13;7(37):60310-60331. doi: 10.18632/oncotarget.11203.

8.

Prolyl hydroxylase-1 regulates hepatocyte apoptosis in an NF-κB-dependent manner.

Fitzpatrick SF, Fábián Z, Schaible B, Lenihan CR, Schwarzl T, Rodriguez J, Zheng X, Li Z, Tambuwala MM, Higgins DG, O'Meara Y, Slattery C, Manresa MC, Fraisl P, Bruning U, Baes M, Carmeliet P, Doherty G, von Kriegsheim A, Cummins EP, Taylor CT.

Biochem Biophys Res Commun. 2016 Jun 3;474(3):579-586. doi: 10.1016/j.bbrc.2016.04.085. Epub 2016 Apr 27.

PMID:
27130823
9.

ProViz-a web-based visualization tool to investigate the functional and evolutionary features of protein sequences.

Jehl P, Manguy J, Shields DC, Higgins DG, Davey NE.

Nucleic Acids Res. 2016 Jul 8;44(W1):W11-5. doi: 10.1093/nar/gkw265. Epub 2016 Apr 16.

10.

Integrative omics reveals MYCN as a global suppressor of cellular signalling and enables network-based therapeutic target discovery in neuroblastoma.

Duffy DJ, Krstic A, Halasz M, Schwarzl T, Fey D, Iljin K, Mehta JP, Killick K, Whilde J, Turriziani B, Haapa-Paananen S, Fey V, Fischer M, Westermann F, Henrich KO, Bannert S, Higgins DG, Kolch W.

Oncotarget. 2015 Dec 22;6(41):43182-201. doi: 10.18632/oncotarget.6568.

11.

Using de novo protein structure predictions to measure the quality of very large multiple sequence alignments.

Fox G, Sievers F, Higgins DG.

Bioinformatics. 2016 Mar 15;32(6):814-20. doi: 10.1093/bioinformatics/btv592. Epub 2015 Nov 14.

PMID:
26568625
12.

Instability in progressive multiple sequence alignment algorithms.

Boyce K, Sievers F, Higgins DG.

Algorithms Mol Biol. 2015 Oct 9;10:26. doi: 10.1186/s13015-015-0057-1. eCollection 2015.

13.

Measuring Transcription Rate Changes via Time-Course 4-Thiouridine Pulse-Labelling Improves Transcriptional Target Identification.

Schwarzl T, Higgins DG, Kolch W, Duffy DJ.

J Mol Biol. 2015 Oct 23;427(21):3368-74. doi: 10.1016/j.jmb.2015.09.006. Epub 2015 Sep 9.

PMID:
26362006
14.

OD-seq: outlier detection in multiple sequence alignments.

Jehl P, Sievers F, Higgins DG.

BMC Bioinformatics. 2015 Aug 25;16:269. doi: 10.1186/s12859-015-0702-1.

15.

Reply to Tan et al.: Differences between real and simulated proteins in multiple sequence alignments.

Boyce K, Sievers F, Higgins DG.

Proc Natl Acad Sci U S A. 2015 Jan 13;112(2):E101. doi: 10.1073/pnas.1419351112. Epub 2015 Jan 6. No abstract available.

16.

Clustal omega.

Sievers F, Higgins DG.

Curr Protoc Bioinformatics. 2014 Dec 12;48:3.13.1-16. doi: 10.1002/0471250953.bi0313s48.

PMID:
25501942
17.

Systematic exploration of guide-tree topology effects for small protein alignments.

Sievers F, Hughes GM, Higgins DG.

BMC Bioinformatics. 2014 Oct 4;15:338. doi: 10.1186/1471-2105-15-338.

18.

Genes and signaling networks regulated during zebrafish optic vesicle morphogenesis.

Yin J, Morrissey ME, Shine L, Kennedy C, Higgins DG, Kennedy BN.

BMC Genomics. 2014 Sep 30;15:825. doi: 10.1186/1471-2164-15-825.

19.

Comparative phenotypic analysis of the major fungal pathogens Candida parapsilosis and Candida albicans.

Holland LM, Schröder MS, Turner SA, Taff H, Andes D, Grózer Z, Gácser A, Ames L, Haynes K, Higgins DG, Butler G.

PLoS Pathog. 2014 Sep 18;10(9):e1004365. doi: 10.1371/journal.ppat.1004365. eCollection 2014 Sep.

20.

Simple chained guide trees give high-quality protein multiple sequence alignments.

Boyce K, Sievers F, Higgins DG.

Proc Natl Acad Sci U S A. 2014 Jul 22;111(29):10556-61. doi: 10.1073/pnas.1405628111. Epub 2014 Jul 7.

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