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Items: 9

1.

Search for genes responsible for the remarkably high acetic acid tolerance of a Zygosaccharomyces bailii-derived interspecies hybrid strain.

Palma M, Roque Fde C, Guerreiro JF, Mira NP, Queiroz L, Sá-Correia I.

BMC Genomics. 2015 Dec 16;16:1070. doi: 10.1186/s12864-015-2278-6.

2.

Simple topological features reflect dynamics and modularity in protein interaction networks.

Pritykin Y, Singh M.

PLoS Comput Biol. 2013;9(10):e1003243. doi: 10.1371/journal.pcbi.1003243. Epub 2013 Oct 10.

3.

A context-sensitive framework for the analysis of human signalling pathways in molecular interaction networks.

Lan A, Ziv-Ukelson M, Yeger-Lotem E.

Bioinformatics. 2013 Jul 1;29(13):i210-6. doi: 10.1093/bioinformatics/btt240.

4.

Computational solutions for omics data.

Berger B, Peng J, Singh M.

Nat Rev Genet. 2013 May;14(5):333-46. doi: 10.1038/nrg3433. Review.

5.

From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.

Song J, Singh M.

PLoS Comput Biol. 2013;9(2):e1002910. doi: 10.1371/journal.pcbi.1002910. Epub 2013 Feb 21.

6.

Novel genes exhibit distinct patterns of function acquisition and network integration.

Capra JA, Pollard KS, Singh M.

Genome Biol. 2010;11(12):R127. doi: 10.1186/gb-2010-11-12-r127. Epub 2010 Dec 27.

7.

Toward the dynamic interactome: it's about time.

Przytycka TM, Singh M, Slonim DK.

Brief Bioinform. 2010 Jan;11(1):15-29. doi: 10.1093/bib/bbp057. Epub 2010 Jan 8. Review.

8.

The capabilities of chaos and complexity.

Abel DL.

Int J Mol Sci. 2009 Jan;10(1):247-91. doi: 10.3390/ijms10010247. Epub 2009 Jan 9. Review.

9.

NetGrep: fast network schema searches in interactomes.

Banks E, Nabieva E, Peterson R, Singh M.

Genome Biol. 2008;9(9):R138. doi: 10.1186/gb-2008-9-9-r138. Epub 2008 Sep 18.

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