Gültas M - Search Results

1

Quantum coupled mutation finder: predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming.

Gültas M, Düzgün G, Herzog S, Jäger SJ, Meckbach C, Wingender E, Waack S. Gültas M, et al. BMC Bioinformatics. 2014 Apr 3;15:96. doi: 10.1186/1471-2105-15-96. BMC Bioinformatics. 2014. PMID: 24694117 Free PMC article.

2

Coupled mutation finder: a new entropy-based method quantifying phylogenetic noise for the detection of compensatory mutations.

Gültas M, Haubrock M, Tüysüz N, Waack S. Gültas M, et al. BMC Bioinformatics. 2012 Sep 11;13:225. doi: 10.1186/1471-2105-13-225. BMC Bioinformatics. 2012. PMID: 22963049 Free PMC article.

3

CRF-based models of protein surfaces improve protein-protein interaction site predictions.

Dong Z, Wang K, Dang TK, Gültas M, Welter M, Wierschin T, Stanke M, Waack S. Dong Z, et al. Among authors: gultas m. BMC Bioinformatics. 2014 Aug 13;15(1):277. doi: 10.1186/1471-2105-15-277. BMC Bioinformatics. 2014. PMID: 25124108 Free PMC article.

4

PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information.

Meckbach C, Tacke R, Hua X, Waack S, Wingender E, Gültas M. Meckbach C, et al. Among authors: gultas m. BMC Bioinformatics. 2015 Dec 1;16:400. doi: 10.1186/s12859-015-0827-2. BMC Bioinformatics. 2015. PMID: 26627005 Free PMC article.

5

Constructing temporal regulatory cascades in the context of development and cell differentiation.

Daou R, Beißbarth T, Wingender E, Gültas M, Haubrock M. Daou R, et al. Among authors: gultas m. PLoS One. 2020 Apr 10;15(4):e0231326. doi: 10.1371/journal.pone.0231326. eCollection 2020. PLoS One. 2020. PMID: 32275727 Free PMC article.

6

Computational Identification of Key Regulators in Two Different Colorectal Cancer Cell Lines.

Wlochowitz D, Haubrock M, Arackal J, Bleckmann A, Wolff A, Beißbarth T, Wingender E, Gültas M. Wlochowitz D, et al. Among authors: gultas m. Front Genet. 2016 Apr 5;7:42. doi: 10.3389/fgene.2016.00042. eCollection 2016. Front Genet. 2016. PMID: 27092172 Free PMC article.

7

Removing Background Co-occurrences of Transcription Factor Binding Sites Greatly Improves the Prediction of Specific Transcription Factor Cooperations.

Meckbach C, Wingender E, Gültas M. Meckbach C, et al. Among authors: gultas m. Front Genet. 2018 May 29;9:189. doi: 10.3389/fgene.2018.00189. eCollection 2018. Front Genet. 2018. PMID: 29896218 Free PMC article.

8

Computational Detection of Stage-Specific Transcription Factor Clusters during Heart Development.

Zeidler S, Meckbach C, Tacke R, Raad FS, Roa A, Uchida S, Zimmermann WH, Wingender E, Gültas M. Zeidler S, et al. Among authors: gultas m. Front Genet. 2016 Mar 23;7:33. doi: 10.3389/fgene.2016.00033. eCollection 2016. Front Genet. 2016. PMID: 27047536 Free PMC article.

9

Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues.

Steuernagel L, Meckbach C, Heinrich F, Zeidler S, Schmitt AO, Gültas M. Steuernagel L, et al. Among authors: gultas m. PLoS One. 2019 May 16;14(5):e0216475. doi: 10.1371/journal.pone.0216475. eCollection 2019. PLoS One. 2019. PMID: 31095599 Free PMC article.

10

The synaptic ribbon is critical for sound encoding at high rates and with temporal precision.

Jean P, Lopez de la Morena D, Michanski S, Jaime Tobón LM, Chakrabarti R, Picher MM, Neef J, Jung S, Gültas M, Maxeiner S, Neef A, Wichmann C, Strenzke N, Grabner C, Moser T. Jean P, et al. Among authors: gultas m. Elife. 2018 Jan 12;7:e29275. doi: 10.7554/eLife.29275. Elife. 2018. PMID: 29328020 Free PMC article.

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