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ORCIDSikander Hayat
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Journal Articles
- 2022
[j8]Yang Xu
, Simon J. Baumgart, Christian M. Stegmann, Sikander Hayat:
MACA: marker-based automatic cell-type annotation for single-cell expression data. Bioinform. 38(6): 1756-1760 (2022)- 2016
- [j7]Sikander Hayat, Christoph Peters, Nanjiang Shu, Konstantinos D. Tsirigos, Arne Elofsson:
Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins. Bioinform. 32(10): 1571-1573 (2016) - 2014
- [j6]Mirco Michel, Sikander Hayat, Marcin J. Skwark, Chris Sander, Debora S. Marks, Arne Elofsson:
PconsFold: improved contact predictions improve protein models. Bioinform. 30(17): 482-488 (2014) - 2012
- [j5]Sikander Hayat, Arne Elofsson:
BOCTOPUS: improved topology prediction of transmembrane β barrel proteins. Bioinform. 28(4): 516-522 (2012) - [j4]Sikander Hayat, Arne Elofsson:
Ranking models of transmembrane β-barrel proteins using Z-coordinate predictions. Bioinform. 28(12): 90-96 (2012) - 2011
- [j3]Sikander Hayat, Yungki Park, Volkhard Helms:
Statistical analysis and exposure status classification of transmembrane beta barrel residues. Comput. Biol. Chem. 35(2): 96-107 (2011) - [j2]Sikander Hayat, Peter Walter, Yungki Park, Volkhard Helms:
Prediction of the Exposure Status of transmembrane beta Barrel residues from protein Sequence. J. Bioinform. Comput. Biol. 9(1): 43-65 (2011) - 2007
- [j1]Yungki Park, Sikander Hayat, Volkhard Helms:
Prediction of the burial status of transmembrane residues of helical membrane proteins. BMC Bioinform. 8 (2007)
Conference and Workshop Papers
- 2014
- [c4]Thomas Hinze, Konrad Grützmann, Benny Höckner, Peter Sauer, Sikander Hayat:
Categorised Counting Mediated by Blotting Membrane Systems for Particle-Based Data Mining and Numerical Algorithms. Int. Conf. on Membrane Computing 2014: 241-257 - 2008
- [c3]Thomas Hinze, Thorsten Lenser, Naoki Matsumaru, Peter Dittrich, Sikander Hayat:
Biosignal-Based Computing By AHL Induced Synthetic Gene Regulatory Networks - From an in vivo Flip-Flop Implementation to Programmable Computing Agents. BIOSIGNALS (1) 2008: 162-169 - 2007
- [c2]Thomas Hinze, Sikander Hayat, Thorsten Lenser, Naoki Matsumaru, Peter Dittrich:
Hill Kinetics Meets P Systems: A Case Study on Gene Regulatory Networks as Computing Agents in silico and in vivo. Workshop on Membrane Computing 2007: 320-335 - 2006
- [c1]Sikander Hayat, Kai Ostermann, Lutz Brusch, Wolfgang Pompe, Gerhard Rödel:
Towards in vivo computing: quantitative analysis of an artificial gene regulatory network behaving as a RS flip-flop and simulating the system in silico. BIONETICS 2006: 5
Coauthor Index
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