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SCRY: Extending SPARQL with Custom Data Processing Methods for the Life Sciences.

, , , , and . SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)

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To SCRY Linked Data: Extending SPARQL the Easy Way., , , , and . Diversity++@ISWC, volume 1501 of CEUR Workshop Proceedings, page 8-14. CEUR-WS.org, (2015)A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding., , , and . ICMLA, page 168-173. IEEE Computer Society, (2006)Enabling grand-canonical Monte Carlo: Extending the flexibility of GROMACS through the GromPy python interface module, , , , , and . Journal of Computational Chemistry, 33 (12): 1207--1214 (May 2012)SCRY: Extending SPARQL with Custom Data Processing Methods for the Life Sciences., , , , and . SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Tracking repeats using significance and transitivity., and . ISMB/ECCB (Supplement of Bioinformatics), page 311-317. (2004)A Million-Fold Speed Improvement in Genomic Repeats Detection., , and . SC, page 20. ACM, (2003)FAIR Principles: Interpretations and Implementation Considerations., , , , , , , , , and 34 other author(s). Data Intell., 2 (1-2): 10-29 (2020)Explaining disease using big data: How valid is your pathway?, , , , and . HPCS, page 662-664. IEEE, (2015)SCRY: Enabling Quantitative Reasoning in SPARQL Queries., , , , and . SWAT4LS, volume 1546 of CEUR Workshop Proceedings, page 214-215. CEUR-WS.org, (2015)Bioinformatics and Systems Biology: bridging the gap between heterogeneous student backgrounds, , , , , and . Briefings in Bioinformatics, 14 (5): 589--598 (Sep 1, 2013)