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Showing 6 open source projects for "cite"
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Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.
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LBSP
Real-Time Processing Library for OSHW Biomedical Sensors
...The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino-Genuino. This library is free to use for research. Please cite above publication. -
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tao-multishell
Shell to work with libgreattao applications
...Libgreattao applications won't run in normal mode, but network mode, so you can use it with tao-multishell. It allow to write script, which use many libgreattao applications. Due to ex. security reasons shell buildin in libgreattao disallow to cite command output or run another command. Tao-multishell fill this gap. -
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Soft-DeCO
Software-Defined Cloud Orchestration
Software-Defined Cloud Orchestration: An Integrated Architecture and Deployment Process This is an expansion of the project xSDN, an Expressive Simulator for Dynamic Network Flows. Please cite the below papers, if you used this project or referred to this in your work. Kathiravelu, Pradeeban; Veiga, Luis, "An Expressive Simulator for Dynamic Network Flows," Cloud Engineering (IC2E), 2015 IEEE International Conference on , vol., no., pp.311,316, 9-13 March 2015 doi: 10.1109/IC2E.2015.43 -
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birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. Bioinformatics. Volume 27, Issue 9. pp 1320-1321. doi: 10.1093/bioinformatics/btr109
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MPAC is an extensible, specification-based, and user-friendly benchmarking infrastructure, to target the performance characterization of multi-core systems. Please use following citation to cite the MPAC project: M. H. Jamal, G. Mustafa, A. Waheed, and W. Mahmood, “An extensible infrastructure for benchmarking multi-core processors based systems,” in Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems, Istanbul, Turkey, 2009, pp. 13-20.
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