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Items: 6

1.

Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility.

Srivastava A, Adusumilli R, Boyce H, Garijo D, Ratnakar V, Mayani R, Yu T, Machiraju R, Gil Y, Mallick P.

Pac Symp Biocomput. 2019;24:208-219.

2.

Towards Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata.

Jang M, Patted T, Gil Y, Garijo D, Ratnakar V, Ji J, Wang P, McMahon A, Thompson PM, Jahanshad N.

CEUR Workshop Proc. 2017 Oct;1931:63-70.

3.

Use of semantic workflows to enhance transparency and reproducibility in clinical omics.

Zheng CL, Ratnakar V, Gil Y, McWeeney SK.

Genome Med. 2015 Jul 25;7:73. doi: 10.1186/s13073-015-0202-y.

4.

Parameterized Specification, Configuration and Execution of Data-Intensive Scientific Workflows.

Kumar VS, Kurc T, Ratnakar V, Kim J, Mehta G, Vahi K, Nelson YL, Sadayappan P, Deelman E, Gil Y, Hall M, Saltz J.

Cluster Comput. 2010 Sep;13(3):315-333.

5.

An Integrated Framework for Parameter-based Optimization of Scientific Workflows.

Kumar VS, Sadayappan P, Mehta G, Vahi K, Deelman E, Ratnakar V, Kim J, Gil Y, Hall M, Kurc T, Saltz J.

Proc Int Symp High Perform Distrib Comput. 2009:177-186.

6.

An efficient algorithm for optimizing DCT quantization.

Ratnakar V, Livny M.

IEEE Trans Image Process. 2000;9(2):267-70. doi: 10.1109/83.821739.

PMID:
18255393

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