T. Manolio, Collaborative genome-wide association studies of diverse diseases: programs of the nhgris office of population genomics, Pharmacogenomics, vol.10, issue.2, 2009.

Y. Zhang, M. Blanton, and G. Almashaqbeh, Secure distributed genome analysis for gwas and sequence comparison computation, BMC medical informatics and decision making, vol.15, 2015.

Q. Li, T. Yang, and O. , Large-scale collaborative imaging genetics studies of risk genetic factors for alzheimers disease across multiple institutions, Int. Conf. on Medical Image Computing and ComputerAssisted Intervention, 2016.

C. Fuchsberger and J. Flannick, The genetic architecture of type 2 diabetes, Nature, 2016.

J. Luo and M. Wu, Big data application in biomedical research and health care: a literature review, Biomedical informatics insights, vol.8, 2016.

G. Cattaneo and R. Giancarlo, Mapreduce in computational biology-a synopsis, Italian WS on Artificial Life and Evolutionary Computation, 2016.

L. Dai and X. Gao, Bioinformatics clouds for big data manipulation, Biology direct, vol.7, issue.1, 2012.

R. Taylor, An overview of the hadoop/mapreduce/hbase framework and its current applications in bioinformatics, BMC bioinformatics, vol.11, issue.12, 2010.

N. Homer and S. Szelinger, Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays, PLOS Genetics, vol.4, issue.8, 2008.

F. Boujdad and M. Südholt, Constructive Privacy for Shared Genetic Data, CLOSER 2018 -8th Int. Conf. on Cloud Computing and Services Science, ser. Proceedings of CLOSER 2018, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01692620

J. S. Sousa and C. Lefebvre, Efficient and secure outsourcing of genomic data storage, BMC medical genomics, vol.10, issue.2, p.46, 2017.

Y. Zhang and W. Dai, Foresee: Fully outsourced secure genome study based on homomorphic encryption, BMC Medical Informatics and Decision Making, vol.15, issue.5, 2015.
DOI : 10.1186/1472-6947-15-s5-s5
URL : https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/1472-6947-15-S5-S5

W. Lu, Y. Yamada, and J. Sakuma, Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption, BMC medical informatics and decision making, vol.15, 2015.
DOI : 10.1186/1472-6947-15-s5-s1
URL : https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/1472-6947-15-S5-S1

S. Wang, Healer: homomorphic computation of exact logistic regression for secure rare disease variants analysis in gwas, Bioinformatics, vol.32, issue.2, 2016.

A. Acar, A survey on homomorphic encryption schemes: Theory and implementation, ACM Comput. Surv, vol.51, issue.4, 2018.
DOI : 10.1145/3214303

M. Canim, M. Kantarcioglu, and B. Malin, Secure management of biomedical data with cryptographic hardware, Trans. Info. Tech. Biomed, vol.16, issue.1, 2012.

F. Chen and C. Wang, Presage: Privacy-preserving genetic testing via software guard extension, BMC medical genomics, vol.10, issue.2, p.48, 2017.
DOI : 10.1186/s12920-017-0281-2
URL : https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-017-0281-2

N. Sadat and M. A. Aziz, SAFETY: secure gwas in federated environment through a hybrid solution with intel SGX and homomorphic encryption, CoRR, 2017.

V. Ciriani and S. Vimercati, Combining fragmentation and encryption to protect privacy in data storage, ACM Trans. Inf. Syst. Secur, vol.13, issue.3, 2010.

X. Li and L. Zhang, A novel workflow-level data placement strategy for data-sharing scientific cloud workflows, IEEE Trans. on Services Computing, 2016.

Z. Er-dun and Q. Yong-qiang, A data placement strategy based on genetic algorithm for scientific workflows, 2012 Eighth Int. Conf. on Computational Intelligence and Security, 2012.

D. Yuan and Y. Yang, A data placement strategy in scientific cloud workflows, Future Generation Computer Systems, vol.26, issue.8, 2010.

R. Stewart and P. Trinder, Comparing high level mapreduce query languages, Int. WS on Adv. Parallel Proc. Techn, 2011.
DOI : 10.1007/978-3-642-24151-2_5

M. Ebrahimi, Data placement and task mapping optimization for big data workflows in the cloud, 2017.

D. Agrawal and A. E. Abbadi, Data management challenges in cloud computing infrastructures, Int. WS on Databases in Networked Information Systems, 2010.

M. Ebrahimi and A. Mohan, Bdap: a big data placement strategy for cloud-based scientific workflows, 2015 IEEE First Int. Conf. on Big Data Computing Service and Applications, 2015.

C. Tan, L. Sun, and K. Liu, Big data architecture for pervasive healthcare: A literature review, ECIS, 2015.

K. Naganuma, Privacy preserving analysis technique for secure, cloud based big data analytics, Hitachi Rev, vol.63, issue.9, 2014.

C. Hasti and A. Hasti, Data security in cloud-based analytics, Big Data Analytics, 2018.

V. Kumar and R. Kumar, Fully homomorphic encryption scheme with probabilistic encryption based on eulers theorem and application in cloud computing, Big Data Analytics, 2018.

T. Doel and D. O. Shakir, Gift-cloud: A data sharing and collaboration platform for medical imaging research, computer methods and programs in biomedicine, vol.139, 2017.

L. Ohno-machado and V. Bafna, idash: integrating data for analysis, anonymization, and sharing, J. of the American Medical Informatics Association, vol.19, issue.2, 2011.
DOI : 10.1136/amiajnl-2011-000538
URL : https://academic.oup.com/jamia/article-pdf/19/2/196/6073770/19-2-196.pdf

Y. Gil and W. Cheung, Privacy enforcement in data analysis workflows, Proceedings of the 2007 Int. Conf. on Privacy Enforcement and Accountability with Semantics, vol.320, 2007.

S. Davidson and S. Khanna, Privacy issues in scientific workflow provenance, Proceedings of the 1st Int. WS on Workflow Approaches to New Data-centric Science, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00542339

A. Chebotko and S. Chang, Scientific workflow provenance querying with security views, The Ninth Int. Conf. on Web-Age Information Management, 2008.
DOI : 10.1109/waim.2008.41

A. Mckenna and M. Hanna, The genome analysis toolkit: a mapreduce framework for analyzing next-generation dna sequencing data, Genome research, vol.20, issue.9, 2010.

J. Gurtowski, M. Schatz, and B. Langmead, Genotyping in the cloud with crossbow, Current protocols in bioinformatics, vol.39, issue.1, 2012.

R. Karim and A. Michel, Improving data workflow systems with cloud services and use of open data for bioinformatics research, Briefings in bioinformatics, vol.19, issue.5, 2017.

S. Cohen-boulakia and K. Belhajjame, Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities, Future Generation Computer Systems, vol.75, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01516082

M. Atkinson and S. Gesing, Scientific workflows: Past, present and future, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01544818

V. Geoffroy and C. Pizot, Varank: a simple and powerful tool for ranking genetic variants, PeerJ, vol.3, 2015.

A. Dander and M. Handler, a workflow-based application for exploration of biomedical data sets, Trans. on large-scale data-and knowledge-centered systems IV, 2011.

Y. Lu and K. Tang, Cafe: accelerated alignment-free sequence analysis: Supplementary material, 2017.
DOI : 10.1093/nar/gkx351
URL : https://academic.oup.com/nar/article-pdf/45/W1/W554/23740961/gkx351.pdf

M. Zytnicki and H. Quesneville, S-mart, a software toolbox to aid rnaseq data analysis, PloS one, vol.6, issue.10, 2011.