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Alexandros Mittos, Bradley Malin and Emiliano De Cristofaro

References [ABOS15] M. Akgün, A. O. Bayrak, B. Ozer, and M. Ş. Sağgıroğglu. Privacy Preserving Processing of Genomic Data: A Survey. Journal of Biomedical Informatics , 56:103–111, 2015. [ADHT15] E. Ayday, E. De Cristofaro, J.-P. Hubaux, and G. Tsudik. The Chills and Thrills of Whole Genome Sequencing. IEEE Computer , 2015. [AKSX04] R. Agrawal, J. Kiernan, R. Srikant, and Y. Xu. Order Preserving Encryption for Numeric Data. In ACM SIGMOD , pages 563–574, 2004. [AMH + 16] A. Aziz, M. Momin, M. Z. Hasan, N. Mohammed, and D. Alhadidi

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Dominic Deuber, Christoph Egger, Katharina Fech, Giulio Malavolta, Dominique Schröder, Sri Aravinda Krishnan Thyagarajan, Florian Battke and Claudia Durand

References [1] Breast cancer risk factors - genetics. . [2] Python cryptography toolkit (pycrypto). . Accessed: 2017-05-18. [3] Research – 23andme. . [Online; accessed 28-May-2018]. [4] Researchkit. . [Online; accessed 28-May-2018]. [5] Initial sequencing and analysis of the human genome. Nature , 409(6822):860–921, 02 2001. [6] Gail-Joon Ahn, Moti Yung, and Ninghui Li

Open access

Dean Palejev

References 1. Anders, S., W. Huber. Differential Expression Analysis for Sequence Count Data. - Genome Biology, Vol. 11, 2010, R106. 2. Love, M. I., W. Huber, S. Anders. Moderated Estimation of Fold Change and Dispersion for RNA-seq Data with DESeq2. - Genome Biology, Vol. 12, 2014, No 12, 550. 3. Robinson, M. D., D. J. Mccarthy, G. K. Smyth. EdgeR: A Bioconductor Package for Differential Expression Analysis of Digital Gene

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Natalia Novoselova, Igor Tom, Arkady Borisov and Inese Polaka

, and M.A. Hall, “Gene selection from microarray data for cancer classification a machine learning approach”, in Comp Biol Chem., vol. 29, 2005, pp. 37-46. [5] R. Kohavi and G. John, “Wrapper for feature subset selection”, in Artificial Intelligence, vol. 97, no. 1, 1997, pp. 273-324. [6] J.G. Thomas, J.M. Olson, S.J. Tapscott, and L.P. Zhao, “An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles”, in Genome Res., vol. 11, 2001, pp. 1227

Open access

Shouguo Tang, Yong Li and Zhikun Zhang

Algorithm for Parameter Estimation of the 2-Chlorophenol Oxidation in Supercritical Water. - Applied Mathematical Modeling, Vol. 01.37, 2013, No 3, pp. 1137-1146. 20. Lobry, J. R., N. Sueoka. Asymmetric Directional Mutation Pressures in Bacteria. - Genome Biology, Vol. 3, 2002, No 10, pp. 00-14. 21. Shah, K., A. Krishnamachari. Nucleotide Correlation Based Measure for Identifying Origin of Replication in Genomic Sequences. - BioSystems, Vol. 107, 2012, No 1, pp. 52-55. 22. Schneider, T. D. A Brief Review of Molecular

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Jiao Li, Si Zheng, Hongyu Kang, Zhen Hou and Qing Qian

or standardized citation regulations. The Cancer Genome Atlas (TCGA) project was launched in 2005 and funded by the US government, and it aims to catalogue and discover major cancer-causing genomic alterations to help improve the clinical outcome of cancers ( Tomczak, Czerwinska, & Wiznerowicz, 2015 ). A major goal of the project was to provide publicly available cancer genomic datasets ( ) that include over 30 human cancer types (e.g. brain cancer, lung cancer, breast cancer, etc.) with multiple genomic profiles based on

Open access

Yuqing Mao and Zhiyong Lu

. Citation-based Usage-based Content-similarity-based PNAS PNAS PLOS Genetics Cell JBC PNAS Nature Nature MCB MCB Science PLOS One Science MCB Genome Research TAG Cell Nature Evolution Development Eukaryotic Cell EMBO Journal Genes & Development Evolution Genes & Development NAR MBoC NAR EMBO Journal Molecular Ecology JBC Current Biology: CB JBC MBE MBoC Science Journal of Bacteriology Developmental Biology Developmental Biology

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Zhesi Shen, Fuyou Chen, Liying Yang and Jinshan Wu

concentrated on computational/mathematical physics: J. Stat. Mech. Theory Exp , Phys. Rev. E and Eur. Phys. J. B clearly have this character. Similarly, when “Woman = Genome Biol ”, the resulted journals mainly focus on bioinformatics, the computational part of genome study; and when “Woman = J. Neurosci ”, the most similar journals are computational neuroscience journals. In all the above cases, the mathematical and computational character of the “King = PLoS Comput. Biol ” is more or less kept in the Queen journals. This also partially validates that the trained

Open access

Neil R. Smalheiser

; when his work failed to get recognized, he chose to get his proof out in an obscure journal called the Far East Journal of Theoretical Statistics . He might as well have put it in a bottle and thrown it in the ocean! Some of my own informatics discoveries have been closely related to undiscovered public knowledge. For example, my group discovered that many mammalian microRNAs are derived from genomic repeat elements in the genome ( Smalheiser & Torvik, 2005 ). Although we came to this realization through computational studies ( Smalheiser & Torvik, 2004 ), in fact

Open access

Haiyun Xu, Chao Wang, Kun Dong, Rui Luo, Zenghui Yue and Hongshen Pang

biology of Chinese Academy of Sciences BJ 13 17 Merial Co., Ltd. JX 13 18 Pulaike Biological Engineering Co., Ltd. HN 13 19 Shanghai Human Genome Research Center SH 13 20 South China Agricultural University GD 13 21 Wuhan University HB 12 22 Institute of Microbiology, Chinese Academy of Sciences BJ 11 23 China Agricultural University BJ 11 24 Xiamen University FJ 11 25 Zhejiang University ZJ 11 26 Institute of Medical Biotechnology of Chinese Academy