Papers
   Journal Papers
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21. Y. Asgari, Z. Zabihinpour and A. Masoudi-Nejad,
SCAN-Toolbox: Structural COBRA Add-oN (SCAN) for Analysing Large Metabolic Networks,
Current Bioinformatics 13(2018), 100-107 - DOI: https://doi.org/10.2174/1574893611666161123123729  [abstract]   
 
22. F. Salari, F. Zare-Mirakabad, M. Sadeghi and H. Rokni-Zadeh,
Assessing the impact of exact reads on reducing the error rate of read mapping,
BMC Bioinformatics 19(2018), 406 - https://doi.org/10.1186/s12859-018-2432-7  [abstract]   
 
23. A. R. Alizad-Rahvar and M. Sadeghi,
Ambiguity in logic-based models of gene regulatory networks: An integrative multi-perturbation analysis,
PlosOne 13(2018), https://doi.org/10.1371/journal.pone.0206976  [abstract]   
 
24. J. Shamsara,
Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data,
Computational Life Sciences https://doi.org/10.1007/s12539-017-0280-1(2018), 1-10  [abstract]   
 
25. M. Mirzaei,
Hydrophobic residues can identify native protein structures,
Proteins: Structure, Function and Bioinformatics 86(2018), 467-474  [abstract]   
 
26. T. Baghfalaki, M. Ganjali and D. M. Berridge,
Generalized estimating equations by considering additive terms for analyzing time-course gene sets data,
Journal of the Korean Statistical Society (2018),   [abstract]   
 
27. M. Ganjali and T. Baghfalaki,
Application of Penalized Mixed Model in Identification of Genes in Yeast Cell-Cycle Gene Expression Data,
Biostatistics and Biometrics 6(2018),   [abstract]   
 
28. M. Eslami, R. Shirali Hossein Zade, Z. Takalloo, G. Mahdevar, A. Emamjomeh, R. H.Sajedi and J. Zahiri,
afpCOOL: A tool for antifreeze protein prediction,
Heliyon 4(2018), https://doi.org/10.1016/j.heliyon.2018.e00705  [abstract]   
 
29. T. Bahrami, S. Zarvandi, R. De Mot, H. Gross, M. Changi-Ashtiani, T. Shahani and H. Rokni-Zadeh,
Draft Genome Sequence of Pseudomonas gingeri Strain LMG 5327, the Causative Agent of Ginger Blotch in Agaricus bisporus,
Genome announcements 6(2018), 196-218  [abstract]   
 
30. A. Mani-Varnosfaderani, M. Sadat Neiband and A. Benvidi,
Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques,
Molecular diversity (2018), 1-19  [abstract]   
 

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