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Bringaud F, Müller M, Cerqueira GCoutinho, Smith M, Rochette A, el-Sayed NMA, Papadopoulou B, Ghedin E.  2007.  Members of a large retroposon family are determinants of post-transcriptional gene expression in Leishmania.. PLoS Pathog. 3(9):1291-307.
Shaked I, Oberhardt  A., Atias N, Sharan R, Ruppin E.  2016.  Metabolic Network Prediction of Drug Side Effects. Cell Systems. 2(3):209-213.
Shaked I, Oberhardt  A., Atias N, Sharan R, Ruppin E.  2016.  Metabolic Network Prediction of Drug Side Effects. Cell Systems. 2(3):209-213.
Hasan NA, W. Chowdhury B, Rahim N, Sultana M, S. Shabnam A, Mai V, Ali A, Morris GJ, R. Sack B, Huq A et al..  2011.  Metagenomic 16S rDNA Targeted PCR-DGGE in Determining Bacterial Diversity in Aquatic Ecosystem. Bangladesh Journal of MicrobiologyBangladesh Journal of Microbiology. 27
Hasan NA, W. Chowdhury B, Rahim N, Sultana M, S. Shabnam A, Mai V, Ali A, Morris GJ, R. Sack B, Huq A et al..  2011.  Metagenomic 16S rDNA Targeted PCR-DGGE in Determining Bacterial Diversity in Aquatic Ecosystem. Bangladesh Journal of MicrobiologyBangladesh Journal of Microbiology. 27
Hasan NA, W. Chowdhury B, Rahim N, Sultana M, S. Shabnam A, Mai V, Ali A, Morris GJ, R. Sack B, Huq A et al..  2011.  Metagenomic 16S rDNA Targeted PCR-DGGE in Determining Bacterial Diversity in Aquatic Ecosystem. Bangladesh Journal of MicrobiologyBangladesh Journal of Microbiology. 27
Gill SR, Pop M., DeBoy RT, Eckburg PB, Turnbaugh PJ, Samuel BS, Gordon JI, Relman DA, Fraser-Liggett CM, Nelson KE.  2006.  Metagenomic Analysis of the Human Distal Gut Microbiome. ScienceScienceScienceScience. 312
Treangen T, Koren S., Sommer D.D, Liu B., Astrovskaya I, Ondov B., Darling A.E, Phillippy A.M, Pop M..  2013.  MetAMOS: a modular and open source metagenomic assembly and analysis pipeline. Genome BiolGenome Biol. 14
Lindsay B., Oundo J., Hossain M.A, Antonio M., Tamboura B., Walker A.W, Paulson J.N, Parkhill J., Omore R., Faruque A.S et al..  2015.  Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
Lindsay B., Oundo J., Hossain M.A, Antonio M., Tamboura B., Walker A.W, Paulson J.N, Parkhill J., Omore R., Faruque A.S et al..  2015.  Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
Lindsay B., Oundo J., Hossain M.A, Antonio M., Tamboura B., Walker A.W, Paulson J.N, Parkhill J., Omore R., Faruque A.S et al..  2015.  Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
Lindsay B., Oundo J., Hossain M.A, Antonio M., Tamboura B., Walker A.W, Paulson J.N, Parkhill J., Omore R., Faruque A.S et al..  2015.  Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
Lindsay B., Oundo J., Hossain M.A, Antonio M., Tamboura B., Walker A.W, Paulson J.N, Parkhill J., Omore R., Faruque A.S et al..  2015.  Microbiota that affect risk for shigellosis in children in low-income countries. Emerg Infect DisEmerg Infect Dis. 21:242-50.
Hansen M., Everett L., Singh L., Hannenhalli S.  2009.  Mimosa: mixture model of co-expression to detect modulators of regulatory interaction. Algorithms in BioinformaticsAlgorithms in Bioinformatics.
Hansen M, Everett L, Singh L, Hannenhalli S.  2010.  Mimosa: Mixture model of co-expression to detect modulators of regulatory interaction. Algorithms for Molecular BiologyAlgorithms for Molecular Biology. 5
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Field D, Garrity G, Gray T, Morrison N, Selengut J., Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV et al..  2008.  The minimum information about a genome sequence (MIGS) specification. Nature biotechnologyNature biotechnology. 26
Sommer D., Delcher A., Salzberg S., Pop M..  2007.  Minimus: a fast, lightweight genome assembler. BMC bioinformaticsBMC Bioinformatics. 8
Sommer D., Delcher A., Salzberg S., Pop M..  2007.  Minimus: a fast, lightweight genome assembler. BMC bioinformaticsBMC Bioinformatics. 8
Marbach-Ad G, McAdams KC, Benson S, Briken V, Cathcart L, Chase M, El-Sayed NM, Frauwirth K, Fredericksen B, Joseph SW et al..  2010.  A model for using a concept inventory as a tool for students' assessment and faculty professional development.. CBE Life Sci Educ. 9(4):408-16.

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