Publications

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 646 results:

Filters: First Letter Of Last Name is S [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

M

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

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

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.

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.

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

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

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

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.

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.

Bloom JS, Khan Z, Kruglyak L, Singh M, Caudy AA. 2009. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.. BMC Genomics. 10:221.

Bloom JS, Khan Z, Kruglyak L, Singh M, Caudy AA. 2009. Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. BMC Genomics. 10(1):221.

Selengut J.. 2001. MDP-1 is a new and distinct member of the haloacid dehalogenase family of aspartate-dependent phosphohydrolases. BiochemistryBiochemistry. 40

Selengut J., Levine R.L. 2000. MDP-1: A novel eukaryotic magnesium-dependent phosphatase. BiochemistryBiochemistry. 39

Pages