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Items: 1 to 20 of 27

1.

A systematic search for discriminating sites in the 16S ribosomal RNA gene.

Vinje H, Almøy T, Liland KH, Snipen L.

Microb Inform Exp. 2014 Jan 27;4(1):2. doi: 10.1186/2042-5783-4-2.

2.

Deep sequencing of evolving pathogen populations: applications, errors, and bioinformatic solutions.

McElroy K, Thomas T, Luciani F.

Microb Inform Exp. 2014 Jan 15;4(1):1. doi: 10.1186/2042-5783-4-1.

3.

Sialic acid utilization by Cronobacter sakazakii.

Joseph S, Hariri S, Masood N, Forsythe S.

Microb Inform Exp. 2013 May 24;3(1):3. doi: 10.1186/2042-5783-3-3.

4.

Beginner's guide to comparative bacterial genome analysis using next-generation sequence data.

Edwards DJ, Holt KE.

Microb Inform Exp. 2013 Apr 10;3(1):2. doi: 10.1186/2042-5783-3-2.

5.

An efficient rRNA removal method for RNA sequencing in GC-rich bacteria.

Peano C, Pietrelli A, Consolandi C, Rossi E, Petiti L, Tagliabue L, De Bellis G, Landini P.

Microb Inform Exp. 2013 Jan 7;3(1):1. doi: 10.1186/2042-5783-3-1.

6.

Bioinformatic identification of Mycobacterium tuberculosis proteins likely to target host cell mitochondria: virulence factors?

Moreno-Altamirano MM, Paredes-González IS, Espitia C, Santiago-Maldonado M, Hernández-Pando R, Sánchez-García FJ.

Microb Inform Exp. 2012 Dec 22;2(1):9. doi: 10.1186/2042-5783-2-9.

7.

Analysis of evolutionary patterns of genes in Campylobacter jejuni and C. coli.

Snipen L, Wassenaar TM, Altermann E, Olson J, Kathariou S, Lagesen K, Takamiya M, Knøchel S, Ussery DW, Meinersmann RJ.

Microb Inform Exp. 2012 Aug 28;2(1):8. doi: 10.1186/2042-5783-2-8.

8.

Computational genomics-proteomics and Phylogeny analysis of twenty one mycobacterial genomes (Tuberculosis & non Tuberculosis strains).

Zakham F, Aouane O, Ussery D, Benjouad A, Ennaji MM.

Microb Inform Exp. 2012 Aug 28;2(1):7. doi: 10.1186/2042-5783-2-7.

9.

Bacterial phylogenetic tree construction based on genomic translation stop signals.

Xu L, Kuo J, Liu JK, Wong TY.

Microb Inform Exp. 2012 May 31;2(1):6. doi: 10.1186/2042-5783-2-6.

10.

Growth comparison of several Escherichia coli strains exposed to various concentrations of lactoferrin using linear spline regression.

Sekse C, Bohlin J, Skjerve E, Vegarud GE.

Microb Inform Exp. 2012 Apr 16;2:5. doi: 10.1186/2042-5783-2-5.

11.

Mycobacterium tuberculosis and Clostridium difficille interactomes: demonstration of rapid development of computational system for bacterial interactome prediction.

Ananthasubramanian S, Metri R, Khetan A, Gupta A, Handen A, Chandra N, Ganapathiraju M.

Microb Inform Exp. 2012 Mar 21;2:4. doi: 10.1186/2042-5783-2-4.

12.

Metagenomics - a guide from sampling to data analysis.

Thomas T, Gilbert J, Meyer F.

Microb Inform Exp. 2012 Feb 9;2(1):3. doi: 10.1186/2042-5783-2-3.

13.

Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments.

Helal M, Kong F, Chen SC, Zhou F, Dwyer DE, Potter J, Sintchenko V.

Microb Inform Exp. 2012 Jan 26;2(1):2. doi: 10.1186/2042-5783-2-2.

14.

Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation.

Ellis LB, Wackett LP.

Microb Inform Exp. 2012 Jan 4;2(1):1. doi: 10.1186/2042-5783-2-1.

15.

The zinc-ribbon domain of Helicobacter pylori HP0958: requirement for RpoN accumulation and possible roles of homologs in other bacteria.

Pereira LE, Tsang J, Mrázek J, Hoover TR.

Microb Inform Exp. 2011 Aug 23;1(8):1-10. doi: 10.1186/2042-5783-1-8.

16.

Quantifying the effect of environment stability on the transcription factor repertoire of marine microbes.

Kostadinov I, Kottmann R, Ramette A, Waldmann J, Buttigieg PL, Glöckner FO.

Microb Inform Exp. 2011 Sep 7;1(1):9. doi: 10.1186/2042-5783-1-9.

17.
18.

Large-scale experimental studies show unexpected amino acid effects on protein expression and solubility in vivo in E. coli.

Price WN 2nd, Handelman SK, Everett JK, Tong SN, Bracic A, Luff JD, Naumov V, Acton T, Manor P, Xiao R, Rost B, Montelione GT, Hunt JF.

Microb Inform Exp. 2011 Jun 27;1(1):6. doi: 10.1186/2042-5783-1-6.

19.

The importance of metagenomic surveys to microbial ecology: or why Darwin would have been a metagenomic scientist.

Gilbert JA, O'Dor R, King N, Vogel TM.

Microb Inform Exp. 2011 Jun 14;1(1):5. doi: 10.1186/2042-5783-1-5.

20.

Predicted Relative Metabolomic Turnover (PRMT): determining metabolic turnover from a coastal marine metagenomic dataset.

Larsen PE, Collart FR, Field D, Meyer F, Keegan KP, Henry CS, McGrath J, Quinn J, Gilbert JA.

Microb Inform Exp. 2011 Jun 14;1(1):4. doi: 10.1186/2042-5783-1-4.

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