BMC Genomics

official impact factor 4.21

Open Access Highly Access

Towards the identification of essential genes using targeted genome sequencing and comparative analysis

Adam M Gustafson*, Evan S Snitkin*, Stephen CJ Parker, Charles DeLisi and Simon Kasif

BMC Genomics 2006, 7:265 doi:10.1186/1471-2164-7-265

Accesses  

  • Last 30 days: 63 accesses
  • Last 365 days: 759 accesses
  • All time: 5035 accesses

Cited by

BioMed Central: 7 citations

Methodology article   Open Access Highly Accessed

Identifying essential genes in bacterial metabolic networks with machine learning methods

Kitiporn Plaimas, Roland Eils, Rainer König BMC Systems Biology 2010, 4:56 (3 May 2010)

Research article   Open Access Highly Accessed

Evolutionary conservation of essential and highly expressed genes in Pseudomonas aeruginosa

Andreas Dötsch, Frank Klawonn, Michael Jarek, Maren Scharfe, Helmut Blöcker, Susanne Häussler BMC Genomics 2010, 11:234 (9 April 2010)

Research article   Open Access

Relationship between operon preference and functional properties of persistent genes in bacterial genomes

Marit S Bratlie, Jostein Johansen, Finn Drabløs BMC Genomics 2010, 11:71 (28 January 2010)

Research article   Open Access Highly Accessed

Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi

Alexander G Holman, Paul J Davis, Jeremy M Foster, Clotilde KS Carlow, Sanjay Kumar BMC Microbiology 2009, 9:243 (28 November 2009)

Essential genes of the bacterium Wolbachia have been predicted using computational methods, identifying potential new targets for drugs to treat lymphatic filiariasis caused by the Wolbachia-harboring nematode Brugia malayi.

Methodology article   Open Access Highly Accessed

Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information

Marcio L Acencio, Ney Lemke BMC Bioinformatics 2009, 10:290 (16 September 2009)

Research   Open Access

Identification of protein functions using a machine-learning approach based on sequence-derived properties

Bum Lee, Moon Shin, Young Oh, Hae Oh, Keun Ryu Proteome Science 2009, 7:27 (9 August 2009)

Short Report   Open Access

The constancy of gene conservation across divergent bacterial orders

Olin K Silander, Martin Ackermann BMC Research Notes 2009, 2:2 (7 January 2009)