Biology Reference
In-Depth Information
Lee, I., Date, S., Adai, A., and Marcotte, E. (2004a). A probabilistic functional network of
yeast genes.
Science
306, 1555-1558.
Lee, Y., Lin, Y., and Wahba, G. (2004b). Multicategory support vector machines.
J. Am. Stat.
Assoc.
99, 67-81.
Lemos, L. N., Fulthorpe, R. R., Triplett, E.W., andRoesch, L. F.W. (2011). Rethinkingmicrobial
diversity analysis in the high throughput sequencing era.
J. Microbiol. Methods
86, 42-51.
Letovsky, S. (2003). Predicting protein function from protein/protein interaction data: a prob-
abilistic approach.
Bioinformatics
19, 197i-204i.
Leyfer, D. (2005). Genome-wide decoding of hierarchical modular structure of transcriptional
regulation by cis-element and expression clustering.
Bioinformatics
21, ii197-ii203.
Lintott, C. J., Schawinski, K., Slosar, A., Land, K., Bamford, S., Thomas, D., Raddick, M. J.,
Nichol, R. C., Szalay, A., Andreescu, D., Murray, P., and Van Den Berg, J. (2008). Galaxy
Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky
Survey.
MNRAS
389, 1179-1189.
Lu, Z. (2011). PubMed and beyond: a survey of web tools for searching biomedical literature.
J. Biol. Databases Curat.
2011, baq036.
Luciano, J. S. and Stevens, R. D. (2007). e-Science and biological pathway semantics.
BMC
Bioinformatics
8, S3.
Lukashin, A. V. and Borodovsky, M. (1998). GeneMark.hmm: new solutions for gene finding.
Nucleic Acids Res.
26, 1107-1115.
Lyautey, E., Lapen, D. R., Wilkes, G., McCleary, K., Pagotto, F., Tyler, K., Hartmann, A.,
Piveteau, P., Rieu, A., Robertson, W. J., Medeiros, D. T., Edge, T. A., Gannon, V., and
Topp, E. (2007). Distribution and characteristics of
Listeria monocytogenes
isolates from
surface waters of the South Nation River watershed, Ontario, Canada.
Appl. Environ.
Microbiol.
73, 5401-5410.
Lyautey, E., Lu, Z., Lapen, D. R., Wilkes, G., Scott, A., Berkers, T., Edge, T. A., and Topp, E.
(2010). Distribution and diversity of
Escherichia coli
populations in the South Nation
River drainage basin, Eastern Ontario, Canada.
Appl. Environ. Microbiol.
76, 1486-1496.
Maheshri, N. and O'Shea, E. K. (2007). Living with noisy genes: how cells function reliably
with inherent variability in gene expression.
Annu. Rev. Biophys. Biomol. Struct.
36,
413-434.
Maleki-Dizaji, S., Rolfe, M., Fisher, P., and Holcombe, M. (2009). A systematic approach to
understanding bacterial responses to oxygen using Taverna and Webservices. In:
C. T. Lim& J. C. H. Goh (Eds.),
13th International Conference on Biomedical Engineering
,
Berlin Heidelberg: Springer.
Malios, R. R., Ojcius, D. M., and Ardell, D. H. (2009). An iterative strategy combining
biophysical criteria and duration hidden Markov models for structural predictions of
Chlamydia trachomatis
s
66 promoters.
BMC Bioinformatics
10, 271.
Manning, C. D. and Schutze, H. S. (1999).
Foundations of Statistical Natural Language
Processing.
Cambridge, MA: MIT press.
Mazurie, A., Bottani, S., and Vergassola, M. (2005). An evolutionary and functional assess-
ment of regulatory network motifs.
Genome Biol.
6, R35.
Mcadams, H. and Arkin, A. P. (1997). Stochastic mechanisms in gene expression.
Proc. Natl.
Acad. Sci.
94, 814-819.
McCulloch, W. and Pitts, W. (1943). A logical calculus of the ideas immanent in nervous
activity.
Bull. Math. Biol.
5, 115-133.
Microbiology by numbers [Editorial], (2011).
Nat. Rev. Microbiol.
9, 628.