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MLEE specifications

Information


Unique identifier OMICS_26294
Name MLEE
Alternative name Multi-Level Event Extraction
Restrictions to use None
Community driven No
Data access File download, Browse
User data submission Not allowed
Content license CC Attribution-NonCommercial-ShareAlike
Maintained Yes

Maintainer


  • person_outline Sampo Pyysalo

Publication for Multi-Level Event Extraction

MLEE citations

 (18)
library_books

Leishmania naiffi and Leishmania guyanensis reference genomes highlight genome structure and gene evolution in the Viannia subgenus

2018
R Soc Open Sci
PMCID: 5936940
PMID: 29765675
DOI: 10.1098/rsos.172212

[…] -1, and seven differences versus L. shawi M8408 across the 2902 sites aligned (). Leishmania guyanensis LgCL085 grouped with isolates classified as zymodeme Z26 by multi-locus enzyme electrophoresis (MLEE) associated with L. shawi []. This was supported by the number and the alleles of genome-wide single-nucleotide polymorphisms (SNPs) called using reads mapped to the L. braziliensis M2904 referen […]

library_books

A new look at the drug resistance investigation of uropathogenic E. coli strains

2017
PMCID: 5310551
PMID: 28091786
DOI: 10.1007/s11033-017-4099-y

[…] GE), restriction fragment length polymorphism (RFLP) studies [–]. An old method of differentiation concerns phenotyping as enzyme profiles of bacterial strains [–]. Multilocus enzyme electrophoresis (MLEE) could be compared to the analysis of antibiotic zones of inhibition. Resistance to beta-lactams is mainly due to the production of enzymes—betalactamases, which might reveal some correlations be […]

library_books

Population and Functional Genomics of Neisseria Revealed with Gene by Gene Approaches

2016
J Clin Microbiol
PMCID: 4963508
PMID: 27098959
DOI: 10.1128/JCM.00301-16

[…] Despite extensive HGT, a readily discernible structure exists in meningococcal populations, first identified by multilocus enzyme electrophoresis (MLEE) and later with MLST () and rMLST (). Conventional MLST schemes index variation in seven “MLST loci,” with each unique sequence for each locus generating an allelic profile or a sequence type (ST […]

library_books

Adaptable, high recall, event extraction system with minimal configuration

2015
BMC Bioinformatics
PMCID: 4511382
PMID: 26201408
DOI: 10.1186/1471-2105-16-S10-S7

[…] es of events involved in the task. The performance range of EventMine in recognising the various event types covered by the CG task is similar to the scores achieved by the system when applied to the MLEE corpus (52.34-53.43% F-Score []) although we cannot directly compare the results since the corpora are not completely same and the test sets are different. The ranges of the scores are around 60% […]

library_books

KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences

2015
BMC Bioinformatics
PMCID: 4448285
PMID: 25971816
DOI: 10.1186/s12859-015-0549-5

[…] ts have been driven by competitions such as BioNLP Shared Task (BioNLP-ST) [] and BioCreative []. These shared tasks come with pre-annotated corpora as gold standard, such as the GENIA corpus [], the multi-level event extraction (MLEE) corpus [], and various BioCreative corpora. Efforts such as the Pharmacogenetics Research Network and Knowledge Base (PharmGKB) [], which curates and disseminates k […]

library_books

Genomic Analysis of the Evolution and Global Spread of Hyper invasive Meningococcal Lineage 5

2015
PMCID: 4430826
PMID: 25984558
DOI: 10.1016/j.ebiom.2015.01.004

[…] vaccine targeting this serogroup is available.The genetic diversity and population structure of the species have been elucidated by the use of two related methods, multilocus enzyme electrophoresis (MLEE) starting in the early 1980s and multilocus sequencing typing (MLST) at the end of the 1990s (, ). Both methods assess genetic variation among isolates by indexing their whole genome through a sm […]

Citations

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MLEE institution(s)
National Centre for Text Mining and School of Computer Science, University of Manchester, Manchester, UK; Department of Computer Science, University of Tokyo, Tokyo, Japan; Microsoft Research Asia, Beijing, China
MLEE funding source(s)
Supported by UK Biotechnology and Biological Sciences Research Council (BBSRC BB/G013160/1).

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