Encyclopedia of Metagenomics

2015 Edition
| Editors: Karen E. Nelson

Extended Local Similarity Analysis (eLSA) of Biological Data

  • Fengzhu Sun
  • Li Charlie Xia
Reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7478-5_722


Local association analysis; Local similarity analysis


The advances in high-throughput low-cost experimental technologies have made possible time series studies of hundreds or thousands biological factors simultaneously. The availability of such datasets leads to an increased interest in profile similarity analysis techniques that can identify significant association patterns possibly embracing biological insights. In the context of metagenomics, factors of particular interest are operational taxonomic units (OTUs), microbial genomes, and environmental genes. Their association patterns may suggest microbe-environment, symbiotic relationships, and other types of interactions.

Many computational or statistical approaches exist to study the profile similarity at global scale, such as Pearson’s correlation coefficients (PCC), Spearman’s correlation coefficients (SCC), principal component analysis (PCA), multidimensional scaling (MDS), discriminant function analysis...

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Molecular and Computational Biology Program, Department of Biological SciencesUniversity of Southern California, Dana and David Dornsife College of Letters, Arts and SciencesLos AngelesUSA