eLSA 1.0.2 – Finding Time-Dependent Associations in Time Series Datasets

eLSA 1.0.2

:: DESCRIPTION

eLSA (Extended local similarity analysis) is a software of Finding Time-Dependent Associations in Time Series Datasets.

::DEVELOPER

Ji Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX
  • Python

:: DOWNLOAD

 eLSA

:: MORE INFORMATION

Citation

Li C Xia, Joshua A Steele, Jacob A Cram, Zoe G Cardon, Sheri L Simmons, Joseph J Vallino, Jed A Fuhrman and Fengzhu Sun
Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates
BMC Systems Biology 2011, 5(Suppl 2):S15

Quansong Ruan, Debojyoti Dutta, Michael S. Schwalbach, Joshua A. Steele, Jed A. Fuhrman, Fengzhu Sun (2006),
Local Similarity Analysis Reveals Unique Associations Among Marine Bacterioplankton Species and Environmental Factors.
Bioinformatics (2006) 22 (20): 2532-2538.

fastLSA 1.0 – Implementation of the Local Similarity Analysis

fastLSA 1.0

:: DESCRIPTION

fastLSA is a new implementation of the Local Similarity Analysis (LSA) algorithm that approximates the detection of significant LSA results using an asymptotic upper bound. Making only the very standard assumptions (independent and identically distributed data, finite variance, asymptotic data size) fastLSA expands some of the boundaries imposed by previous implementations. Written in optimized C, and utilizing POSIX threads, fastLSA is a software package can calculate pairwise LSA statistics and p-value bounds for ten thousand time series with time-steps measuring in the thousands.

::DEVELOPER

Hallam Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / WIndows /MacOsX
  • G++

:: DOWNLOAD

 fastLSA

:: MORE INFORMATION

Citation

BMC Genomics. 2013;14 Suppl 1:S3. doi: 10.1186/1471-2164-14-S1-S3. Epub 2013 Jan 21.
Expanding the boundaries of local similarity analysis.
Durno WE, Hanson NW, Konwar KM, Hallam SJ.