Haystack

Haystack is a web-based software tool designed to visualize, parse, filter, and extract significant features from liquid chromatography coupled to mass spectrometry (LCMS) datasets rapidly and efficiently. The tool offers users a range of data visualization options and supports non-biased differential profiling studies through a unique and flexible binning function that provides an alternative to conventional peak deconvolution analysis methods. The core function of Haystack is a flexible binning procedure that converts the mass dimension of the chromatogram into a set of interval variables that can uniquely identify a sample. The validity of this approach is demonstrated by comparison of a dataset from plants grown at two light conditions with manual and automated peak detection methods. Haystack successfully predicted class assignment based on principal component analysis (PCA) and cluster analysis, and identified discriminatory features based on analysis of extracted ion chromatograms (EICs) of significant bins.

Topic

Epigenetics;Transcription factors and regulatory sites;Genomics;Sequence sites, features and motifs

Detail

  • Operation: Transcriptional regulatory element prediction;cis-regulatory element prediction

  • Software interface: Command-line user interface

  • Language: Shell;Python

  • License: GNU Affero General Public License version 3

  • Cost: Free

  • Version name: 0.5.5

  • Credit: The Arkansas INBRE program, the National Institutes of Health (NIH) National Institute of General Medical Sciences (NIGMS), the Arkansas Center for Plant Powered Production, supported by grant funding from the NSF EPSCoR Arkansas Asset Initiative, and NSF Award.

  • Input: -

  • Output: -

  • Contact: lpinello@mgh.harvard.edu;gcyuan@jimmy.harvard.edu

  • Collection: -

  • Maturity: -

Publications

Download and documentation


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