Software

As part of our work aimed at identifying signatures of perturbagen response, the HMS LINCS Center has developed a number of new methodologies for data collection and visualization and for multidimensional data analysis. Below is a summary table listing all publicly available tools, followed by detailed descriptions of key ongoing projects. The majority of these tools were developed by members of the Sorger Lab and the Laboratory of Systems Pharmacology (LSP) at HMS. Additional contributors and collaborators are listed in the individual descriptions of the tools.
 

Released Software

Data Annotation and Storage

HMS LINCS DatabaseHMS LINCS Database: Online database for HMS LINCS datasets and related experimental and reagent metadata. Developed by the ICCB-Longwood Screening Facility, the Sorger Lab, and the LSP at HMS. hmslincs at GitHub
ImageRailImageRail: Desktop software for image analysis of high-throughput microscopy imagery. Developed by the Sorger Lab and the LSP at HMS. imagerail at GitHub
OMEROOMERO: Client-server software for visualization, management, and analysis of image data. OMERO is under continuous development by the OME Consortium. The Sorger Lab and the LSP at HMS regularly contribute to the development of custom tools for high-throughput data annotation and presentation. openmicroscopy at GitHub

Data Visualization and Analysis

Breast Cancer BrowserBreast Cancer Browser: Online portal with custom, interactive visualizations of datasets of significant interest to researchers studying breast cancer biology, drug response, and drug polypharmacology. Developed by the Sorger Lab at HMS. cancerbrowser at GitHub
GR CalculatorGR Browser: Online tool for calculating growth rate inhibition metrics and browsing LINCS dose-response datasets. Developed by the Sorger Lab at HMS and the LINCS DCIC group at University of Cincinnati led by Mario Medvedovic. grcalculator at GitHub
Drug Response Browser 1Drug Response Browser 1: Interactive browser tool for exploring the responses of 53 cell lines to 62 anti-cancer drugs. Developed by the Sorger Lab at HMS. hmslincs at GitHub
Drug Response Browser 2Drug Response Browser 2: Interactive browser tool for exploring the responses of 6 breast cancer cell lines to 107 anti-cancer drugs. Developed by the Sorger Lab at HMS. cancerbrowser at GitHub
RTK Profile Browser 1RTK Profile Browser 1: Interactive browser tool for exploring the basal levels and activity of key receptor tyrosine kinases (RTKs) across a panel of 39 breast cancer cell lines. Developed by the Sorger Lab at HMS. hmslincs at GitHub
RTK Profile Browser 2RTK Profile Browser 2: Interactive browser tool for exploring the basal levels and activity of key receptor tyrosine kinases (RTKs) across a panel of 39 breast cancer cell lines. Developed by the Sorger Lab at HMS. cancerbrowser at GitHub
GF Response Browser 1GF Response Browser 1: Comprehensive analysis matrix showing ERK and Akt responses to growth factor stimulation. Developed by the Sorger Lab and the LSP at HMS. hmslincs at GitHub
GF Response Browser 2GF Response Browser 2: Interactive browser tool for exploring ERK and Akt responses to growth factor stimulation in breast cancer cells. Developed by the Sorger Lab and the LSP at HMS. cancerbrowser at GitHub
Adaption Browser 1Adaption Browser 1: Interactive browser tool to interrogate the molecular pathways impinging upon drug-induced adaptive responses in BRAF(V600E) melanoma cell lines. Developed by the Sorger Lab and the LSP at HMS. hmslincs at GitHub
Adaption Browser 2Adaption Browser 2: Interactive browser tool to interrogate the molecular pathways impinging upon drug-induced adaptive responses in BRAF(V600E) melanoma cell lines. Developed by the Sorger Lab and the LSP at HMS. hmslincs at GitHub
Drug-Pathway Browser: Interactive map of key signal transduction pathways and relevant drug-target data. Developed by the Sorger Lab at HMS. hmslincs at GitHub
Live-cell Dynamics BrowserLive-cell Dynamics Browser: Online live-cell data visualization showing the responses of single cells to treatment with 3 EGFR/Her2 inhibitors. Developed by the Sorger Lab and the LSP at HMS. hmslincs at GitHub
TieDIETieDIE: Computational tool connecting genomic perturbations to gene expression changes characteristic of cancer subtypes. Developed by the Stuart lab at UCSC in collaboration with the Sorger Lab at HMS. tiedie at GitHub
LINCS Canvas BrowserLINCS Canvas Browser: Interactive web app to query, browse, and interrogate LINCS L1000 gene expression signatures. Developed by the Ma’ayan lab in collaboration with the Sorger Lab at HMS. online app

 

Ongoing Software Development Projects

 

HMS LINCS Database

The HMS LINCS Database is under continuous development by the software development teams in the ICCB-Longwood Screening Facility, the Sorger Lab, and the LSP at HMS. The Database is a public resource for browsing, searching, and downloading HMS LINCS data. The web standards-based API (application programming interface) can be used to query and access each of the data types managed by the database, including compound information, library descriptions, and datasets. Please refer to the HMS LINCS Database URL scheme and programmatic access guide for more information.

For small molecule compounds stored in the HMS LINCS Database, the system stores common names, chemical structure and properties, relevant publications, and links to other public resources, such as PubChem and ChEMBL, which contain additional information about each compound. As batches of compounds are received for screening at HMS, information about each batch is recorded, such as vendor/source information and quality control documents.

For experiments performed at HMS, the Database stores the layout and concentrations of compounds and other reagents across the wells of assay microplates, as well as information about experimental protocols, controls, and data analysis methods. Raw experimental data and analyzed results are all stored in the system and may be browsed or downloaded for further review and analysis. HMS LINCS experimental datasets are often multi-dimensional, resulting from several different assays run in parallel that monitor the effects of different compounds tested at multiple concentrations on different cell lines and read out at multiple time points.

Compound profiling data provided by third parties, such as KINOMEscan (DiscoveRx) and KiNativ data, are imported and associated with the relevant compounds described in the Database. This allows profiling data to be viewed alongside detailed reagent information for each screened compound and also downloaded by Database users.

 

ImageRail

ImageRail is desktop software developed by the Sorger Lab and the LSP at HMS that performs image analysis on high-throughput microscopy image data. It stores single-cell data using SDCubes (see below) and offers an adaptive experimental designer. ImageRail is written in Java and is thus cross-platform, and native application installers are provided for Windows and Mac OS X. ImageRail is described in detail in Millard et al. (2011) (see below). ImageRail is used to collect and analyze data from many of the HMS LINCS fixed-cell microscopy assays.

 

Semantically Typed Data Cubes

Semantically Typed Data Cube (SDCube) is a data model, software library, and file format on top of HDF5 and XML for storing structured numerical data produced by multi-factorial biology experiments. An SDCube consists of an HDF5 file with groups and datasets created according to the modular, hierarchical SDCube data model, as well as an accompanying XML file containing metadata such as Minimum Information annotations and a description of the experimental factors. The SDCube model is under continuous development by the Sorger Lab and the LSP at HMS. A long-term goal of our HMS LINCS project is to store most of our assay data in SDCube format.

 

OMERO

Because live- and fixed-cell imaging constitute important types of data for HMS LINCS, we have deployed the OMERO server software from the Open Microscopy Environment project to manage these data. OMERO is under continuous development by the OME Consortium, and the Sorger Lab and the LSP at HMS regularly contribute to the design and development of custom tools for high-throughput data annotation and presentation.

OMERO provides web-based viewing and downloads in a variety of formats including OME-TIFF as well as a programmatic interface (API) for integration with other systems such as the HMS LINCS Database. For example, see HMS Dataset 20003 (Tang Mitosis/Apoptosis) in the HMS LINCS Database, which integrates OMERO images (see the “Image” column) with the numerical assay results.