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http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 12,2025. Multimodal dataset for emotion analysis using EEG, Physiological and Video Signals of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal, valence, like/dislike, dominance and familiarity. For 22 of the 32 participants, frontal face video was also recorded. A novel method for stimuli selection was used, utilizing retrieval by affective tags from the last.fm website, video highlight detection and an online assessment tool. The dataset is made publicly available and other researchers are encouraged to use it for testing their own affective state estimation methods.
Proper citation: DEAPdataset (RRID:SCR_001586) Copy
http://www.broad.mit.edu/mpr/lung
Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.
Proper citation: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) Copy
The Electrophysiology Analysis Toolkit (Elephant) is a Python library that provides a modular framework for the analysis of experimental and simulated neuronal activity data, such as spike trains, local field potentials, and intracellular data. Elephant builds on the Neo data model to facilitate usability, to enable interoperability, and to support data from dozens of file formats and network simulation tools. Its analysis functions are continuously validated against reference implementations and reports in the literature. Visualizations of analysis results are made available via the Viziphant companion library. Elephant aims to act as a platform for sharing analysis methods across the field.
Proper citation: Elephant (RRID:SCR_003833) Copy
http://www.qub.ac.uk/schools/BioimagingCoreTechnologyUnit/NIVTA/
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. A pan European network for virtual tissue archiving aimed at supporting clinical trials, biomarker research, tissue microarray analysis and virtual slide based education. NIVTA has state-of-the-art digital scanning systems including an Aperio CS system, Aperio OS system (one of only two currently available in Europe) and a Hamamatsu system with fluorescent scanning capability.
Proper citation: Northern Ireland Virtual Tissue Archive (RRID:SCR_004452) Copy
http://discovery.hsci.harvard.edu/
An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket.
Proper citation: Stem Cell Discovery Engine (RRID:SCR_004453) Copy
A web server dedicated to the reconstruction of phylogenetic trees, reticulation networks and to the inference of horizontal gene transfer (HGT) events.
Proper citation: Tree and reticulogram REConstruction (RRID:SCR_004497) Copy
https://www.fieldtriptoolbox.org
Software toolbox for analysis of MEG, EEG, and other electrophysiological data. Used by experimental neuroscientists.
Proper citation: FieldTrip (RRID:SCR_004849) Copy
Software package to detect and quantify local splicing variations (LSV) from RNA-Seq data. Used to automatically detect and downweight outliers in RNA-Seq datasets with replicates for differential splicing (SD) analysis.
Proper citation: MAJIQ (RRID:SCR_016706) Copy
https://github.com/fyz11/MOSES
Computational Python library for the motion analysis of biological single-cell and collective motion for high content screens. Framework to quantify and discover cellular motion phenotypes.
Proper citation: Motion Sensing Superpixels (MOSES) (RRID:SCR_016839) Copy
Web application for integrated analysis and interactive visualization of RNA interference (RNAi) screening data.
Proper citation: CARD (RRID:SCR_016602) Copy
https://github.com/xia-lab/MetaboAnalystR
Software R package for comprehensive analysis of metabolomics data. Contains the R functions and libraries underlying MetaboAnalyst web server, including functions for metabolomic data analysis, visualization, and functional interpretation.
Proper citation: MetaboAnalystR (RRID:SCR_016723) Copy
Software package for image acquisition, analysis, display, and archiving. Used to quantify the autoradiography data from Cyclone apparatus from Perkin Elmer.
Proper citation: OptiQuant Software (RRID:SCR_016769) Copy
Web platform for bio image analysis. Used to share knowledge between the different communities, to help biologists to find any tool or workflow available for a particular image analysis problem and to find the adequate image processing wording, to help software and algorithm developers to find missing tools (or components), and to help bioimage analyst to identify and edit workflows.
Proper citation: BISE (RRID:SCR_016774) Copy
Software tools for compound-centric data mining and navigation. Used to identify compounds in overlapping and co-eluting peaks with feature extraction and correlation algorithms for chromatographic separation. Used for separating true signals from noise.
Proper citation: Agilent MassHunter WorkStation - Qualitative Analysis for GC/MS (RRID:SCR_016657) Copy
https://visrsoftware.github.io/
Software as an R-based visual framework for analysis of sequencing datasets. Provides a framework for integrative and interactive analyses.
Proper citation: VisR (RRID:SCR_016658) Copy
https://software.broadinstitute.org/gatk/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18th,2023. Software package for genome analysis. Used for analysis of next generation genomic data in cancer.
Proper citation: IndelGenotyper (RRID:SCR_016663) Copy
https://www.mbfbioscience.com/neurolucida360
Software for automatic neuron 3D reconstruction and analysis. Used by neuroscientists to reconstruct intricate neuronal structures that range in scale from complex, multicellular networks of neurons to sub-cellular dendritic spines and putative synapses.
Proper citation: Neurolucida 360 (RRID:SCR_016788) Copy
Software packages for quantitative cell analysis. Used in image cytometry, quantitative cell analysis or automated cell analysis in biological research and drug discovery.
Proper citation: HCS Studio Cell Analysis software (RRID:SCR_016787) Copy
https://bitbucket.org/biobakery/biobakery/wiki/Home
Analysis environment and collection of individual software tools to process raw shotgun metagenome or metatranscriptome sequencing data for quantitative microbial community profiling. Used for a metaomics data analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: biobakery (RRID:SCR_016596) Copy
https://software.broadinstitute.org/software/discovar/blog/
Software tool for variant calling with reference and de novo assembly of genomes. The heart of DISCOVAR is a de novo genome assembler which can generate de novo assemblies for both large and small genomes.
Proper citation: Discovar assembler (RRID:SCR_016755) Copy
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