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https://github.com/mikessh/migec

Software package for analysis of immune repertoire sequencing data. Used for recovery of T Cell Receptor ( TCR ) data from bulk population data.Used for high-throughput sequencing data analysis. Allows for error correction while preserving the natural diversity of complex immune repertoires.

Proper citation: migec (RRID:SCR_016337) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=clustree

Software package which allows to produce clustering trees and visualize clusterings at different resolutions. Used in the analysis of large data sets to group together samples with similar properties.

Proper citation: clustree (RRID:SCR_016293) Copy   

•   Source: SciCrunch Registry

http://www.flir.jp/instruments/display/?id=54865

Software application for thermography for FLIR Systems. It has a basic thermal image analysis function including color palette and image adjustment function. Used to analyse the thermographic measurement data.

Proper citation: FLIR tools (RRID:SCR_016330) Copy   

•   Source: SciCrunch Registry

https://hub.docker.com/r/biodepot/star-for-criu/

Software as an Hot Start software container for STAR alignment using CRIU (Checkpoint Restore in Userspace) tool to freeze the running container. Can be deployed to align RNA sequencing data. Used in the processing of biomedical big data for better reproducibility and reliability.

Proper citation: star-for-criu (RRID:SCR_016294) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/mica/

Software toolbox based on FSL command line tools that performs masked independent component analysis and related analyses in an integrated way within a spatially restricted subregion of the brain. Used for investigating functional connectivity in functional magnetic resonance imaging data in the field of neuroimaging.

Proper citation: masked ICA (mICA) Toolbox (RRID:SCR_016349) Copy   

•   Source: SciCrunch Registry

https://www.lungmap.net/

Portal for lung histochemistry data. For structural and molecular data regarding normal perinatal and postnatal lung development in the mouse and human. For public sharing of data sets, establishing a repository of young human lung tissues obtained through organ donor organizations, and developing a comprehensive lung ontology .Contains lung images and transcriptomic, proteomic, and lipidomic human and mouse data and provides scientific information to stimulate interest in research careers. Used to serve as a research resource and public education tool.

Proper citation: LungMap (RRID:SCR_016347) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/knime4bio/

A set of custom nodes for the KNIME (The Konstanz Information Miner) graphical workbench, for analysing next-generation sequencing (NGS) data without the requirement of programming skills.

Proper citation: Knime4Bio (RRID:SCR_005376) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://genome.ucsc.edu/

Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data.

Proper citation: UCSC Genome Browser (RRID:SCR_005780) Copy   

•   Source: SciCrunch Registry

http://mialab.mrn.org/index.html

MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.

Proper citation: MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) Copy   

•   Source: SciCrunch Registry

https://proteomecommons.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication.

Proper citation: Proteome Commons (RRID:SCR_006234) Copy   

•   Source: SciCrunch Registry

http://dash.harvard.edu/

Harvard University''s central service for sharing and preserving work. In addition to the scholarly journal articles targeted by Harvard''s several open access resolutions, DASH maybe used to self-archive manuscripts and materials. DASH supports a variety of file formats, and users are encouraged to deposit related materials with manuscripts (including data, images, audio and video files, etc.) When users deposit their work in DASH, it becomes visible to colleagues around the world by virtue of metadata harvesting, Google Scholar, and other indexing services. Higher visibility leads to higher rates of citation and impact. When users post early versions of their work, before publication, they establish intellectual priority sooner. Users act in their own best interests by taking part in the University''s mission to share and preserve the knowledge produced there. Because Harvard now has a prior, non-exclusive license to faculty journal articles in schools with open access policies, those faculty members are required to act accordingly when publishing journal articles, either by attaching an addendum to their publication agreement or obtaining a waiver. They then must deposit the publication in DASH.

Proper citation: Digital Access to Scholarship at Harvard (RRID:SCR_004122) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/

Community portal for researchers and content management system for data and databases. Intended to provide common source of data to research community and data about Research Resource Identifiers (RRIDs), which can be used in scientific publications. Central service where RRIDs can be searched and created. Designed to help communities of researchers create their own portals to provide access to resources, databases and tools of relevance to their research areas. Adds value to existing scientific resources by increasing their discoverability, accessibility, visibility, utility and interoperability, regardless of their current design or capabilities and without need for extensive redesign of their components or information models. Resources can be searched and discovered at multiple levels of integration, from superficial discovery based on limited description of resource at SciCrunch Registry, to deep content query at SciCrunch Data Federation.

Proper citation: SciCrunch (RRID:SCR_003115) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/gap/

GAP is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, classic twin models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates.

Proper citation: Genetic Analysis Package (RRID:SCR_003006) Copy   

•   Source: SciCrunch Registry

http://developingmouse.brain-map.org/

Map of gene expression in developing mouse brain revealing gene expression patterns from embryonic through postnatal stages. Provides information about spatial and temporal regulation of gene expression with database. Feature include seven sagittal reference atlases created with a developmental ontology. These anatomic atlases may be viewed alongside in situ hybridization (ISH) data as well as by itself.

Proper citation: Allen Developing Mouse Brain Atlas (RRID:SCR_002990) Copy   

•   Source: SciCrunch Registry

http://childes.talkbank.org/

Child language component of TalkBank system. TalkBank is system for sharing and studying conversational interactions. Includes software developed for speech recognition and analysis as well as behavior recognition. Database contains transcript and media data collected from conversations between young children and their playmates and caretakers. Conversations with older children and adults are available from TalkBank. All of data is transcribed in CHAT and CA/CHAT formats.

Proper citation: Child Language Data Exchange System (CHILDES) (RRID:SCR_003241) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nitrc_es/

Support and community integration for the enhanced NITRC services of the Image Repository (IR) and the Computational Environment (CE). The NITRC Computational Environment, an on-demand, cloud based computational virtual machine pre-installed with popular NITRC neuroimaging tools built using NeuroDebian. NITRC Image Repository is built upon XNAT and supports both NIfTI and DICOM images. The NITRC-IR offers 3,733 Subjects, and 3,743 Imaging Sessions searchable across seven projects to promote re-use and integration of valuable NIH-funded data.

Proper citation: NITRC Enhanced Services (RRID:SCR_002494) Copy   

•   Source: SciCrunch Registry

http://www.fmrib.ox.ac.uk/fsl/

Software library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. Include registration, atlases, diffusion MRI tools for parameter reconstruction and probabilistic taractography, and viewer. Several brain atlases, integrated into FSLView and Featquery, allow viewing of structural and cytoarchitectonic standard space labels and probability maps for cortical and subcortical structures and white matter tracts. Includes Harvard-Oxford cortical and subcortical structural atlases, Julich histological atlas, JHU DTI-based white-matter atlases, Oxford thalamic connectivity atlas, Talairach atlas, MNI structural atlas, and Cerebellum atlas.

Proper citation: FSL (RRID:SCR_002823) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/arrayexpress/

International functional genomics data collection generated from microarray or next-generation sequencing (NGS) platforms. Repository of functional genomics data supporting publications. Provides genes expression data for reuse to the research community where they can be queried and downloaded. Integrated with the Gene Expression Atlas and the sequence databases at the European Bioinformatics Institute. Contains a subset of curated and re-annotated Archive data which can be queried for individual gene expression under different biological conditions across experiments. Data collected to MIAME and MINSEQE standards. Data are submitted by users or are imported directly from the NCBI Gene Expression Omnibus.

Proper citation: ArrayExpress (RRID:SCR_002964) Copy   

•   Source: SciCrunch Registry

http://berkeleybop.org/pkb/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This interface is for exploring data collected as part of the NIF Neurodegenerative Disease Ontology project. Not generally intended for public consumption yet, but people are welcome to look - large caveat emptor applies. Sponsors: This resource is part of the NIF project.

Proper citation: OBD-PKB Interface (RRID:SCR_002882) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/

Non-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.

Proper citation: European Bioinformatics Institute (RRID:SCR_004727) Copy   

•   Source: SciCrunch Registry