Tools   Select Another Resource Report Type

https://github.com/sarastokes/AOData

Software tool as framework for adaptive optics data analysis. Object oriented framework for organizing data, metadata and code related to adaptive optics experiment.

Proper citation: AOData (RRID:SCR_022767) Copy   

•   Source: SciCrunch Registry

https://commons.cri.uchicago.edu/pcdc/

PCDC brings together clinical, genomic, and imaging data from institutions around the world to transform pediatric cancer research and outcomes. Headquartered at University of Chicago, PCDC works with international leaders in pediatric cancers and National Cancer Institute to develop and apply uniform data standards that facilitate collection, combination, and analysis of data from many different sources. PCDC Consortium developes common core data dictionary and common governance structure spanning pediatric cancers neuroblastoma, soft tissue sarcoma, acute myeloid leukemia, acute lymphoblastic leukemia, germ cell tumors, bone tumors, and Hodgkin lymphoma to enable innovative cross disease research as well as set standard for future cancer data commons endeavors.

Proper citation: Pediatric Cancer Data Commons (RRID:SCR_022369) Copy   

•   Source: SciCrunch Registry

https://napari.org/

Multi dimensional image viewer for Python. Used for browsing, annotating, and analyzing large multi dimensional images. Can be coupled to machine learning and image analysis tools enabling more user friendly automated analysis.

Proper citation: Napari (RRID:SCR_022765) Copy   

•   Source: SciCrunch Registry

https://hugo.health/

Platform for individuals who want to make their own data available for research. Used by people to join network with others who wish to contribute to vital research in partnership with and alongside leading scientists. Personal tool for saving and displaying medical information.

Proper citation: Hugo Data (RRID:SCR_022763) Copy   

•   Source: SciCrunch Registry

https://gtca.github.io/muon/

Software Python framework designed to work with multimodal omics data. Aims to provide convenience and speed to its users enabling standardised analysis while staying flexible and expandable. Muon stands on shoulders of and integrates with annotated data object specification and scanpy library for single cell analysis in Python.

Proper citation: MUON (RRID:SCR_022804) Copy   

•   Source: SciCrunch Registry

https://github.com/ChristopherWilks/megadepth

Software tool for quantifying alignments and coverage for BigWig and BAM/CRAM input files.Quantifies number of RNA-seq reads assigned to gene in BAM file, successor of bamcounts.

Proper citation: Megadepth (RRID:SCR_022779) Copy   

•   Source: SciCrunch Registry

https://pmbb.med.upenn.edu/

BioBank supports researchers by providing centralized access to large number of annotated blood and tissue samples.

Proper citation: University of Pennsylvania Perelman School of Medicine Penn Medicine BioBank Core Facility (RRID:SCR_022415) Copy   

•   Source: SciCrunch Registry

https://github.com/Whitlock-Group/HERBS

Open source, extendable, intuitive and interactive software platform for image visualisation and image registration. Python based GUI for histological E-data registration in brain space.

Proper citation: Histological E data Registration in rodent Brain Spaces (RRID:SCR_022776) Copy   

•   Source: SciCrunch Registry

https://www.antibodysociety.org/the-airr-community/airr-data-commons/

Network of distributed repositories that adhere to standards set out by AIRR Community. This collection contains standards and repositories either created by the AIRR community or approved for use within AIRR community.

Proper citation: AIRR Data Commons (RRID:SCR_022597) Copy   

•   Source: SciCrunch Registry

https://docs.airr-community.org/en/stable/miairr/introduction_miairr.html

Checklist of minimally required information that we recommend journals adopt, and that could form requirements for submission to public data repository. AIRR sequencing studies apply high throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). Standards were developed by AIRR Community Minimal Standards Working Group.

Proper citation: Minimal information about Adaptive Immune Receptor Repertoires (RRID:SCR_022596) Copy   

•   Source: SciCrunch Registry

https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html

AIRR Software Guidelines were created by AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at largest scale possible.Established standards for software tools. Authors whose tools comply with this standard will, subject to ratification from AIRR Software WG, be permitted to advertise their tools as being AIRR compliant. Guidelines include compliance checklist, list of compliant tools, and recommended software evaluation data sets.

Proper citation: Adaptive Immune Receptor Repertoire Software Guidelines (RRID:SCR_022595) Copy   

•   Source: SciCrunch Registry

https://docs.airr-community.org/en/stable/datarep/rearrangements.html

Part of AIRR Data Model, defines annotations needed for rearrangements, which are sequences describing rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in tab delimited file and should be compatible with any TSV reader. Dataset is defined in this context as: TSV file, TSV with companion YAML file containing metadata, or directory containing multiple TSV files and YAML files.

Proper citation: Adaptive Immune Receptor Repertoire Rearrangement Schema (RRID:SCR_022592) Copy   

•   Source: SciCrunch Registry

https://orthovenn2.bioinfotoolkits.net/home

Web server for whole genome comparison and annotation of orthologous clusters across multiple species.Works on any operating system with modern browser and Javascript enabled. Used to identify orthologous gene clusters and supports user define species to upload customized protein sequences. Interactive graphic tool which provides Venn diagram view for comparing multiple species protein sequences.

Proper citation: OrthoVenn2 (RRID:SCR_022504) Copy   

•   Source: SciCrunch Registry

https://github.com/vdemichev/DiaNN

Software tool for processing of data independent acquisition proteomics experiments. Universal automated software suite for DIA proteomics data analysis. Neural networks and interference correction enable deep proteome coverage in high throughput.

Proper citation: DIA-NN (RRID:SCR_022865) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/pavca/

Project related to tracking behavior. Used to identify subgroups of individuals that differentially attribute incentive value to food cue. Includes apparatus for studying Pavlovian conditioned approach behavior. Customized rat PavCA chambers are constructed based on modular devices purchased from Med-Associates. Code used to operate equipment and collect data was written using Med-Associates’ MEDSTATE programming language. This program is then loaded into Med-PC V operating program, also created by Med-Associates.

Proper citation: PavCA project (RRID:SCR_022508) Copy   

•   Source: SciCrunch Registry

http://hollywood.mit.edu/exonscan/

Software framework for modeling sequence motifs based on maximum entropy principle.

Proper citation: ExonScan Web Server (RRID:SCR_022516) Copy   

•   Source: SciCrunch Registry

https://github.com/SGDDNB/ShinyCell

Software R package to create interactive Shiny based web applications to visualise single cell data via visualising cell information and/or gene expression on reduced dimensions e.g. UMAP, visualising coexpression of two genes on reduced dimensions, visualising distribution of continuous cell information e.g. nUMI / module scores using violin plots / box plots, visualising composition of different clusters / groups of cells using proportion plots and visualising expression of multiple genes using bubbleplots / heatmap.Shiny Interactive Web Apps for Single-Cell Data.

Proper citation: ShinyCell (RRID:SCR_022756) Copy   

•   Source: SciCrunch Registry

https://www.thermofisher.com/de/de/home/technical-resources/technical-reference-library/mass-spectrometry-support-center/liquid-chromatography-mass-spectrometry-software-support/freestyle-software-support/freestyle-software-support-getting-started.html

Software to visualize and qualitatively analyze mass spectrometry data. Used to display chromatograms and spectra, detect and integrate chromatographic peaks, search mass spectral libraries, simulate mass spectra, subtract background spectra, apply scan filters, annotate plots with text and graphics, create and save layouts, view the status of various instrument parameters during data acquisition, and create a 2D or 3D representation of an analysis displaying the acquired mass/wavelength scans. Part of liquid chromatography mass spectrometry system.

Proper citation: FreeStyle 1.8 SP1 (RRID:SCR_022877) Copy   

•   Source: SciCrunch Registry

https://github.com/LINCellularNeuroscience/VAME

Software Python tool to cluster behavioral signals obtained from pose estimation tools. Unsupervised probabilistic deep learning framework capable of finding behavioral motifs in pose estimation data. Capable of augmenting quantitative behavioral analyses of data derived from standard pose-estimation software packages. Written based on core functions from DeepLabCut, and readily works with pose data from that package. Can also work with data from other pose estimation packages such as SLEAP.

Proper citation: Variational Embedding of Animal Motion (RRID:SCR_022477) Copy   

•   Source: SciCrunch Registry

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

Software R package for visualization of intersecting sets. Used for quantitative analysis of sets, their intersections, and aggregates of intersections. Visualizes set intersections in matrix layout and introduces aggregates based on groupings and queries.

Proper citation: ComplexUpset (RRID:SCR_022752) Copy   

•   Source: SciCrunch Registry