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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://github.com/sansomlab/tenx
Pipeline for the analysis of 10x single cell RNA sequencing data. Collection of python3 pipelines and Rscripts to analyze data generated with the 10x Genomics platform. The pipelines are based on 10x's Cell Ranger pipeline for mapping and quantitation and the R Seurat package for downstream analysis.
Proper citation: tenx (RRID:SCR_016957) Copy
http://www.nitrc.org/projects/nutil/
Software toolbox to simplify and streamline mechanism of pre and post processing 2D brain image data. Neuroscience image processing and analysis utilities. Stand alone application that runs on all operating systems.
Proper citation: Nutil - Neuroimaging utilities (RRID:SCR_017183) Copy
Committee provides expert consultation on data elements and systems design for modeling and decision making for COVID-19 pandemic. Assembled at request of White House Office of Science and Technology Policy and Office of Assistant Secretary for Preparedness and Response in response to COVID-19 outbreak. Provides expert consultations on several topics, such as surface stability and incubation, social distancing, and crisis standards of care.
Proper citation: NASEM Standing Committee on Emerging Infectious Diseases and 21st Century Health Threats (RRID:SCR_018289) Copy
http://home.cc.umanitoba.ca/~frist/Bit/
BIT Core at University of Manitoba, Manitoba, Canada, provides bioinformatics services, resources and collaborations. Support for Genome assembly and annotation, Microarray and Transcriptomics, Systems Biology and Pathway analysis, Databases, Data pipelines, Bioinformatics software, Custom software and programming, Project Wikis, Lab group computer management.
Proper citation: University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility (RRID:SCR_017177) Copy
http://hpc-bioinformatics.cineca.it/stress_mice/
Sapienza University of Rome and Cineca consortium portal. Used for analyzing published RNAseq transcriptomes obtained from brain of mice exposed to different kinds of stress protocols, to generate database of stress related differentially expressed genes and to identify factors contributing to vulnerability or resistance to stress. Allows to query database of RNAseq data.
Proper citation: Stress Mice Portal (RRID:SCR_017572) Copy
https://github.com/lkmklsmn/DrivAER
Software tool as method for identification of driving transcriptional programs based on AutoEncoder derived Relevance scores. Infers relevance scores for transcriptional programs with respect to specified outcomes of interest in single-cell RNA sequencing data, such as psuedotemporal ordering or disease status.Used for manifold interpretation in scRNA-seq data.
Proper citation: DrivAER (RRID:SCR_019076) Copy
https://github.com/wilkinsonlab/epigenomics_pipeline
Software tool as epigenomics analysis pipeline for analysis of ChIP-Seq and RNA-Seq data using Docker images containing Galaxy and Jupyter.
Proper citation: Epigenomics Workflow on Galaxy and Jupyter (RRID:SCR_017544) Copy
Platform to provide tutorials and resources in experimental design and data analysis to researchers interested in using optical mapping data.
Proper citation: OpticalMapping.info (RRID:SCR_017146) Copy
https://github.com/sreeramkannan/Shannon
Software tool for de novo transcriptome assembly from RNA-Seq data.
Proper citation: Shannon (RRID:SCR_017037) Copy
https://github.com/neurostuff/NiMARE
Software Python package for coordinate and image based meta analysis of neuroimaging data.
Proper citation: NiMARE (RRID:SCR_017398) Copy
https://www.iconplc.com/innovation/nonmem/
Software tool for nonlinear mixed effects modelling. Used for population pharmacokinetic and pharmacodynamic analysis and to simulate data and to fit data. Used in the development of new drugs. NONMEM versions up through 6 are the property of the Regents of the University of California, San Francisco, but ICON Development Solutions has exclusive rights to license their use. NONMEM 7 up to the current version is the property of ICON Development Solutions.
Proper citation: NONMEM (RRID:SCR_016986) Copy
https://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html
Software package to arrange multiple heatmaps and support various annotation graphics. Used to visualize associations between different sources of data sets and to reveal potential patterns.
Proper citation: ComplexHeatmap (RRID:SCR_017270) Copy
Software tool for statistics and data visualization by Red Rock Software, Inc. Provides unparalleled chart selection, data analysis and graph customization capabilities.
Proper citation: Deltagraph (RRID:SCR_018084) Copy
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
Software tool as a cross-platform NIfTI format image viewer. Used for viewing and exporting of brain images. MRIcroGL is a variant of MRIcron.
Proper citation: MRIcron (RRID:SCR_002403) Copy
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
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
https://github.com/ABCD-STUDY/DEAP
Web service for data exploration and analysis of the ABCD Study - the largest long-term study of brain development and child health in the United States.
Proper citation: DEAP - Data Exploration and Analysis Portal (RRID:SCR_016158) Copy
Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility.
Proper citation: NeMOarchive (RRID:SCR_016152) Copy
Open source software package for comparative sequence analysis using stochastic evolutionary models. Used for analysis of genetic sequence data in particular the inference of natural selection using techniques in phylogenetics, molecular evolution, and machine learning.
Proper citation: HyPhy (RRID:SCR_016162) Copy
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