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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.

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On page 5 showing 81 ~ 100 out of 997 results
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  • RRID:SCR_016991

    This resource has 10+ mentions.

http://www.biosoft.com/w/assayzap.htm

Software tool as universal assay calculator for RIA, ELISA, IRMA, colorimetric or any other type of assay by Biosoft. Maintains record for each assay, and enables standard curve and QCs to be compared and adjusted. Can process data from 96 and 384-well plate readers in any order.

Proper citation: AssayZap (RRID:SCR_016991) Copy   


  • RRID:SCR_017682

    This resource has 10+ mentions.

http://hmri.info

Software toolbox for quantitative MRI in neuroscience and clinical research. Open source and flexible tool for qMRI data handling and processing. Allows estimation of high quality multi parameter qMRI maps followed by spatial registration in common space for statistical analysis.

Proper citation: hMRI-toolbox (RRID:SCR_017682) Copy   


  • RRID:SCR_017338

    This resource has 10+ mentions.

https://github.com/hemberg-lab/scmap

Software tool for unsupervised projection of single cell RNA-seq data. Used for projecting cells from scRNA-seq data set onto cell types or individual cells from other experiments.

Proper citation: Scmap (RRID:SCR_017338) Copy   


  • RRID:SCR_018140

    This resource has 1+ mentions.

https://github.com/taborlab/FlowCal

Open source software tool for automatically converting flow cytometry data from arbitrary to calibrated units. Can be run using intuitive Microsoft Excel interface, or customizable Python scripts. Software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Automatically gates data, calculates common statistics, and produces plots.

Proper citation: FlowCal (RRID:SCR_018140) Copy   


  • RRID:SCR_017450

    This resource has 1+ mentions.

https://github.com/Nevermore520/NeuronTools

Software tools for converting data files into persistence diagrams and distance matrices.

Proper citation: Neuron Tools (RRID:SCR_017450) Copy   


  • RRID:SCR_016966

    This resource has 100+ mentions.

https://github.com/wdecoster/nanofilt

Software tool written in Python to perform its filtering based on mean read quality and GC content and read length. Used for filtering and trimming of long read sequencing data.

Proper citation: NanoFilt (RRID:SCR_016966) Copy   


  • RRID:SCR_017025

    This resource has 1+ mentions.

https://github.com/mandricigor/ScaffMatch

Software tool as scaffolding algorithm based on maximum weight matching able to produce high quality scaffolds from next generation sequencing data (reads and contigs). Able to handle reads with both short and long insert sizes.

Proper citation: ScaffMatch (RRID:SCR_017025) Copy   


  • RRID:SCR_017303

    This resource has 1+ mentions.

https://bitbucket.org/nicofmay/basta-bayesian-structured-coalescent-approximation/src/master/

Software package as Bayesian method to infer migration from genetic data. Implemented in BEAST2 that combines accuracy of methods based on structured coalescent with computational efficiency required to handle more than few populations.

Proper citation: BASTA (RRID:SCR_017303) Copy   


https://scienceofbehaviorchange.org/about/

Repository for behavioral science measures that have been validated or are in process of being validated in accordance with SOBC Experimental Medicine Approach.

Proper citation: Science of Behavior Change Research Network (RRID:SCR_017385) Copy   


  • RRID:SCR_016978

    This resource has 1+ mentions.

https://geomagic-studio.software.informer.com/12.0/

Software tool to convert 3D scans into parametric models. Transforms 3D scan data into highly accurate surface, polygon and native CAD models. Used for reverse engineering, product design, rapid prototyping and analysis.

Proper citation: GEOMAGIC Studio (RRID:SCR_016978) Copy   


https://kona.nhgri.nih.gov/mnemiopsis/

Portal to obtain genomic information on Mnemiopsis. Data available provide annotations and other key biological information not available elsewhere. Used to advance research projects aimed at understanding phylogenetic diversity and evolution of proteins that play fundamental role in metazoan development. Collection of sequenced, assembled, annotated, and performed preliminary analysis of genome of Mnemiopsis.

Proper citation: Mnemiopsis Genome Project Portal (RRID:SCR_018293) Copy   


https://hdmf.readthedocs.io/

Open source software Python package for working with hierarchical data. Provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object.Used for working with standardizing, reading, and writing hierarchical object data.

Proper citation: Hierarchical Data Modeling Framework (RRID:SCR_021303) Copy   


  • RRID:SCR_018515

    This resource has 1+ mentions.

https://rubygems.org/gems/viral_seq

Ruby Gem with bioinformatics tools for processing viral NGS data. Specifically for Primer-ID sequencing and HIV drug resistance analysis.

Proper citation: viral_seq (RRID:SCR_018515) Copy   


  • RRID:SCR_018193

    This resource has 1+ mentions.

https://github.com/berenslab/EphysExtraction

Software tool as code to extract electrophysiological parameters of neurons. Code is continuously being updated to handle more kinds of voltage traces and extract different kinds of features.

Proper citation: EphysExtraction (RRID:SCR_018193) Copy   


  • RRID:SCR_018198

https://github.com/lufuhao/GeneSyntenyPipeline

Software pipeline was designed to draw gene synteny plot between genomes and obtain 1 to 1 gene pairs from each genome.

Proper citation: GeneSyntenyPipeline (RRID:SCR_018198) Copy   


  • RRID:SCR_021099

    This resource has 1+ mentions.

https://github.com/ttrogers/DecodingDynamic

Data, code, and notebooks for replicating analyses reported in Rogers et al., Evidence for deep, distributed and dynamic semantic code in human ventral anterior temporal cortex.

Proper citation: DecodingDynamic (RRID:SCR_021099) Copy   


  • RRID:SCR_018527

    This resource has 1+ mentions.

http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/genomic_curated_CDF.asp

Brainarray custom CDFs for processing raw Affymetrix data. Used to map probe to probesets. Oligonucleotide probes on GeneChips are reorganized based on latest genome and transcriptome information.

Proper citation: CustomCDF (RRID:SCR_018527) Copy   


  • RRID:SCR_005031

    This resource has 100+ mentions.

http://openneuro.org

Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data.

Proper citation: OpenNeuro (RRID:SCR_005031) Copy   


  • RRID:SCR_005780

    This resource has 10000+ mentions.

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   


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   



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