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https://www.xsede.org/

XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services things like supercomputers, collections of data and new tools to improve our planet. XSEDE resources may be broadly categorized as follows: High Performance Computing, High Throughput Computing, Visualization, Storage, and Data Services. Many resources provide overlapping functionality across categories. Scientists, engineers, social scientists, and humanists around the world - many of them at colleges and universities - use advanced digital resources and services every day. Things like supercomputers, collections of data, and new tools are critical to the success of those researchers, who use them to make our lives healthier, safer, and better. XSEDE integrates these resources and services, makes them easier to use, and helps more people use them. XSEDE supports 16 supercomputers and high-end visualization and data analysis resources across the country. Digital services, meanwhile, provide users with seamless integration to NSF''s high-performance computing and data resources. XSEDE''s integrated, comprehensive suite of advanced digital services will federate with other high-end facilities and with campus-based resources, serving as the foundation for a national cyberinfrastructure ecosystem. Common authentication and trust mechanisms, global namespace and filesystems, remote job submission and monitoring, and file transfer services are examples of XSEDE''s advanced digital services. XSEDE''s standards-based architecture allows open development for future digital services and enhancements. XSEDE also provides the expertise to ensure that researchers can make the most of the supercomputers and tools.

Proper citation: XSEDE - Extreme Science and Engineering Discovery Environment (RRID:SCR_006091) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.bioinformatics.babraham.ac.uk/projects/trim_galore/

Software tool to automate quality and adapter trimming as well as quality control, with some added functionality to remove biased methylation positions for RRBS sequence files for directional, non-directional or paired-end sequencing. Wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for Reduced Representation Bisulfite Sequencing data.

Proper citation: Trim Galore (RRID:SCR_011847) Copy   

•   Source: SciCrunch Registry

https://github.com/TeamMacLean/atacr

Software that analyzes count data from RNA-capture-seq and ATAC-capture-seq experiments. Using BioConductor RangedSummarizedExperiment objects, atacr implements a set of helper functions and quality control plots specific to the analysis of counts of reads in windows across genomes.

Proper citation: atacr (RRID:SCR_016286) Copy   

•   Source: SciCrunch Registry

https://www.ruhr-uni-bochum.de/mpc/software/ProCon/index.html.en

Java based conversion tool for conversion of data from Proteomics files or a LIMS (Laboratory Information Management System) database into standard formats. Used to support wet-lab scientists in creating proteomics data files ready for upload into the public repositories.

Proper citation: ProCon - PROteomics CONversion (RRID:SCR_016363) Copy   

•   Source: SciCrunch Registry

https://github.com/isovic/racon

Software tool as de novo genome assembly from long uncorrected reads. Used to correct raw contigs generated by rapid assembly methods which do not include consensus step. Supports data produced by Pacific Biosciences and Oxford Nanopore Technologies.

Proper citation: Racon (RRID:SCR_017642) Copy   

•   Source: SciCrunch Registry

https://github.com/shendurelab/LACHESIS

Software tool for chromosome scale scaffolding of de novo genome assemblies based on chromatin interactions.Method exploits signal of genomic proximity in Hi-C datasets for ultra long range scaffolding of de novo genome assemblies.

Proper citation: LACHESIS (RRID:SCR_017644) Copy   

•   Source: SciCrunch Registry

https://github.com/facebook/prophet

Open source software package for producing forecasts for time series data that has multiple seasonality with linear or non linear growth. Implemented in R or Phyton.

Proper citation: Prophet (RRID:SCR_017083) Copy   

•   Source: SciCrunch Registry

http://www.twins.org.au/

Portal for Twins Research Australia. Brings twins and researchers together for vital health research in twins.

Proper citation: Twins Research Australia (RRID:SCR_017485) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/search/?type_of_search=group&q=wisconsin&sa.x=0&sa.y=0&sa=Search

Atlases enable alignment of individual scans to improve localization and statistical power of results, and allow comparison of results between studies and institutions. Set of multi subject atlas templates is constructed specifically for functional and structural imaging studies of rhesus macaque.

Proper citation: Rhesus Macaque Brain Atlases (RRID:SCR_017533) Copy   

•   Source: SciCrunch Registry

https://github.com/kstreet13/slingshot

Software R package for identifying and characterizing continuous developmental trajectories in single cell data. Cell lineage and pseudotime inference for single-cell transcriptomics.

Proper citation: Slingshot (RRID:SCR_017012) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

https://github.com/BodenmillerGroup/imctools

Software Python package that implements preprocessing pipeline for imaging mass cytometry data. Can convert IMC raw files to tiff files that are used as inputs into CellProfiller, Ilastik, Fiji etc.

Proper citation: imctools (RRID:SCR_017132) Copy   

•   Source: SciCrunch Registry

https://github.com/colinvaz/nmf-toolbox

Software toolbox for performing Non-negative Matrix Factorization (NMF) and several variants. Used to factorize one non negative matrix into two non negative factors, that is basis matrix and coefficient matrix. Applied in bioinformatics as data mining approach.

Proper citation: NMF Toolbox (RRID:SCR_017069) Copy   

•   Source: SciCrunch Registry

https://github.com/AlexsLemonade/refinebio

Software tool to uniformly process and normalize large amounts of data. Harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists.

Proper citation: refine.bio (RRID:SCR_017471) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://www.cdc.gov/fluview/?CDC_AAref_Val=https://www.cdc.gov/flu/weekly/weeklyarchives2008-2009/weekly15.htm

This page contains the Influenza Surveillance Report during 2008-2009 Influenza Season Week 15, ending April 18, 2009.

Proper citation: FluView: A Weekly Influenza Surveillance Report (RRID:SCR_001118) Copy   

•   Source: SciCrunch Registry