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https://databrowser.researchallofus.org/

National research resource to provide interactive views of publicly available All of Us Research Program participant data including electronic health record data, biospecimens, surveys, and other measures taken at time of participant enrollment. Data platform will be open to researchers all over world and show data for groups of de-identified participants. Data is updated periodically.

Proper citation: Data Browser (RRID:SCR_017561) Copy   

•   Source: SciCrunch Registry

https://github.com/ncbi/SRPRISM/

Software tool as single read paired read indel substitution minimizer.

Proper citation: Single Read Paired Read Indel Substitution Minimizer (RRID:SCR_018023) Copy   

•   Source: SciCrunch Registry

https://github.com/nipy/heudiconv

Software tool as flexible DICOM converter for organizing brain imaging data into structured directory layouts.

Proper citation: HeuDiConv: a heuristic-centric DICOM converter (RRID:SCR_017427) Copy   

•   Source: SciCrunch Registry

https://github.com/lufuhao/ATACseqMappingPipeline

Software tool as pipeline to map ATAC-seq data to large genome, for example, for wheat. It splits large genome files into parts and do mapping and then finally merge them.

Proper citation: ATACseqMappingPipeline (RRID:SCR_017558) Copy   

•   Source: SciCrunch Registry

http://younglab.wi.mit.edu/super_enhancer_code.html

To create stitched enhancers, and to separate super enhancers from typical enhancers using sequencing data given file of previously identified constituent enhancers .

Proper citation: ROSE (RRID:SCR_017390) Copy   

•   Source: SciCrunch Registry

https://www.lungepigenome.org/

Project to provide data on genome and epigenome of human lung to facilitate research efforts of investigators studying diseases of lung including COVID-19.Collaboration among multiple groups at University of California including Center for Epigenomics, Gaulton lab and Sun lab at UCSD Department of Pediatrics. This work is conducted as part of LungMAP consortitum.

Proper citation: Lung Genome Browser (RRID:SCR_019255) Copy   

•   Source: SciCrunch Registry

https://broadinstitute.github.io/warp/docs/Pipelines/Single_Cell_ATAC_Seq_Pipeline/README

Pipeline developed in collaboration with Bing Ren lab and supports processing of BICCN single-cell/nucleus ATAC-seq datasets. Pipeline uses python module SnapTools to align and process paired reads in form of FASTQ files. Produces hdf5-structured Snap file that includes cell-by-bin count matrix. Final outputs also include GA4GH compliant aligned BAM and QC metrics.

Proper citation: scATAC Pipeline (RRID:SCR_018919) Copy   

•   Source: SciCrunch Registry

https://www.glygen.org

Data integration and dissemination project for carbohydrate and glycoconjugate related data. Computational and informatics resources for glycoscience. Portal provides user-friendly interface that facilitates exploration of glycoscience data from diverse international bioinformatics resources, including National Center for Biotechnology Information (NCBI), UniProt, Protein Data Bank (PDB), UniCarbKB, and GlyTouCan glycan structure repository. Retrieves information from data sources and integrates and harmonizes this data. Includes knowledge about molecular, biophysical and functional properties of glycans, genes, proteins and lipids organized in pathways and ontologies, plus data related to mutation and expression.

Proper citation: GlyGen (RRID:SCR_023438) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/package=wavethresh

Software R package to perform 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.

Proper citation: wavethresh (RRID:SCR_024311) Copy   

•   Source: SciCrunch Registry

http://www.sas.com

Software platform to explore, analyze and visualize data. SAS 9.4 is part of SAS Platform. Standardized data governance and management from statistical software company SAS.

Proper citation: Statistical Analysis System (RRID:SCR_008567) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/unigene

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Web tool for an organized view of the transcriptome. Collection of the computationally identified transcripts from the same locus. Information on protein similarities, gene expression, cDNA clones, and genomic location. System for automatically partitioning GenBank sequences into a non redundant set of gene oriented clusters.

Proper citation: UniGene (RRID:SCR_004405) Copy   

•   Source: SciCrunch Registry

https://github.com/dgrun/FateID

Software R package for inference of cell fate bias from single cell RNA-seq data. Iterative supervised learning algorithm for probabilistic quantification of cell fate bias in progenitor populations.

Proper citation: FateID (RRID:SCR_017244) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

https://www.zurich.ibm.com/cellcycletracer/

Software tool as supervised machine learning algorithm that classifies and sorts single cell mass cytometry data according to their cell cycle, which allows to correct for cell cycle state and cell volume heterogeneity. Reveals signaling relationships and cell heterogeneity that were otherwise masked. Computational method to quantify cell cycle and cell volume variability.

Proper citation: CellCycleTRACER (RRID:SCR_017128) Copy   

•   Source: SciCrunch Registry

https://github.com/jefferis/nat

Software R package for 3D visualisation and analysis of biological image data, especially tracings of single neurons.

Proper citation: NeuroAnatomy Toolbox (RRID:SCR_017248) Copy   

•   Source: SciCrunch Registry

https://panoramaweb.org/project/home/begin.view?

Repository software for targeted mass spectrometry assays from Skyline. Targeted proteomics knowledge base. Public repository for quantitative data sets processed in Skyline. Facilitates viewing, sharing, and disseminating results contained in Skyline documents.

Proper citation: PanoramaWeb (RRID:SCR_017136) Copy   

•   Source: SciCrunch Registry

https://github.com/powellgenomicslab/ascend

Software R package for analysis of single cell RNA-seq expression, normalization and differential expression data. Provides framework to perform cell and gene filtering, quality control, normalization, dimension reduction, clustering, differential expression, and visualization functions.

Proper citation: ascend (RRID:SCR_017257) Copy   

•   Source: SciCrunch Registry

https://proteomics.cancer.gov/programs/cptac

Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies.

Proper citation: CPTAC (RRID:SCR_017135) Copy   

•   Source: SciCrunch Registry

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

Software Python tool as viewer for MRI data and numpy arrays.

Proper citation: vini: A viewer for fMRI data (RRID:SCR_017250) Copy   

•   Source: SciCrunch Registry

http://www.iqtree.org/

Software tool as stochastic algorithm for estimating maximum likelihood phylogenies. Used for phylogenomic inference.

Proper citation: IQ-TREE (RRID:SCR_017254) Copy   

•   Source: SciCrunch Registry

http://research.mssm.edu/integrative-network-biology/Software.html

Software tool as probabilistic multi omics data matching procedure to curate data, identify and correct data annotation and errors in large databases. Used to check potential labeling errors in profiles where number of cis relationships is small, such as miRNA and RPPA profiles.

Proper citation: proMODMatcher (RRID:SCR_017219) Copy   

•   Source: SciCrunch Registry