Tools   Select Another Resource Report Type

https://hub.docker.com/r/mziemann/tallyup/

Docker image that is used to process all of the data present in the Digital Expression Explorer 2 dataset. It can be freely used by anyone to process data on NCBI SRA or process their own RNA-seq fastq files. Used for bulk reprocessing of public RNA-seq data from SRA. The pipeline tallies the reads assigned to each gene or transcript.

Proper citation: Digital Expression Explorer 2 Docker Image (RRID:SCR_016931) Copy   

•   Source: SciCrunch Registry

http://cab.spbu.ru/software/rnaquast/

Software tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. Capable to estimate gene database coverage by raw reads and de novo quality assessment using third party software.

Proper citation: rnaQUAST (RRID:SCR_016994) Copy   

•   Source: SciCrunch Registry

https://github.com/cran/CopyNumber450kCancer

Software R package baseline correction for accurate copy number calling from 450k methylation array. Baseline correction for copy number data from cancer samples. Implements maximum density peak estimation (MDPE) method together with interactive reviewing to efficiently correct baseline in cancer samples.

Proper citation: CopyNumber450kCancer (RRID:SCR_017965) Copy   

•   Source: SciCrunch Registry

https://github.com/ropenscilabs/datastorr

Software package for simple data retrieval and versioning.

Proper citation: datastorr (RRID:SCR_017040) Copy   

•   Source: SciCrunch Registry

https://github.com/bjohnnyd/fs-tool

Software tool to calculate fraction of shared bound peptides between HLA proteins. Command-line tool to calculate fraction of shared bound peptides between HLA alleles from NetMHCpan binding predictions. Compares fraction shared between HLA allele and individual taking into account HLA and KIR genotypes.

Proper citation: fs-tool (RRID:SCR_018250) Copy   

•   Source: SciCrunch Registry

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/rrwick/Porechop

Software tool for finding and removing adapters from Oxford Nanopore reads.

Proper citation: Porechop (RRID:SCR_016967) 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://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://inutano.github.io/cwl-metrics/

Software framework to collect and analyze computational resource usage of workflow runs based on common workflow language CWL. Used to share set of tools packaged in containers. Enables users to choose proper cloud instance for workflow runs based on run time metrics data. Operating system Unix/Linux.

Proper citation: cwl-metrics (RRID:SCR_017076) Copy   

•   Source: SciCrunch Registry

https://github.com/CGATOxford/UMI-tools

Open source software package for handling Unique Molecular Identifiers in NGS data sets.

Proper citation: UMI-tools (RRID:SCR_017048) Copy   

•   Source: SciCrunch Registry

http://www.scbi.uma.es/site/

Provides assistance in computing, nanotechnology, and biological fields. Provides scientific support and resources to the UMA research groups, public institutions and private companies.

Proper citation: University of Malaga Andalusian Platform of Bioinformatics Core Facility (RRID:SCR_017169) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/biostat/index.cfm

Core assists in genomics, proteomics and metabolomics data acquisition, management, analyses and interpretation to Mayo investigators. Participates in Basic science research, Clinical trials, Population health, and Translational science to execute analytical workflows and manage large omics data sets. Provides support to Mayo Clinic Center for Individualized Medicine and Mayo Clinic Cancer Center. Has its academic home in Department of Health Sciences Research within Division of Biomedical Statistics and Informatics.

Proper citation: Mayo Clinic Rochehster Bioinformatics Core Facility (RRID:SCR_017161) Copy   

•   Source: SciCrunch Registry

https://www.ie-freiburg.mpg.de/bioinformaticsfac

Core provides assistance in primary analysis of sequencing data and other large scale biocomputing. For our internal users we host extensive web services, workflows and customized tools that help with data management, visualizations, standardized analyses and data sharing.

Proper citation: Max Planck Institiute of Immunobiology and Epigenetics Bioinformatics Core Facility (RRID:SCR_017160) Copy   

•   Source: SciCrunch Registry

https://github.com/dgrun/RaceID

Algorithm for identification of rare and abundant cell types from single cell transcriptome data. Based on transcript counts obtained with unique molecular identifies. Used for discovering rare cell types and corresponding marker genes in healthy and diseased organs. Operating system Unix/Linux, Mac OS, Windows.

Proper citation: RaceID (RRID:SCR_017045) Copy   

•   Source: SciCrunch Registry

https://medicine.umich.edu/dept/dcmb/center-computational-medicine-bioinformatics

University interdisciplinary academic center for bioinformatics, biomedical data science, and translational precision health informatics. Core provides training programs.

Proper citation: University of Michigan School of Medicine Center of Computational Medicine and Bioinformatics Core Facility (RRID:SCR_017179) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/goseq.html

Software application for performing Gene Ontology analysis on RNAseq data and other length biased data. Used to reduce complexity and highlight biological processes in genome wide expression studies.

Proper citation: Goseq (RRID:SCR_017052) Copy   

•   Source: SciCrunch Registry