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https://github.com/PGB-LIV/VAPPER

Software tool for analysis of variant antigens in African trypanosomes. Used for quantitative analysis of antigenic diversity in systems data of genomes, transcriptomes, and proteomes, called Variant Antigen Profiling to understand how antigenic diversity relates to clinical outcome, how antigen genes may be used as epidemiological markers of virulence, and in measuring gene expression during experimental infections.

Proper citation: VAPPER (RRID:SCR_016993) Copy   

•   Source: SciCrunch Registry

https://www.sciencescott.com/pyminer

Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.

Proper citation: PyMINEr (RRID:SCR_016990) 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://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

https://pcago.bioinf.uni-jena.de/

Interactive web service for analysis of RNA-Seq read count data with principal component analysis (PCA) and agglomerative clustering. Includes features like read count normalization, filtering read counts by gene annotation and visualization options.

Proper citation: PCAGO (RRID:SCR_017033) 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://github.com/SionBayliss/PIRATE

Software pangenomics toolbox for clustering diverged orthologues in bacteria. Used to identify and classify orthologous gene families in bacterial pangenomes over wide range of sequence similarity thresholds.

Proper citation: PIRATE (RRID:SCR_017265) Copy   

•   Source: SciCrunch Registry

http://lrpath.ncibi.org/

Web tool to perform gene set enrichment testing. Used to test for predefined biologically relevant gene sets that contain more significant genes from experimental dataset than expected by chance. Logistic regression approach for identifying enriched biological groups in gene expression data.

Proper citation: LRPath (RRID:SCR_018572) Copy   

•   Source: SciCrunch Registry

http://theparkerlab.org/tools/isleteqtl/

Web tool for exploring variants in islet expression quantitative trait loci. Data is result of collaboration between Michigan University Parker lab, Department of Biostatistics and Center for Statistical Genetics at University of Michigan, National Human Genome Research Institute, Jackson Laboratory for Genomic Medicine, Department of Genetics at University of North Carolina, European Bioinformatics Institute, Department of Preventive Medicine at University of Southern California, and Department of Physiology and Biophysics at University of Southern California.

Proper citation: Islet eQTL Explorer (RRID:SCR_018692) Copy   

•   Source: SciCrunch Registry

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

Software toolkit for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control. This package facilitates pre-processing, quality control, normalization and visualization of scRNA-seq data.

Proper citation: scater (RRID:SCR_015954) Copy   

•   Source: SciCrunch Registry

https://github.com/cyaguesa/SL-quant/

Source code for a bash pipeline that quantifies splice-leader (SL) trans-splicing events by genes in the nematode C. elegans. It is designed to work downstream of read mapping and takes the reads left unmapped as primary input.

Proper citation: SL-quant (RRID:SCR_016205) Copy   

•   Source: SciCrunch Registry

http://www.functionalnet.org/humannet/about.html

Database of human protein-encoding genes that is constructed by a modified Bayesian integration of 'omics' data from multiple organisms. Each data type is weighted according to how well it links genes that are known to function together in humans, and each interaction has an associated log-likelihood score (LLS) that measures the probability of an interaction representing a true functional linkage between two genes.

Proper citation: HumanNet (RRID:SCR_016146) Copy   

•   Source: SciCrunch Registry

http://homes.gersteinlab.org/Khurana-PLoSCompBio-2013/

Software for an integrated network combining multiple biological network database sources into a single human protein interactome. The software package contains gene interaction pairs corresponding to the unified global network.

Proper citation: MultiNet (RRID:SCR_016149) Copy   

•   Source: SciCrunch Registry

https://github.com/Oshlack/Clinker/wiki

Software for a bioinformatics pipeline that generates a superTranscriptome from popular fusion finder outputs (JAFFA, tophatFusion, SOAP, deFUSE, Pizzly, etc). They can be then be either viewed in genome viewers such as IGV or through the included plotting feature developed with GViz.

Proper citation: Clinker (RRID:SCR_016140) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/L1000CDS2

LINCS L1000 characteristic direction signatures search engine. Software tool to find consensus signatures that match user’s input gene lists or input signatures. Underlying dataset is LINCS L1000 small molecule expression profiles generated at Broad Institute by Connectivity Map team. Differentially expressed genes of these profiles were calculated using multivariate method called Characteristic Direction.

Proper citation: L1000 Characteristic Direction Signature Search Engine (RRID:SCR_016177) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/Harmonizome/

Web application that allows for searching, visualization, and prediction about genes and proteins. It contains a collection of processed datasets gathered to serve and mine knowledge about genes and proteins from major online resources.

Proper citation: Harmonizome (RRID:SCR_016176) Copy   

•   Source: SciCrunch Registry

https://isi.edu/integration/people/chunnan/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 14, 2018. An XML-RPC client of a web-service server which provides the service to recognize named entities in the biomedical articles. It is Gene Mention Tagger (GMT) for Biological Text Mining.

Proper citation: AIIA-GMT (RRID:SCR_016397) Copy   

•   Source: SciCrunch Registry

https://gemma.msl.ubc.ca/phenotypes.html

Database that consolidates information on genes and phenotypes across multiple resources and allows tracking and exploring of the associations. Part of Gemma, a web site, database and a set of tools for the meta-analysis, re-use and sharing of genomics data.

Proper citation: Phenocarta (RRID:SCR_016273) Copy   

•   Source: SciCrunch Registry

http://aspiredb.msl.ubc.ca/

Web based software for analyzing genomic variants CNVs, SNVs, and Indels and phenotypes. It aims to represent the relationships between discovered variants and phenotypes.

Proper citation: AspireDB (RRID:SCR_016272) Copy   

•   Source: SciCrunch Registry

http://www.nlac.org.tw/RMRC/index_e.aspx

Supplier of mice for research purposes.

Proper citation: National Applied Research Laboratories (RRID:SCR_016405) Copy   

•   Source: SciCrunch Registry