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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://goodcalculators.com/statistics-calculators/

Web service as calculator for statistics and analysis. Used on variety of browsers as well as mobile and tablet devices.They include Z-score, sample size, t value, One Way ANOVA Calculator, Percentile Calculator, Chi Square, p Value, and more.

Proper citation: Good Calculators (RRID:SCR_017123) Copy   

•   Source: SciCrunch Registry

https://www.nature.com/articles/s41467-018-03367-w

Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes.

Proper citation: nanoPOTS (RRID:SCR_017129) 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://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

https://bibiserv.cebitec.uni-bielefeld.de/pkiss

Software tool for folding RNA secondary structures, including two limited classes of pseudoknots. Performs abstract shape analysis for structures holding pseudoknots up to complexity of kissing hairpin motifs. Successor of pknotsRG. Used for secondary structure prediction including kissing hairpin motifs.

Proper citation: pKiss (RRID:SCR_017256) 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

https://cf.gu.se/english/bioinformatics

Core assists with statistical and bioinformatics consultation and data analysis.

Proper citation: University of Gothenburg Bioinformatics Core Facility (RRID:SCR_017189) Copy   

•   Source: SciCrunch Registry

https://github.com/aidenlab/juicer.git

Software platform for analyzing kilobase resolution Hi-C data. Open source tool for analyzing terabase scale Hi-C datasets. Allowes to transform raw sequence data into normalized contact maps.

Proper citation: Juicer (RRID:SCR_017226) Copy   

•   Source: SciCrunch Registry

https://github.com/anaphaze/ot-tools

Software tools for analysis of cellular cryo-ET data.

Proper citation: ot-tools (RRID:SCR_017191) Copy   

•   Source: SciCrunch Registry

http://www.igc.gulbenkian.pt/facilities/bioinformatics

IGC Core in Oeiras, Portugal, promotes use of computational methods in biological research, through training and development of resources and materials, supports biological data analysis using computational methods, conducts research and development in bioinformatics, in particular in data flows, data warehousing and data analyses.

Proper citation: Gulbenkian Institute of Science Bioinformatics and Computational Unit Core Facility (RRID:SCR_017190) Copy   

•   Source: SciCrunch Registry

https://www.ed.ac.uk/igmm/facilities/bioinformatics-analysis-core

Core provides advice, training, provision of computational tools and collaborative expertise to all IGMM researchers.

Proper citation: University of Edinburgh College of Medicine and Veterinary Medicine MRC Institute of Genetics and Molecular Medicine Bioinformatics Analysis Core Facility (RRID:SCR_017194) Copy   

•   Source: SciCrunch Registry

https://www.a-star.edu.sg/gis/Our-Science/Technology-Platforms/Scientific-and-Research-Computing

Core provides research computing resources including bioinformatics, application development, data management and IT infrastructure to support next generation sequencing technologies, human genotyping, high throughput screening and computational biology researchers.

Proper citation: Genome Institute of Singapore Scientific and Research Computing Core Facility (RRID:SCR_017193) Copy   

•   Source: SciCrunch Registry

https://www.trophoblast.cam.ac.uk/Resources/BioInformatics

Core provides assistance with experimental design, RNA sequencing, whole genome and targeted sequencing, methylation sequencing, protein alignment, microscopy image analysis, and training.

Proper citation: University of Cambridge Centre for Trophoblast Research Bioinformatics Core Facility (RRID:SCR_017192) Copy   

•   Source: SciCrunch Registry

https://www.keyence.co.jp/products/microscope/fluorescence-microscope/bz-8100/models/bz-h1a/

Software tool as analysis application BZ-H1A by Keyence, Japan for fluorescence microscope BZ-8100 series.

Proper citation: BZ Analyzer software (RRID:SCR_017205) 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://www.beckman.it/flow-cytometry/research-flow-cytometers/cytoflex/software

Software program that controls instrument operation, data collection and analysis. Software for CytoFLEX Platform by Beckman Coulter.

Proper citation: CytExpert Software (RRID:SCR_017217) Copy   

•   Source: SciCrunch Registry

https://github.com/EpistasisLab/pennai

Open source software tool to leverage supervised machine learning techniques to analyze data. Can assist with tasks such as choosing appropriate models for data. Data science assistant for generating results from large and complex data problems.

Proper citation: PennAI (RRID:SCR_017215) Copy   

•   Source: SciCrunch Registry