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https://www.agilent.com/en/products/software-informatics/masshunter-suite/masshunter-for-life-science-research/profinder-software

Software tool as fast, batch processing feature extraction software for differential analysis that supports data from Agilent GC/MSD, GC/Q-TOF, LC/TOF and LC/Q-TOF instruments. Speeds up differential and flux analysis workflows using intuitive user interface. Used to analyze raw mass spectrometry data, choose peaks.

Proper citation: Profinder (RRID:SCR_017026) Copy   

•   Source: SciCrunch Registry

http://www.cisreg.ca/cgi-bin/NHR-scan/nhr_scan.cgi

Web interface for computational prediction of nuclear hormone receptor binding sites in genomic sequences. Flexible Hidden Markov Model framework to allow for variable spacing and orientation of half sites. Allows for parameter modifications.

Proper citation: Nuclear Hormone Receptor Scan (RRID:SCR_016975) Copy   

•   Source: SciCrunch Registry

https://www.bruker.com/pt/products/mr/epr/epr-software/winepr/overview.html

Software tool to operate the EMX series of spectrometers by Bruker. Provides rapid data analysis of 1D and 2D data sets, provides environment for acquisition and processing of CW-EPR and CW-ENDOR spectra with the EMXplus and EMXmicro series of spectrometers.

Proper citation: Bruker WinEPR program (RRID:SCR_017023) Copy   

•   Source: SciCrunch Registry

http://hibberdlab.com/transrate/

Open source software tool for de novo transcriptome assembly reference free quality analysis. Used to examine assembly in detail and compare it to sequencing reads, reporting quality scores for contigs and assemblies to allow to choose between assemblers and parameters, filter out bad contigs from an assembly, and help decide when to stop trying to improve assembly.

Proper citation: TransRate (RRID:SCR_017034) 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://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