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http://bowtie-bio.sourceforge.net/index.shtml

Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.

Proper citation: Bowtie (RRID:SCR_005476) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/pfa/iprscan/

Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.

Proper citation: InterProScan (RRID:SCR_005829) Copy   

•   Source: SciCrunch Registry

http://genemania.org/

Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: GeneMANIA (RRID:SCR_005709) Copy   

•   Source: SciCrunch Registry

http://estbioinfo.stat.ub.es/?page_id=2

The Statistics and Bioinformatics research group has as its main objectives the development of methods and tools to deal with problems appearing in the interface between Statistics and Bioinformatics. We started focusing in DNA microarrays but we are also interested in statistical methods for ''omics'' data integration and next generation sequencing (NGS). Our group collaborates with different research groups in the fields of biology and biomedicine, to whom it offers statistical support for problems which are specifically statistic in nature, such as experimental design or microarray data analysis, and also in more general aspects, such as modeling, analysis or data mining. After a first period of collaboration agreements with the Fundaci�� Vall d''Hebr��n Institut de Recerca we contributed to the creation of the Statistics and Bioinformatics Unit (UEB) which provides statistical and bioinformatical support to VHIR researchers.

Proper citation: University of Barcelona Statistics and Bioinformatics Research Group (RRID:SCR_005704) Copy   

•   Source: SciCrunch Registry

http://vortex.cs.wayne.edu/projects.htm#Onto-Translate

In the annotation world, the same piece of information can be stored and viewed differently across different databases. For instance, more than one Affymetrix probe ID can refer to the same GenBank sequence (accession number) and more than one nucleotide sequence from GenBank can be grouped in a single UniGene cluster. The result of Onto-Express depends on whether the input list contains Affymetrix probe IDs, GenBank accession numbers or UniGene cluster IDs. The user has to be aware of relations between the different forms of the data in order to interpret correctly the results. Even if the user is aware of the relationships and knows how to convert them, most existing tools allow conversions of individual genes. Onto-Translate is a tool that allows the user to perform easily such translations. Affymetrix probe IDs, etc., translate GO terms into other identifiers like GenBank accession number, Uniprot IDs. User account required. Platform: Online tool

Proper citation: Onto-Translate (RRID:SCR_005725) Copy   

•   Source: SciCrunch Registry

http://www.gotaxexplorer.de/

GOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: GOTaxExplorer (RRID:SCR_005720) Copy   

•   Source: SciCrunch Registry

http://vortex.cs.wayne.edu/projects.htm#Onto-Miner

Onto-Miner (OM) provides a single and convenient interface that allows the user to interrogate our databases regarding annotations of known genes. OM will return all known information about a given list of genes. Advantages of OM include the fact it allows queries with multiple genes and allows for scripting. This is unlike GenBank which uses a single gene navigation process. Scripted search of the Onto-Tools database for gene annotations. User account required. Platform: Online tool

Proper citation: Onto-Miner (RRID:SCR_005722) Copy   

•   Source: SciCrunch Registry

http://neuro.imm.dtu.dk/software/brede/

A package for neuroinformatics and neuroimaging analysis mostly programmed in Matlab with a few additional programs in Python and Perl. It allows coordinate-based meta-analysis and visualization, neuroimaging analysis of voxel or regional data - not the original data but rather the summary images (e.g., statistical parametric images) and location data in stereotactic space. Among the algorithms implemented are kernel density estimation (for coordinate-based meta-analysis), independent component analysis, non-negative matrix factorization, k-means clustering, singular value decomposition, partial correlation analysis with permutation testing and partial canonical correlation analysis. Visualization of coordinate, surfaces and volumes are possible in 2D and 3D. Generation of HTML for results are possible and algorithms can be accessed from the command line or via a flexible graphical interface. With the Brede Toolbox comes the Brede Database with a small coordinate database from published neuroimaging studies, and ontologies for, e.g., brain function and brain regions.

Proper citation: Brede Toolbox (RRID:SCR_006204) Copy   

•   Source: SciCrunch Registry

http://knime.org/

KNIME (Konstanz Information Miner) is a user-friendly and comprehensive Open-Source data integration, processing, analysis, and exploration platform. KNIME (naim) is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualization and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Robust big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries. The modular data exploration platform, initially developed at the University of Konstanz, Germany, enables the user to visually create data flows, execute selected analysis steps, and later investigate the results through interactive views on data and models. KNIME is a proven integration platform for tools of numerous vendors due to its open and modular API. The KNIME.com product pipeline includes an Enterprise Server, Cluster Execution, Reporting solutions, and professional KNIME support subscriptions. KNIME.com also offer services such as data analysis, hands-on training and the development of customized components for KNIME.

Proper citation: Knime (RRID:SCR_006164) Copy   

•   Source: SciCrunch Registry

https://singlecell.pitt.edu/

Core offers single cell sequencing. Provides analysis of transcriptomics, proteomics and epigenomics at single cell level. Provides comprehensive approach for cell characterization and gene expression profiling. Services include single cell gene expression, immune profiling, ATAC, and multiome analysis.

Proper citation: University of Pittsburgh Single Cell Core Facility (RRID:SCR_025110) Copy   

•   Source: SciCrunch Registry

https://www.biochem.mpg.de/mass_spectrometry

Mass spectrometry core facility. Facility uses chromatography systems, mass spectrometers and workflows for in-depth analysis of biomolecules.

Proper citation: Max Planck Institute of Biochemistry Mass Spectrometry Core Facility (RRID:SCR_025745) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/jrobust/

Software application for analysis of force microscopy recordings, including images and force curves. Allows for fast and reliable processing of single force curves and force maps, providing estimation of mechanical properties of sample.

Proper citation: AtomicJ (RRID:SCR_026023) Copy   

•   Source: SciCrunch Registry

http://pctriadd.com/genomic-analysis/overview

Core offers sequencing and microarray services, solutions for the profiling of FFPE tissues, and complete, project-tailored downstream bioinformatics analysis. The core's structure enables the management of research projects from experimental design to analysis and interpretation of data as well as support for grant applications and publications. The LAGA provides open fee-for-service access as a core facility (intra-institutional services to its researchers) and as regional, national and international facility (inter-institutional services).

Proper citation: Vancouver Prostate Centre Laboratory for Advanced Genome Analysis (RRID:SCR_012394) Copy   

•   Source: SciCrunch Registry

https://pharmacycorefacilities.usc.edu/translational-lab/

Core is equipped with a wide variety of technologically advanced instruments essential for cutting edge biomedical discovery and therapeutic development research. TRLab is composed of two major units. The Computational Bioinformatics Unit houses graphic workstations and modeling programs that enable in silico virtual screening and rational drug design applications. The Therapeutic Screening Unit houses a number of specialized instruments that enable a broad range of automated and multiplexed biological analyses in a throughput manner. The core mission of the TRLab has been to provide investigators with a state-of-the-art technological platform and technical expertise to advance translational research endeavors in the School of Pharmacy and at USC.

Proper citation: University of Southern California School of Pharmacy Translational Research Laboratory (RRID:SCR_012253) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/epigenome-center-data-production-facility-usc

Core conducts genome-scale epigenetic and genetic data production and analysis, technology development, and epigenomic and population-based genomic research.

Proper citation: University of Southern California Epigenome Center Data Production Facility (RRID:SCR_012476) Copy   

•   Source: SciCrunch Registry

https://systemsbiology.columbia.edu/genome-center

Core sells sequencing data and bioinformatic analytics services to the scientific community. Core aims to permit the development of research on sequencing protocols and encourage collaboration with clinicians to develop the next generation genomic DNA testing.

Proper citation: JP Sulzberger Columbia Genome Center (RRID:SCR_012650) Copy   

•   Source: SciCrunch Registry

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_GenomicsDNAAnalysis.aspx

Core facility that provides sequencing services, access to equipment and consultation on experimental design and data analysis. Available instruments include the Life Technologies Ion Torrent PGM and Ion Proton sequencers. Core also provides amplification-free analysis of RNA expression using the NanoString nCounter, and additionally provides sequencing and analysis services to investigators outside of SBP. Included in the cost of sequencing is basic bioinformatic analysis (SNP/InDel calling, transcript abundance). Lastly, the core also provides advice on experimental design, and guidance on the capabilities of next-generation sequencing.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Genomics DNA Analysis Facility (RRID:SCR_014866) Copy   

•   Source: SciCrunch Registry

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_HighContentScreening.aspx

Core facility that provides access to the HTS plate and liquid handling infrastructure of the screening center, as well as the screening center�s cell culture facility. Other services include assay development, screening, and data analysis/mining expertise and services for high content screens. Consultation from the team is available for high content image-based screens including sample preparation, image acquisition, image analysis, image data management, and algorithm development.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute High-content Screening Core Facility (RRID:SCR_014869) Copy   

•   Source: SciCrunch Registry

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_Cheminformatics.aspx

Core facility that supports assay development, high throughput (HTS), ultra-high throughput (uHTS), and high-content screening (HCS) activities performed at the Conrad Prebys Center for Chemical Genomics by providing databases and tools for compound registration and inventory, HTS plate formatting and tracking, HTS and HCS bioassay data processing as well as related data and information handling. Data mining and reporting are also facilitated with a user-friendly database interface. The Cheminformatics core also supports the design and obtaining of appropriate compound collections, as well as SAR follow-up of hits, hit-to-lead optimization and in silico screening through docking and other molecular modeling approaches.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Cheminformatics Core (RRID:SCR_014875) Copy   

•   Source: SciCrunch Registry

http://www.scripps.edu/florida/technologies/cbs/index.html

Core facility that provides access to genome-wide collections of cDNAs and siRNAs that can be used to interrogate cellular models of signal transduction pathways and phenotypes. Services include cell lines, hit-picking clones and various screening sets, and access to equipment.Provides instruments:Analyst Molecular Devices,Embla Molecular Devices, Envision Perkin Elmer, Platemate Matrix, Tecan M200, Wellmate Matrix.

Proper citation: Scripps Research Institute Florida Cell Based High Throughput Screening Core Facility (RRID:SCR_014877) Copy   

•   Source: SciCrunch Registry