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https://github.com/llawas/Rice_HxD_Recovery_Metabolomics

Software tool as source code used in analysis of GC MS data from rice samples. Workflow for statistical analysis of GC MS data from field grown rice collected during rewatering after exposure to combined drought and heat stress.

Proper citation: Rice_HxD_Recovery_Metabolomics (RRID:SCR_017204) Copy   

•   Source: SciCrunch Registry

https://www.plantsci.cam.ac.uk/bioinformatics

Core provides assistance in data analysis to support members of Plant Sciences.

Proper citation: University of Cambridge Department of Plant Sciences Bioinformatics Core Facility (RRID:SCR_017164) Copy   

•   Source: SciCrunch Registry

https://labs.gladstone.org/bioinformatics/index.html

Core provides consulting services, sequencing, data analysis, and programming assistance. Used for Experimental Design and Power Analysis Consultation, RNA-seq, ChIP-seq, ATAC-seq analysis, Statistics consulting, Variant calling, Data normalization across multiple projects, General programming, Custom Figures for publication, tutorials for learning common software tools.

Proper citation: UCSF Gladstone Institutes Bioinformatics Core Facility (RRID:SCR_017178) Copy   

•   Source: SciCrunch Registry

https://bonsai-rx.org/

Software event based framework for processing and controlling data streams. Visual language designed for making software systems that require rich and rapid interaction with external world.

Proper citation: Bonsai (RRID:SCR_017218) Copy   

•   Source: SciCrunch Registry

https://www.bmh.manchester.ac.uk/research/facilities/bioinformatics/

Core provides assistance in integrative analysis of genomic datasets to support faculty.

Proper citation: University of Manchester Bioinformatics Core Facility (RRID:SCR_017171) Copy   

•   Source: SciCrunch Registry

http://en.vhir.org/portal1/article_menu_serveis.asp?s=serveis&contenttypeid=43&contentid=1250&t=Presentation

Core at Vall dHebron Institut de Recerca, Barcelona, Spain to provide data analysis, softwares and training programs in statistics and bioinformatics for clinical research at VHIR.

Proper citation: Vall dHebron Institut de Recerca Statistics and Bioinformatics Unit Core Facility (RRID:SCR_017175) Copy   

•   Source: SciCrunch Registry

https://genome.duke.edu/cores-and-services/genomic-analysis-and-bioinformatics

Genomic Analysis and Bioinformatics core for data analysis associated with performing complex and data intensive projects in life science research of Duke University and Duke Medical School. Provides expertise, training, data analysis in next generation sequencing, array and proteomic based technologies.

Proper citation: Duke University Omics Data Analysis Core Facility (RRID:SCR_017174) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/data/experiment/html/affydata.html

Software R package for analysis of Affymetrix Data. Contains samples data files of a large size.

Proper citation: affydata (RRID:SCR_016976) Copy   

•   Source: SciCrunch Registry

https://www.ccpn.ac.uk/

Project provides tools and knowledge to maximize the impact of the biological NMR studies. CCPN software facilitates data analysis and software integration. Project promotes the exchange of knowledge and provides training and best practices for the NMR community and has leading role in the development of NMR data sharing standard and coordination of NMR instrumentation proposals. Includes CCPN Data Model for macromolecular NMR and related areas, CcpNmr suite of programs like Analysis for spectrum visualization, resonance assignment and analysis, ChemBuild to create chemical structure templates in an NMR aware manner, FormatConverter for data exchange with common textual NMR formats and SpecView for swift, format independent peak and spectrum visualization.

Proper citation: Collaborative Computing Project for NMR (RRID:SCR_016983) Copy   

•   Source: SciCrunch Registry

https://www.ccpn.ac.uk/v2-software/software/extras/datamodelfolder

Model to cover data for macromolecular NMR spectroscopy from the initial experimental data to the final validation. Used for the large scale data deposition, data mining and program interoperability. Enables movement from one software package to another without difficulties with data conversion or loss of information. Works with CcpNmr Analysis software for analysis and interactive display, CcpNmr FormatConverter for allowing transfer of data from programs used in NMR to and from the Data Model, and the CLOUDS software for automated structure calculation and assignment. Used within the CCPN software suite for NMR spectroscopy and at the BioMagResBank for converting existing deposited restraint lists to a standard IUPAC nomenclature.

Proper citation: CCPN Data Model (RRID:SCR_016982) Copy   

•   Source: SciCrunch Registry

https://www.ccpn.ac.uk/v2-software/software/analysis

Software package for interactive NMR spectrum visualization, resonance assignment and data analysis. Graphical elements allow to enter information and to view status of data and library functions manipulate the CCPN data model objects to record the scientific information. Software is cross platform and works on Linux, Mac OSX, Windows and Unix.

Proper citation: CCPN Analysis (RRID:SCR_016984) Copy   

•   Source: SciCrunch Registry

https://ous-research.no/bioinformatics/

Core facility provides high throughput sequencing data analysis, metagenomics data analysis, proteomics data analysis, protein structure analysis, functional genomics, programming, scripting, and database or web services.

Proper citation: Rikshospitalet-Radiumhospitalet and University of Oslo Bioinformatics Core Facility (RRID:SCR_017152) Copy   

•   Source: SciCrunch Registry

http://carolina.imis.athena-innovation.gr/mirextra/

Software tool for analysis of expression data for microRNA function.

Proper citation: DIANA-mirExTra (RRID:SCR_017498) Copy   

•   Source: SciCrunch Registry

http://rtools.cbrc.jp/centroidfold/

Web server for RNA secondary structure prediction. Predicts RNA secondary structure from RNA sequence. Based on generalized centroid estimator.

Proper citation: CentroidFold (RRID:SCR_017253) Copy   

•   Source: SciCrunch Registry

https://epigenie.com/epigenetic-tools-and-databases/

Collection of epigenetic data browsers and repositories. Repository of epigenetics tools and databases by EpiGenie team.

Proper citation: Epigenie (RRID:SCR_017494) Copy   

•   Source: SciCrunch Registry

https://umgear.org/

Portal for visualization and analysis of multi omic data in public and private domains. Enables upload, visualization and analysis of scRNA-seq data.

Proper citation: gene Expression Analysis Resource (RRID:SCR_017467) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/genbank/dbest/

Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms.

Proper citation: dbEST (RRID:SCR_008132) Copy   

•   Source: SciCrunch Registry

http://wwwmgs.bionet.nsc.ru/mgs/gnw/about.shtml

GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses.

Proper citation: GeneNetWorks (RRID:SCR_008034) Copy   

•   Source: SciCrunch Registry

http://www.genomatix.de/

Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc.

Proper citation: Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) Copy   

•   Source: SciCrunch Registry

http://www.biodas.org

The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center.

Proper citation: Distributed Annotation System (RRID:SCR_008427) Copy   

•   Source: SciCrunch Registry