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http://www.nesys.uio.no/Atlas3D/

A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images.

Proper citation: Atlas3D (RRID:SCR_001808) Copy   

•   Source: SciCrunch Registry

http://protein.bio.unipd.it/pasta2/

Online interface that utilizes an algorithm to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. Users can paste the sequence into the interface and output the appropriate sequence.

Proper citation: Prediction of Amyloid Structure Aggregation (RRID:SCR_001768) Copy   

•   Source: SciCrunch Registry

https://www.uniklinik-freiburg.de/mr-en/research-groups/diffperf/fibertools.html

Implemented under MATLAB, this DTI image processing toolbox provides import-filters for several MR file standards, a processing unit to calculate the diffusion tensors; several GUI based tools to calculate fiber tracks and to evaluate the DTI dataset. The results can be filed as images with 3D impression or can be logged in formatted ASCII files. Tools and features: * DTI Processing Unit: Calculates the diffusion tensors and their eigenvalues and eigenvectors. Different file formats are supported (like DICOM, Bruker, binary files, Matlab structures). The standard SIEMENS and GE diffusion encoding schemes are supported; other schemes have to be defined in a separate text, .m or .mat file. * FiberTracking: ** Fiber tracking is realized by using the FACT algorithm (Mori et al., Annal. Neurol 1999). ** Probabilistic tracking realized by using the PiCo (Parker et al., JMRI 2003) approach but with DTI data as basis. It is possible to extract pathways between two seeds by combining two maps (Kreher et al., NeuroImage 2008). ** Global Fiber Tracking on basis of HARDI or DTI data. The method is based on the approach reported in (Marco Reisert et al: Global fiber reconstruction becomes practical. NeuroImage 54(2):955-62) * FiberViewer: ** Visualization and Navigation through different data modalities like DTI maps, fiber tracks, diffusion main directions. ** Supports different kinds of DTI maps (e.g. FA, Trace, lambda images ) ** Creation and manipulation of mask based ROIs. ** Selection of streamline fibers ** Visualization of probabilistic fiber tracking results ** Documentation by logging statistics of ROIs and fiber tracks into text files. ** Import/Export from/to ANALYZE or Nifti * 3D Visualizer: Visualization of map slices, ROIs, and fiber tracks with 3D impression. * Batch Editor: Automatic processing of high amounts of data. Possibility to link processing with SPM8 easily.

Proper citation: DTI and Fibertools Software Package (RRID:SCR_001641) Copy   

•   Source: SciCrunch Registry

http://www.bioit.org.cn/ao/aobase

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. AOBase is a database for antisense oligonucleotides (AOs) selection and design. AOBase is a database developed to facilitate Antisense Oligonucleotides (ODNs) selection for gene expression modulation and to provide a free data source for computer aided ODNs design. Information about valid and invalid ODNs reported in literature are collected and stored in the database, including oligo sequences, target sequences, secondary structures of the target sites, oligo activity measured, and the assay type used for activity measurement. The details on target RNA molecules and reference literature can be explored through the hyperlinks linked to GenBank and PubMed respectively. Each record can be searched for via two web retrieval interfaces: 1) TargetSearch interface, which allows users to query ODNs by name, accession number, or only imprecise descriptions of its target RNA; 2) AOSearch interface, which allows users to search ODNs with several parameters combined, such as oligo activity measured, oligo concentration applied, and motifs involved in oligo sequences. With these two retrieval interfaces, AOBase can be used to select effective ODNs for gene function exploration without expensive in vitro screening experiments, and contribute to mining rules for rational ODNs design. A user friendly interface to encourage data submission is provided.

Proper citation: Database for Antisense Oligonucleotides Selection and Design (RRID:SCR_001753) Copy   

•   Source: SciCrunch Registry

http://www.gudmap.org

Project aggregates and provides experimental gene expression data from genito-urinary system. International consortium providing molecular atlas of gene expression for developing organs of GenitoUrinary (GU) tract. Mouse strains to facilitate developmental and functional studies within GU system. Experimental protocols and standard specifications. Tutorials describing GU organogenesis and primary data via database. Data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of developing mouse genitourinary (GU) system.

Proper citation: GenitoUrinary Development Molecular Anatomy Project (RRID:SCR_001554) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/study/67

Clinical trial under the Urinary Incontinence Treatment Network to compare the treatment success for two surgical procedures that are frequently used and have similar cure rates, yet have not been compared directly to each other in a large, rigorously conducted randomized trial. The secondary aims of the trial are to compare other outcomes for the two surgical procedures, including quality of life, sexual function, satisfaction with treatment outcomes, complications, and need for other treatment(s) after surgery. Follow-up will be a minimum of two years and up to four years.

Proper citation: SISTEr (RRID:SCR_001542) Copy   

•   Source: SciCrunch Registry

http://meme-suite.org/

Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use.

Proper citation: MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.10/bioc/html/spade.html

An analysis and visualization software tool for high dimensional flow cytometry data that organizes cells into hierarchies of related phenotypes.

Proper citation: SPADE (RRID:SCR_001810) Copy   

•   Source: SciCrunch Registry

http://www.ncibi.org/

The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519.

Proper citation: National Center for Integrative Biomedical Informatics (RRID:SCR_001538) Copy   

•   Source: SciCrunch Registry

https://jmorp.megabank.tohoku.ac.jp/

Japanese multi omics reference panel. Provides multidimensional approach to diversity of Japanese population. Public database for plasma metabolome and proteome analyses. Updated to metabolome, genome, transcriptome, metagenome, number of samples, analysis methods of each dataset, expanding links between each layer and links between hierarchies.

Proper citation: jMORP (RRID:SCR_024755) Copy   

•   Source: SciCrunch Registry

http://mlodis.phasep.pro/

Manually curated database of relations between phase separation and diseases.

Proper citation: PhaSeDis (RRID:SCR_024963) Copy   

•   Source: SciCrunch Registry

https://pxdata.stat.fi/PxWeb/pxweb/en/StatFin/

Finland's statistical database contains collection of statistical tables on Finnish society and population of Finland including economy, housing, transport, tourism, consumption, prices, wages and salaries, energy, enterprises and other topics.

Proper citation: StatFin database (RRID:SCR_024843) Copy   

•   Source: SciCrunch Registry

http://db.phasep.pro/

Provides a collection of manually curated phase separation (PS) proteins and Membraneless organelles (MLOs) related proteins. Annotated phase separation-related proteins with droplet states, co-phase separation partners and other experimental information.

Proper citation: PhaSepDB (RRID:SCR_024964) Copy   

•   Source: SciCrunch Registry

https://npcr.se/in-english/

National Prostate Cancer Register of Sweden database.

Proper citation: National Prostate Cancer Register of Sweden (RRID:SCR_024844) Copy   

•   Source: SciCrunch Registry

https://maayanlab.cloud/drugmonizome/#/

Database with search engine for querying annotated sets of drugs and small molecules for performing drug set enrichment analysis.

Proper citation: Drugmonizome (RRID:SCR_024821) Copy   

•   Source: SciCrunch Registry

https://msgp.pt/

Database of protein components of mammalian stress granules.

Proper citation: Mammalian Stress Granules Proteome (RRID:SCR_024946) Copy   

•   Source: SciCrunch Registry

https://pephub.databio.org

Web biological metadata server to view, store, and share your sample metadata in form of Portable Encapsulated Projects. PEPhub takes advantage of PEP biological metadata standard to store, edit, and access your PEPs in one place. Components include database where PEPs are stored; API to programmatically read and write PEPs in database; web based user interface to view and manage these PEPs via front end.

Proper citation: PEPhub (RRID:SCR_024892) Copy   

•   Source: SciCrunch Registry

https://resources.aertslab.org/cistarget/

Web application to download database for motif enrichment, motif annotations,cluster-buster implementation, precomputed regions for creating gene-based databases and to download lists of transcription factors for human, mouse and fly, chip-seq tracks annotations.

Proper citation: cisTarget (RRID:SCR_024808) Copy   

•   Source: SciCrunch Registry

https://github.com/pmenzel/ont-assembly-snake

Software Snakemake workflow for bacterial genome assembly plus polishing for Oxford Nanopore sequencing using multiple tools.

Proper citation: ont-assembly-snake (RRID:SCR_024898) Copy   

•   Source: SciCrunch Registry

https://plants.jstor.org/

Database of digitized plant specimens. Used for finding plant name, type, specimens and their label data.The collection also includes partner contributed reference works and primary sources. Used for research and teaching in botany, ecology, and conservation studies.

Proper citation: JStor Global Plants (RRID:SCR_025018) Copy   

•   Source: SciCrunch Registry