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http://hanalyzer.sourceforge.net/

An open-source data integration system designed to assist biologists in explaining the results observed in genome-scale experiments as well as generating new hypotheses. It combines information extraction techniques, semantic data integration, and reasoning and facilitates network visualization. The Hanalyzer source code and binaries are available for download.

Proper citation: Hanalyzer (RRID:SCR_000923) Copy   

•   Source: SciCrunch Registry

http://toxnet.nlm.nih.gov/cgi-bin/sis/htmlgen?DARTETIC

Bibliographic database providing references to developmental and reproductive toxicology literature on the National Library of Medicine's Toxicology Data Network. It covers teratology and other aspects of developmental and reproductive toxicology. It contains over 200,000 references to literature published since 1965. DART/ETIC is easily accessible and free of charge. Search by subject terms, title words, chemical name, Chemical Abstracts Service Registry Number (RN), and author. Search results can easily be viewed, printed or downloaded. Search results are displayed in relevancy ranked order, but may be sorted by publication date, author or title.

Proper citation: Developmental and Reproductive Toxicology Database (RRID:SCR_002326) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/proteinclusters

Database of related protein sequences (clusters) consisting of proteins derived from the annotations of whole genomes, organelles and plasmids. It currently limited to Archaea, Bacteria, Plants, Fungi, Protozoans, and Viruses. It contains annotation information, publications, domains, structures, and external links and analysis tools including multiple alignments, phylogenetic trees, and genomic neighborhoods (ProtMap). Data is available for download via Protein Clusters FTP

Proper citation: Protein Clusters (RRID:SCR_003459) Copy   

•   Source: SciCrunch Registry

http://www.midasplatform.org/

Open-source toolkit that enables the rapid creation of tailored, web-enabled data storage and provides a cohesive system for data management, visualization, and processing. At its core, Midas Platform is implemented as a PHP modular framework with a backend database (PostGreSQL, MySQL and non-relational databases). While the Midas Platform system can be installed and deployed without any customization, the framework has been designed with customization in mind. As building one system to fit all is not optimal, the framework has been extended to support plugins and layouts. Through integration with a range of other open-source toolkits, applications, or internal proprietary workflows, Midas Platform offers a solid foundation to meet the needs of data-centric computing. Midas Platform provides a variety of data access methods, including web, file system and DICOM server interfaces, and facilitates extending the methods in which data is stored to other relational and non-relational databases.

Proper citation: Midas Platform (RRID:SCR_002186) Copy   

•   Source: SciCrunch Registry

https://open.med.harvard.edu/display/SHRINE/Community

Software providing a scalable query and aggregation mechanism that enables federated queries across many independently operated patient databases. This platform enables clinical researchers to solve the problem of identifying sufficient numbers of patients to include in their studies by querying across distributed hospital electronic medical record systems. Through the use of a federated network protocol, SHRINE allows investigators to see limited data about patients meeting their study criteria without compromising patient privacy. This software should greatly enable population-based research, assessment of potential clinical trials cohorts, and hypothesis formation for followup study by combining the EHR assets across the hospital system. In order to obtain the maximum number of cases representing the study population, it is useful to aggregate patient facts across as many sites as possible. Cutting across institutional boundaries necessitates that each hospital IRB remain in control, and that their local authority is recognized for each and every request for patient data. The independence, ownership, and legal responsibilities of hospitals predetermines a decentralized technical approach, such as a federated query over locally controlled databases. The application comes with the SHRINE Core Ontology but it can be used with any ontology, even one that is disease specific. The Core Ontology is designed to enable the widest range of studies possible using facts gathered in the EMR during routine patient care. SHRINE allows multiple ontologies to be used for different research purposes on the same installed systems.

Proper citation: SHRINE (RRID:SCR_006293) Copy   

•   Source: SciCrunch Registry

https://github.com/YuanXue1993/SegAN

Image analysis software for medical image segmentation. The software is fueled by an end-to-end adversarial neural network that generates segmentation label maps.

Proper citation: SegAN (RRID:SCR_016215) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/bioproject

Database of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP.

Proper citation: NCBI BioProject (RRID:SCR_004801) Copy   

•   Source: SciCrunch Registry

https://github.com/epistasislab/hibachi

Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.

Proper citation: Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (RRID:SCR_017140) Copy   

•   Source: SciCrunch Registry

http://mummer.sourceforge.net/

Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.

Proper citation: MUMmer (RRID:SCR_018171) Copy   

•   Source: SciCrunch Registry

http://senselab.med.yale.edu/ordb/

Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors.

Proper citation: Olfactory Receptor DataBase (RRID:SCR_007830) Copy   

•   Source: SciCrunch Registry

http://rebase.neb.com/rebase/

Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email.,

Proper citation: REBASE (RRID:SCR_007886) Copy   

•   Source: SciCrunch Registry

http://www.pondr.com/

Web tool to predict order and disorder from amino acid sequence. Used to predict of natural disordered regions in proteins.

Proper citation: PONDR (RRID:SCR_023691) Copy   

•   Source: SciCrunch Registry

http://ailun.stanford.edu/

Re-annotated gene expression / proteomics data from GEO by relating all probe IDs to Entrez Gene IDs once every three months, enabling you to find data from GEO, and compare them from different platforms and species. Platform Annotations adds the latest annotations to any uploaded probe / gene ID list file. Platform Comparison compares any two platforms to find corresponding probes mapping to the same gene. Cross-species mapping maps platform annotations to other species. Gene Search finds deposited platforms and samples in GEO that contain a list of genes. GPL ID Search finds the GPL ID (GEO platform ID) for your array. You can also download the latest annotations files for all arrays and their comprehensive universal gene identifier table, which relates all types of gene / protein / clone identifiers to Entrez Gene IDs for all species. Note: The database was last updated on 4/30/2011. They have successfully mapped 54932732 individual probes from 385099 GEO samples measuring 3519 GEO platforms across 217 species.

Proper citation: Array Information Library Universal Navigator (RRID:SCR_006967) Copy   

•   Source: SciCrunch Registry

http://virtualhumanembryo.lsuhsc.edu/

A digital image database of serially sectioned human embryos from the Carnegie Collection originally developed as a collaboration between embryologist Dr. Raymond Gasser at Louisiana State University Health Science Center (LSUHSC) and the Human Developmental Anatomy Center (HDAC) in Washington D.C. The aim of the project is to increase understanding of human embryology and to encourage study of human embryonic development by providing students and researchers with reliable resources for human embryo morphology. The VHE project has several components: * DREM: The Digitally Reproduced Embryonic Morphology (DREM) project, with funding from NICHD, project has produced 27 image databases of labeled serial sections from representative human embryos at each of the 23 Carnegie stages. These databases, together with animations and reconstructions of the embryos are available on DVD and CD. * HEIRLOOM: The HEIRLOOM Collection (Human Embryo Imaging and Reconstruction, Library Of Online Media) was funded by the National Library of Medicine to provide greater access to the DREM databases. NLM provided funding to set up this website and to produce additional 3D-reconstructions and animations that are included on the DREM disks. Original website, http://virtualhumanembryo.lsuhsc.edu/HEIRLOOM/heirloom.htm * EHD: Starting in 2011, The Endowment for Human Development (EHD) will also host the VHE databases. They have made the project accessible to everyone and include a comprehensive cataloging of all the terms used to label the embryos. Their website enables users to browse through the complete VHE atlas of human embryology, http://www.ehd.org/virtual-human-embryo/

Proper citation: Virtual Human Embryo (RRID:SCR_006921) Copy   

•   Source: SciCrunch Registry

http://lrpath.ncibi.org/

Web tool to perform gene set enrichment testing. Used to test for predefined biologically relevant gene sets that contain more significant genes from experimental dataset than expected by chance. Logistic regression approach for identifying enriched biological groups in gene expression data.

Proper citation: LRPath (RRID:SCR_018572) Copy   

•   Source: SciCrunch Registry

https://github.com/kilicogluh/limitation-recognizer

Software tool to recognize self acknowledged limitation sentences in biomedical articles. Automatic recognition of self acknowledged limitations in clinical research literature to support efforts in improving research transparency.

Proper citation: Limitation-Recognizer (RRID:SCR_018747) Copy   

•   Source: SciCrunch Registry

http://scratch.proteomics.ics.uci.edu/

Web tool as sequence-based, alignment-free and pathogen-independent predictor of protein antigenicity.Predicts likelihood that protein is protective antigen. Integrated in SCRATCH suite of predictors.

Proper citation: ANTIGENpro (RRID:SCR_018779) Copy   

•   Source: SciCrunch Registry

https://integrativeomics.shinyapps.io/pseudofun_app/

Software as database and query tool for homologous pseudogene and coding gene families. Collection of human pseudogenes and gene associations. Supports search, graphical visualization and functional analysis of pseudogenes and coding genes based on PGG families.

Proper citation: PseudoFuN (RRID:SCR_017095) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/detonate/

Software tool to evaluate de novo transcriptome assemblies from RNA-Seq data. Consists of RSEM-EVAL and REF-EVAL packages. RSEM-EVAL is reference-free evaluation method. REF-EVAL is reference based and can be used to compare sets of any kinds of genomic sequences.

Proper citation: DETONATE (RRID:SCR_017035) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/EDDA

Ontology terms useful for machine learning experiments. The terminology appearing in JMLA has been enriched with terms from MeSH and Emtree, the controlled vocabularies for MEDLINE and Embase, respectively. Synonyms include American and British variants and some inverted terms.

Proper citation: EDDA Study Design Terminology (RRID:SCR_010312) Copy   

•   Source: SciCrunch Registry