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http://nrtdp.northwestern.edu/

Organization dedicated to analysis of protein molecules by mass spectrometry, with a focus on intact protein measurements. Biomedical projects originated from clinical and basic research programs that utilize both targeted and untargeted analyses. Used for the development of new technology, training and dissemination of proteomics methods to laboratories and scientists.

Proper citation: National Resource for Translational and Developmental Proteomics (RRID:SCR_016907) Copy   

•   Source: SciCrunch Registry

https://omicssimla.sourceforge.io

Software tool for generating multi omics data with disease status. Simulates genomics (SNPs and copy number variations), epigenomics ( whole genome bisulphite sequencing), transcriptomics ( RNA seq), and proteomics (normalized reverse phase protein array) data at the whole genome level. Available as desktop and web application version.

Proper citation: OmicsSIMLA (RRID:SCR_017011) Copy   

•   Source: SciCrunch Registry

http://www.clustal.org/clustal2/

Software tool for nucleotide sequence alignment. Graphical version of multiple sequence alignment program for DNA and proteins. Windows interface for ClustalW multiple sequence alignment program. Provides integrated environment for performing multiple sequence and profile alignments and analyzing results. Available on Linux, Mac and Windows.

Proper citation: Clustal 2 (RRID:SCR_017055) 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://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

http://pathwaynet.princeton.edu/

Web user interface for interaction predictions of human gene networks and integrative analysis of user data types that takes advantage of data from diverse tissue and cell-lineage origins. Predicts presence of functional association and interaction type among human genes or its protein products on whole genome scale. Used to analyze experimetnal gene in context of interaction networks.

Proper citation: PathwayNet (RRID:SCR_017353) Copy   

•   Source: SciCrunch Registry

http://topaz.gatech.edu/GeneMark/

Software package for ab initio identification of protein coding regions in RNA transcripts. Algorithm parameters are estimated by unsupervised training which makes unnecessary manually curated preparation of training sets. Sets of assembled eukaryotic transcripts can be analyzed by modified GeneMarkS-T algorithm which part of gene prediction programs GeneMark.

Proper citation: GeneMarkS-T (RRID:SCR_017648) Copy   

•   Source: SciCrunch Registry

http://geneontology.org/docs/go-consortium/

Consortium integrates resources from variety of research groups, from model organisms to protein databases to biological research communities actively involved in development and implementation of Gene Ontology. Mission to develop up to date, comprehensive, computational model of biological systems, from molecular level to larger pathways, cellular and organism level systems.

Proper citation: GO Gene Ontology Consortium and Knowledgebase (RRID:SCR_017505) Copy   

•   Source: SciCrunch Registry

http://mordred.bioc.cam.ac.uk/~rapper/rampage.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2021.Web based structural analysis tool for any uploaded PDB file, producing Ramachandran plots, computing dihedral angles and extracting sequence from PDB. Used to visualize dihedral angles ψ against φ of amino acid residues in protein structure.

Proper citation: RAMPAGE (RRID:SCR_017590) Copy   

•   Source: SciCrunch Registry

http://vbspt.sourceforge.net/

Software package for analysis of single particle diffusion trajectories, where diffusion constants switch randomly according to Markov process. Analytical tool to combine information from thousands of short single-molecule trajectories of intracellularly diffusing proteins. Has ability to learn number of diffusive states directly from data, in addition to model parameters such as transition rates and diffusion constants.

Proper citation: vbSPT (RRID:SCR_017554) Copy   

•   Source: SciCrunch Registry

https://www.bio-rad.com/en-us/product/bio-plex-200-systems?ID=715b85f1-6a4e-41b3-b5d9-80202d779e13

Suspension array system which offers protein and nucleic acid researchers multiplex assay solution permiting analysis of up to 100 biomolecules in single sample.

Proper citation: Bio-Rad: Bio-Plex 200 System (RRID:SCR_018026) Copy   

•   Source: SciCrunch Registry

http://www.dpidb.genebee.msu.ru/

The database NPIDB (Nucleic acid Protein Interaction DataBase) contains information derived from structures of DNA-protein and RNA-protein complexes extracted from Protein Data Bank (PDB) (1932 complexes in the end of 2007). It is equipped with a web-interface and a set of tools for extracting biologically meaningful characteristics of complexes. They are committed to satisfy all potential database users in order to: 1. Provide an essential information on structural features of DNA-protein and RNA-protein interaction for the users who need to get acquainted with the problem. 2. Give an effective access to the reasonably structured information about all DNA-protein and RNA-protein complexes containing in PDB. 3. Allow all visitors a quick access to our own research.

Proper citation: DNA-Protein Interaction Database (RRID:SCR_000754) Copy   

•   Source: SciCrunch Registry

http://www.ampdb.bcs.uwa.edu.au/

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on September 23,2022. The Arabidopsis Mitochondrial Protein Database is an Internet-accessible relational database containing information on the predicted and experimentally confirmed protein complement of mitochondria from the model plant Arabidopsis thaliana. This database, and the proteomic data contained in it for Arabidopsis mitochondria, have been accepted for publication in The Plant Cell.

Proper citation: AMPDB: Arabidopsis Mitochondrial Protein Database (RRID:SCR_000758) Copy   

•   Source: SciCrunch Registry

http://www.biorag.org/index.php

Bio Resource for array genes is a free online resource for easy access to collective and integrated information from various public biological resources for human, mouse, rat, fly and c. elegans genes. The resource includes information about the genes that are represented in Unigene clusters. This resource provides interactive tools to selectively view, analyze and interpret gene expression patterns against the background of gene and protein functional information. Different query options are provided to mine the biological relationships represented in the underlying database. Search button will take you to the list of query tools available. This Bio resource is a platform designed as an online resource to assist researchers in analyzing results of microarray experiments and developing a biological interpretation of the results. This site is mainly to interpret the unique gene expression patterns found as biological changes that can lead to new diagnostic procedures and drug targets. This interactive site allows users to selectively view a variety of information about gene functions that is stored in an underlying database. Although there are other online resources that provide a comprehensive annotation and summary of genes, this resource differs from these by further enabling researchers to mine biological relationships amongst the genes captured in the database using new query tools. Thus providing a unique way of interpreting the microarray data results based on the knowledge provided for the cellular roles of genes and proteins. A total of six different query tools are provided and each offer different search features, analysis options and different forms of display and visualization of data. The data is collected in relational database from public resources: Unigene, Locus link, OMIM, NCBI dbEST, protein domains from NCBI CDD, Gene Ontology, Pathways (Kegg, Genmapp and Biocarta) and BIND (Protein interactions). Data is dynamically collected and compiled twice a week from public databases. Search options offer capability to organize and cluster genes based on their Interactions in biological pathways, their association with Gene Ontology terms, Tissue/organ specific expression or any other user-chosen functional grouping of genes. A color coding scheme is used to highlight differential gene expression patterns against a background of gene functional information. Concept hierarchies (Anatomy and Diseases) of MESH (Medical Subject Heading) terms are used to organize and display the data related to Tissue specific expression and Diseases. Sponsors: BioRag database is maintained by the Bioinformatics group at Arizona Cancer Center. The material presented here is compiled from different public databases. BioRag is hosted by the Biotechnology Computing Facility of the University of Arizona. 2002,2003 University of Arizona.

Proper citation: Bio Resource for Array Genes Database (RRID:SCR_000748) Copy   

•   Source: SciCrunch Registry

http://www.molecularconnections.com/home/en/home/products/netPro

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Comprehensive database of Protein-Protein and Protein-Small molecules interaction, consisting of more than 320,000 interactions captured from more than 1500 abstracts, approximately 1600 published journals and more than 60,000 references. The strength of NetPro lies in the complete manual curation of literature. It covers several entities other than proteins as interacting partners, like RNA, DNA, processes, etc. with well defined, exhaustive interaction terms. NetPro has received several accolades for the quality and quantity of data it contains. It has become an important resource for target identification, validation and pathway research and has subscribers from all over the globe including 3 of the top 5 pharmas.

Proper citation: Molecular Connections NetPro (RRID:SCR_000395) Copy   

•   Source: SciCrunch Registry

http://psychiatry.igm.jhmi.edu/SynaptomeDB/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Ontology-based knowledgebase for synaptic genes. These genes encode components of the synapse including neurotransmitters and their receptors, adhesion / cytoskeletal proteins, scaffold proteins, transporters, and others. It integrates various and complex data sources for synaptic genes and proteins., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SynaptomeDB (RRID:SCR_000157) Copy   

•   Source: SciCrunch Registry

http://www.bindingdb.org

Web accessible database of data extracted from scientific literature, focusing on proteins that are drug-targets or candidate drug-targets and for which structural data are present in Protein Data Bank . Website supports query types including searches by chemical structure, substructure and similarity, protein sequence, ligand and protein names, affinity ranges and molecular weight . Data sets generated by BindingDB queries can be downloaded in form of annotated SDfiles for further analysis, or used as basis for virtual screening of compound database uploaded by user. Data are linked to structural data in PDB via PDB IDs and chemical and sequence searches, and to literature in PubMed via PubMed IDs .

Proper citation: BindingDB (RRID:SCR_000390) Copy   

•   Source: SciCrunch Registry

http://webclu.bio.wzw.tum.de/dima/

DIMA, the Domain Interaction Map, aims at becoming a comprehensive resource for functional and physical interactions among conserved protein-domains. The scope of the resource comprises both experimental data and computational predictions. Several methods and datasets have been integrated, already and inclusion of others is under way.

Proper citation: Domain Interaction MAp (RRID:SCR_000731) Copy   

•   Source: SciCrunch Registry

http://text0.mib.man.ac.uk/software/mldic/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9, 2022. System that retrieves relevant UniProt IDs from BioThesaurus entries using a soft string matching algorithm.

Proper citation: Smart Dictionary Lookup (RRID:SCR_000568) Copy   

•   Source: SciCrunch Registry

http://aclame.ulb.ac.be/

A database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons. In addition to provide information on the full genomes and genetic entities, it aims at building a comprehensive classification of the functional modules of MGE's at the protein, gene, and higher levels. Prophinder, a tool dedicated to the detection of prophages in sequenced bacterial genomes, is available on ACLAME.

Proper citation: A Classification of Mobile genetic Elements (RRID:SCR_001694) Copy   

•   Source: SciCrunch Registry