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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Network-based Prediction of Human Tissue-specific Metabolism Resource Report Resource Website 1+ mentions |
Network-based Prediction of Human Tissue-specific Metabolism (RRID:SCR_007392) | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Network visualizations in which the expression and predicted flux data are projected over the global human network. These network visualizations are accessible through the supplemental website using the publicly available Cytoscape software (Cline, Smoot et al. 2007). Since many high degree nodes exist in the network, special layouts are required to produce network visualizations that are readily interpretable. To this end we produced network visualizations in which hub nodes are repeated multiple times and hence layouts with a small number of edge crossings can be generated. Contains entries for brain compartments and brain pathways. | molecular neuroanatomy resource, brain, pathway, tissue-specific metabolism, human, network-based prediction, cytoscape 2.5, tissue-specific metabolic behavior, network visualization, high degree nodes, hub nodes, currency metabolites, cellular-compartments, cellular compartment, metabolite, cytoplasm, extracellular, lysosome, mitochondrion, nucleus, endoplasmic, peroxisome, metabolic flux |
is related to: Cytoscape has parent organization: Tel Aviv University; Ramat Aviv; Israel |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00431 | SCR_007392 | Network-based Prediction of Human Tissue-specific Metabolism | 2026-02-11 10:57:34 | 1 | ||||||||
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National Institutes of Health Stem Cell Tables Resource Report Resource Website |
National Institutes of Health Stem Cell Tables (RRID:SCR_008359) | NIH Stem Cells | data or information resource, data set | Data tables providing an overview of information about stem cells that have been derived from mice and humans. The tables summarize published research that characterizes cells that are capable of developing into cells of multiple germ layers (i.e., multipotent or pluripotent) or that can generate the differentiated cell types of another tissue (i.e., plasticity) such as a bone marrow cell becoming a neuronal cell. The tables do not include information about cells considered progenitor or precursor cells or those that can proliferate without the demonstrated ability to generate cell types of other tissues. The tables list the tissue from which the cells were derived, the types of cells that developed, the conditions under which differentiation occurred, the methods by which the cells were characterized, and the primary references for the information. | ectoderm, endoderm, adipocyte, astrocyte, bone marrow, brain, cardiac, chondrocyte, differentiation, germ layer, hematopoietic stem cell, human, liver, mesenchymal stem cell, mesoderm, mouse, muscle, neuron, neuronal, osteoblast, pancreas, plasticity, platelet, red blood cell, skeletal, skin, spinal cord, neural stem cell, tenocyte, tissue, white blood cell, stem cell, multipotent stem cell, pluripotent stem cell, embryonic stem cell, embryonic primordial germ cell, primordial germ cell, neural progenitor cell, mesenchymal progenitor cell | has parent organization: National Institutes of Health | NIH | nif-0000-25459 | http://stemcells.nih.gov/info/scireport/appendixD.asp | SCR_008359 | 2026-02-11 10:57:48 | 0 | |||||||
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Biospecimen Repository Access and Data Sharing Resource Report Resource Website |
Biospecimen Repository Access and Data Sharing (RRID:SCR_017383) | BRADS | data or information resource, database | Access to data from the Division of Intramural Population Health Research (DIPHR) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) from completed studies, including biospecimens and ancillary data. | child, health, human, development, dataset | NICHD | Restricted | https://brads.nichd.nih.gov/AccessRequest/AccessRequest/ | SCR_017383 | , BRADS, Biospecimen Repository Access and Data Sharing | 2026-02-11 10:59:37 | 0 | |||||||
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The 10000 Immunomes Resource Report Resource Website 1+ mentions |
The 10000 Immunomes (RRID:SCR_016624) | 10KIP | data or information resource, database | Collection of reference datasets for human immunology, derived from control subjects in the NIAID ImmPort database . Available data include flow cytometry, CyTOF, multiplex ELISA, gene expression, HAI titers, clinical lab tests, HLA type, and others. | collection, reference, dataset, human, immunology, control, subject, NIAID, ImmPort, database |
is related to: The Immunology Database and Analysis Portal (ImmPort) is related to: NIAID |
NIAID HHSN272201200028C | PMID:30304689 | Public, Free, Available for download, Freely available | SCR_016624 | 10K Immunomes Project, 000 Immunomes Project, 000 Immunomes, 10 | 2026-02-11 10:59:33 | 1 | ||||||
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Transcriptional Regulatory Relationships Unrevealed by Sentence based Text mining database Resource Report Resource Website 100+ mentions |
Transcriptional Regulatory Relationships Unrevealed by Sentence based Text mining database (RRID:SCR_022554) | TRRUST | data or information resource, database | TRUSST is reference database of human transcriptional regulatory interactions.TRRUST v2 is manually curated expanded reference database of human and mouse transcriptional regulatory interactions. | human and mouse transcriptional regulatory interactions, regulatory networks, transcriptional regulatory networks, human, mouse | National Research Foundation of Korea ; Brain Korea 21 PLUS program |
PMID:26066708 DOI:10.1093/nar/gkx1013 |
Restricted | https://www.grnpedia.org/trrust/v1/ | SCR_022554 | TRRUST database, TRRUSTv2 | 2026-02-11 11:00:24 | 140 | ||||||
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Basic Research Immersion Training Experience Veterinary Student Program Resource Report Resource Website 1+ mentions |
Basic Research Immersion Training Experience Veterinary Student Program (RRID:SCR_008305) | training resource, postdoctoral program resource | The BRITE Veterinary Student Program provides DVM students interested in research with a subsidized, in-depth mentored research experience. The opportunity can be used to gain research experience, to obtain an MS, or to jump-start a DVM/PhD program. The BRITE veterinary student program is designed to expose DVM students to hypothesis-driven research activities, methodologies involved in design and execution of laboratory experiments and ethical issues pertinent to biomedical research, at a formative stage of their veterinary education. BRITE veterinary students are given a unique opportunity to utilize the rigorous didactic basic science training obtained during the first two years of the professional curriculum in pursuit of a research problem relevant to human and animal health. Sponsors: The program is funded by Kansas State University. | animal, health, human, mentor, program, research, science, student, veterinary | has parent organization: Kansas State University; Kansas; USA | nif-0000-24384 | http://www.vet.ksu.edu/depts/ap/brite/, http://www.vet.k-state.edu/research/brite/ | SCR_008305 | BRITE | 2026-02-11 10:57:49 | 5 | ||||||||
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Comparative Biomedical Sciences Graduate Program Resource Report Resource Website 1+ mentions |
Comparative Biomedical Sciences Graduate Program (RRID:SCR_008304) | training resource, postdoctoral program resource | The Comparative Biomedical Sciences Graduate Degree program provides exceptional graduate research training in core areas of animal and human health including genomics, immunology, molecular and cellular biology, physiology, infectious disease, neuroscience, pharmacology and toxicology, and oncology. Seventy-five faculty members in a diverse number of UW departments including Bacteriology, Biochemistry, Medical Microbiology and Immunology, Medicine, Oncology, Pathology, Radiology in addition to the 4 departments of the School of Veterinary Medicine are trainers in the program. These internationally recognized professors, as well as the integrative nature of our program, provide outstanding and unique research opportunities for our students. Because the University of Wisconsin is consistently ranked as one of the best 10 graduate institutions in the nation, the strength of our program is not only due to the superb research and teaching of our faculty but also due to the University as a whole. Approximately 55 students, most of whom are Ph.D. candidates, are currently enrolled in the program. Research strategies and academic curricula are tailored to the specific needs of each individual student. Graduates from our program are highly successful in the biotechnology industry and at top-ranked research institutions in the U.S. and abroad. The Comparative Biomedical Sciences Graduate Program offers a diverse number of research opportunities in multiple fields of study. A brief description of some of the major areas of research being performed by faculty affiliated with the Comparative Biomedical Sciences Graduate Program is provided below. Use the pull down menu above or click on the heading to find faculty members doing research in these areas. Sponsors: CBMS is supported by the University of Wisconsin | animal, biology, biomedical, cellular, comparative, disease, genomic, health, human, immunology, infectious, medicine, microbiology, molecular, neuroscience, oncology, pharmacology, physiology, radiology, science, toxicology | has parent organization: University of Wisconsin-Madison; Wisconsin; USA | nif-0000-24383 | http://www.vetmed.wisc.edu/pbs/gradprogram/index.shtml | SCR_008304 | CBMS | 2026-02-11 10:57:59 | 2 | ||||||||
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Material Safety Data Sheets for Infectious Substances of Canada Resource Report Resource Website |
Material Safety Data Sheets for Infectious Substances of Canada (RRID:SCR_013003) | MSDS Canada | data or information resource, database | Material Safety Data Sheets for chemical products are available to laboratory workers for most chemicals and reagents. However because many laboratory workers, whether in research, public health, teaching, etc., are exposed to not only chemicals but infectious substances as well, there was a large gap in the readily available safety literature for employees. These MSDS are produced for personnel working in the life sciences as quick safety reference material relating to infectious micro-organisms. The MSDS are organized to contain health hazard information such as infectious dose, viability (including decontamination), medical information, laboratory hazard, recommended precautions, handling information and spill procedures. The intent of these documents is to provide a safety resource for laboratory personnel working with these infectious substances. Because these workers are usually working in a scientific setting and are potentially exposed to much higher concentrations of these human pathogens than the general public, the terminology in these MSDS is technical and detailed, containing information that is relevant specifically to the laboratory setting. It is hoped along with good laboratory practices, these MSDS will help provide a safer, healthier environment for everyone working with infectious substances. The MSDS is ran by the Public Health Agency of Canada. The Public Health Agency of Canada (PHAC) is the main Government of Canada agency responsible for public health in Canada. PHACs primary goal is to strengthen Canadas capacity to protect and improve the health of Canadians and to help reduce pressures on the health-care system. To do this, the Agency is working to build an effective public health system that enables Canadians to achieve better health and well-being in their daily lives by promoting good health, helping prevent and control chronic diseases and injury, and protecting Canadians from infectious diseases and other threats to their health. PHAC is also committed to reducing health disparities between the most advantaged and disadvantaged Canadians. Because public health is a shared responsibility, the Public Health Agency of Canada works in close collaboration with all levels of government (provincial, territorial and municipal) to build on each others skills and strengths. The Agency also works closely with non-government organizations, including civil society and business, and other countries and international organizations like the World Health Organization (WHO) to share knowledge, expertise and experiences. | chemical, chronic, decontamination, disease, dose, hazardous, health, health-care, human, infectious, injury, laboratory, life science, material, material safety data sheet, medical, micro-organism, msds, pathogen, research, safety, substance, toxicology databases, viability | nif-0000-21275 | SCR_013003 | 2026-02-11 10:58:40 | 0 | ||||||||||
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DEG - Database of Essential Genes Resource Report Resource Website 50+ mentions |
DEG - Database of Essential Genes (RRID:SCR_012929) | DEG | data or information resource, database | THIS RESOURCE IS NO LONGER IN SEVICE. Documented on August 19,2019.It hosts records of currently available essential genes among a wide range of organisms. For prokaryotes, DEG contains essential genes in more than 10 bacteria, such as E. coli, B. subtilis, H. pylori, S. pneumoniae, M. genitalium and H. influenzae, whereas for eukaryotes, DEG contains those in yeast, humans, mice, worms, fruit flies, zebra fish and the plant A. thaliana. Users can Blast query sequences against DEG, and can also search for essential genes by their functions and names. Essential gene products comprise excellent targets for antibacterial drugs. Essential genes in a bacterium constitute a minimal genome, forming a set of functional modules, which play key roles in the emerging field, synthetic biology. | e. coli, essential gene, eukaryote essential gene, fruit fly, a. thaliana, b. subtilis, h. influenzae, h. pylori, human, m. genitalium, mice, prokaryote essential gene, s. pneumoniae, worm, yeast, zebra fish, FASEB list | has parent organization: Tianjin University; Tianjin; China | THIS RESOURCE IS NO LONGER IN SEVICE. | nif-0000-02745 | SCR_012929 | Database of Essential Genes | 2026-02-11 10:58:46 | 61 | |||||||
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PhenomicDB Resource Report Resource Website 10+ mentions |
PhenomicDB (RRID:SCR_013051) | PhenomicDB | data or information resource, database | PhenomicDB is a multi-organism phenotype-genotype database including human, mouse, fruit fly, C.elegans, and other model organisms. The inclusion of gene indices (NCBI Gene) and orthologs (same gene in different organisms) from HomoloGene allows to compare phenotypes of a given gene over many organisms simultaneously. PhenomicDB contains data from publicly available primary databases: FlyBase, Flyrnai.org, WormBase, Phenobank, CYGD, MatDB, OMIM, MGI, ZFIN, SGD, DictyBase, NCBI Gene, and HomoloGene. We brought this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indexes (NCBI Gene), and by the use of associated orthology relationships (HomoloGene). PhenomicDB is thought as a first step towards comparative phenomics and will improve the understanding of the gene functions by combining the knowledge about phenotypes from several organisms. It is not intended to compete with the much more dedicated primary source databases but tries to compensate its partial loss of depth by linking back to the primary sources. The basic functional concept of PhenomicDB is an integrated meta-search-engine for phenotypes. Users should be aware that comparison of genotypes or even phenotypes between organisms as different as yeast and man can have serious scientific hurdles. Nevertheless finding that the phenotype of a given mouse gene is described as ��similar to psoriasis�� and at the same time that the human ortholog has been described as a gene causing skin defects can lead to novelty and interesting hypotheses. Similarly, a gene involved in cancer in mammalian organisms could show a proliferation phenotype in a lower organism such as yeast and thus, give further insights to a researcher. | phenotype, human, mouse, drosophila, caenorhabditis elegans, dictyostelium discoideum, yeast, zebrafish | PMID:20562418 | nif-0000-03274 | SCR_013051 | 2026-02-11 10:58:40 | 10 | |||||||||
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Tree families database Resource Report Resource Website 50+ mentions |
Tree families database (RRID:SCR_013401) | data or information resource, database | A database of phylogenetic trees of animal genes. It aims at developing a curated resource that gives reliable information about ortholog and paralog assignments, and evolutionary history of various gene families. TreeFam defines a gene family as a group of genes that evolved after the speciation of single-metazoan animals. It also tries to include outgroup genes like yeast (S. cerevisiae and S. pombe) and plant (A. thaliana) to reveal these distant members.TreeFam is also an ortholog database. Unlike other pairwise alignment based ones, TreeFam infers orthologs by means of gene trees. It fits a gene tree into the universal species tree and finds historical duplications, speciations and losses events. TreeFam uses this information to evaluate tree building, guide manual curation, and infer complex ortholog and paralog relations.The basic elements of TreeFam are gene families that can be divided into two parts: TreeFam-A and TreeFam-B families. TreeFam-B families are automatically created. They might contain errors given complex phylogenies. TreeFam-A families are manually curated from TreeFam-B ones. Family names and node names are assigned at the same time. The ultimate goal of TreeFam is to present a curated resource for all the families. phylogenetic tree, animal, vertebrate, invertebrate, gene, ortholog, paralog, evolutionary history, gene families, single-metazoan animals, outgroup genes like yeast (S. cerevisiae and S. pombe), plant (A. thaliana), historical duplications, speciations, losses, Human, Genome, comparative genomics | evolutionary history, gene, gene families, genome, animal, comparative genomics, historical duplications, human, invertebrate, losses, ortholog, outgroup genes like yeast (s. cerevisiae and s. pombe), paralog, phylogenetic tree, plant (a. thaliana), single-metazoan animals, speciations, vertebrate, FASEB list |
is related to: FlyMine has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
nif-0000-03588 | SCR_013401 | Tree families database, TreeFam | 2026-02-11 10:58:44 | 85 | |||||||||
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Fugu Genome Project Resource Report Resource Website 10+ mentions |
Fugu Genome Project (RRID:SCR_013014) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE,documented on August 16, 2019. Fugu genome is among the smallest vertebrate genomes and has proved to be a valuable reference genome for identifying genes and other functional elements such as regulatory elements in the human and other vertebrate genomes, and for understanding the structure and evolution of vertebrate genomes. This site presents version 4 of the Fugu genome, released in October 2004 by the International Fugu Genome Consortium. Fugu rubripes has a very compact genome, with less than 15 consisting of dispersed repetitive sequence, which makes it ideal for gene discovery. A draft sequence of the fugu genome was determined by the International Fugu Genome Consortium in 2002 using the ''whole-genome shotgun'' sequencing strategy. Fugu is the second vertebrate genome to be sequenced, the first being the human genome. This webpage presents the annotation made on the fourth assembly by the IMCB team using the Ensembl annotation pipeline. We are continuing with the gap filling work and linking of the scaffolds to obtain super-contigs. | element, evolution, fish, fugu, functional, gene, genome, human, pufferfish, regulatory, rubripes, structure, vertebrate, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Institute of Molecular and Cell Biology; Singapore; Singapore |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:fugu-sg, nif-0000-20988 | https://bio.tools/fugu-sg | SCR_013014 | FGP | 2026-02-11 10:58:47 | 22 | |||||||
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Human Genome Segmental Duplication Database Resource Report Resource Website 1+ mentions |
Human Genome Segmental Duplication Database (RRID:SCR_007728) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It contains information about segmental duplications in the human genome. The criteria used to identify regions of segmental duplication are: Sequence identity of at least 90, Sequence length of at least 5 kb, Not be entirely composed of repetitive elements. Background Previous studies have suggested that recent segmental duplications, which are often involved in chromosome rearrangements underlying genomic disease, account for some 5 of the human genome. We have developed rapid computational heuristics based on BLAST analysis to detect segmental duplications, as well as regions containing potential sequence misassignments in the human genome assemblies. Results Our analysis of the June 2002 public human genome assembly revealed that 107.4 of 3,043.1 megabases (Mb) (3.53) of sequence contained segmental duplications, each with size equal or more than 5 kb and 90 identity. We have also detected that 38.9 Mb (1.28) of sequence within this assembly is likely to be involved in sequence misassignment errors. Furthermore, we have identified a significant subset (199,965 of 2,327,473 or 8.6) of single-nucleotide polymorphisms (SNPs) in the public databases that are not true SNPs but are potential paralogous sequence variants. Conclusion Using two distinct computational approaches, we have identified most of the sequences in the human genome that have undergone recent segmental duplications. Near-identical segmental duplications present a major challenge to the completion of the human genome sequence. Potential sequence misassignments detected in this study would require additional efforts to resolve. The segmental duplication data and summary statistics are available for download. Data for Human Genome (based on the May 2004 Human Genome Assembly (hg17)) Visualize duplication relationships in GBrowse (GBrowse) Duplicon Pair relationships (GFF) Genes within duplication regions (HTML) Genome duplication content (MS Excel) The segmental duplication data can be visualized in a genome browser in the GBrowse section. Selected human genome annotation tracks (except the segmental duplication track) have also been obtained from UCSC and loaded into the genome browser. Detailed information (e.g. overlapping genes, overlapping clones, detailed alignment) can be obtained by clicking on a duplication cluster in GBrowse. Both keyword search and BLAT search are available. Analyses based on previous human genome assemblies can be found in the Previous Analyses section. Acknowledgments We thank The Centre for Applied Genomics at the Hospital for Sick Children (HSC) as well as collaborators worldwide. Supported by Genome Canada the Howard Hughes Medical Institute International Scholar Program (to S.W.S.) and the HSC Foundation. | genes, genome, chromosome, dna, human, segmental duplication | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02993 | SCR_007728 | Human Genome Segmental Duplication Database | 2026-02-11 10:57:45 | 2 | |||||||||
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SYSTERS Resource Report Resource Website 1+ mentions |
SYSTERS (RRID:SCR_007955) | data or information resource, database | SYSTERS is a database of protein sequences grouped into homologous families and superfamilies. The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes. Gene, Human, Vertebrate, Genome, Human ORFs | family, gene, genome, human, human orfs, protein, superfamily, vertebrate | has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany | nif-0000-03528 | SCR_007955 | SYSTERS | 2026-02-11 10:57:43 | 7 | |||||||||
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Intergrated Transcription Factor Platform Resource Report Resource Website 10+ mentions |
Intergrated Transcription Factor Platform (RRID:SCR_008119) | data or information resource, database | ITFP is an integrated transcription factor (TF) platform, which included abundant TFs and targets message of mammalian. Support vector machine (SVM) algorithm combined with error-correcting output coding (ECOC) algorithm was utilized to identify and classify transcription factor from protein sequence of Human, Mouse and Rat. For transcription factor targets, a reverse engineering method named ARACNE was used to derive potential interaction pairs between transcription factor and downstream regulated gene from Human, Mouse and Rat gene expression profile data. Detailed information of gene expression profile data can be found in help page. Moreover, all data provided by the platform is free for non-commercial users and can be downloaded through links on help page. | expression, gene, human, message, mouse, protein, rat, sequence, target, transcription factor | has parent organization: Fudan University; Shanghai; China | nif-0000-20862 | SCR_008119 | ITFP | 2026-02-11 10:57:55 | 25 | |||||||||
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International Toxicity Estimates for Risk Resource Report Resource Website |
International Toxicity Estimates for Risk (RRID:SCR_008196) | ITER | data or information resource, database | ITER is a toxicology data file on the National Library of Medicine''s (NLM) Toxicology Data Network. It contains data in support of human health risk assessments. It is compiled by Toxicology Excellence for Risk Assessment (TERA) and contains over 600 chemical records with key data from the Agency for Toxic Substances & Disease Registry (ATSDR), Health Canada, National Institute of Public Health & the Environment (RIVM) - The Netherlands, U.S. Environmental Protection Agency (EPA), and independent parties whose risk values have undergone peer review. ITER provides a comparison of international risk assessment information in a side-by-side format and explains differences in risk values derived by different organizations. ITER data, focusing on hazard identification and dose-response assessment, is extracted from each agencys assessment and contains links to the source documentation. Among the key data provided in ITER are ATSDRs minimal risk levels; Health Canadas tolerable intakes/concentrations and tumorigenic doses/concentrations; EPAs carcinogen classifications, unit risks, slope factors, oral reference doses, and inhalation reference concentrations; RIVMs maximum permissible risk levels; NSF International''s reference doses and carcinogen risk levels, IARC''s cancer classifications, and noncancer and/or cancer risk values (that have undergone peer review) derived by independent parties. Users can search by chemical or other name, chemical name fragment, or Chemical Abstracts Service Registry Number(RN), and/or subject terms. Search results can easily be viewed, printed or downloaded. Search results are displayed in relevancy ranked order. Users may select to display exact term matches, complete records, or any combination of data from the following broad groupings: -Noncancer Oral -Cancer Oral -Noncancer Inhalation -Cancer Inhalation | environment, fragment, assessment, cancer, carcinogen, chemical, classification, concentration, disease, dose, health, human, inhalation, intake, medicine, noncancer, oral, public health, risk, slope, substance, toxic, toxicology, toxicology databases, tumorigenic, unit risk | has parent organization: National Library of Medicine | nif-0000-21225, r3d100011532 | https://doi.org/10.17616/R3GW50 https://doi.org/10.17616/R3GW50 |
SCR_008196 | 2026-02-11 10:57:47 | 0 | ||||||||
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MIPS Mammalian Protein-Protein Interaction Database Resource Report Resource Website 1+ mentions |
MIPS Mammalian Protein-Protein Interaction Database (RRID:SCR_008207) | MIPS, MPPI | data or information resource, database | The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research. | experimental, human, interaction, intermolecular interactions and signaling pathways databases, mammal, mammalian, pathway, physical, protein |
is related to: Interaction Reference Index is related to: ConsensusPathDB |
nif-0000-21265 | SCR_008207 | The MIPS Mammalian Protein-Protein Interaction Database | 2026-02-11 10:57:57 | 7 | ||||||||
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AltSplice Database of Alternative Spliced Events Resource Report Resource Website 1+ mentions |
AltSplice Database of Alternative Spliced Events (RRID:SCR_008162) | data or information resource, database | AltSplice is a computer generated high quality data set of human transcript-confirmed splice patterns, alternative splice events, and the associated annotations. This data is being integrated with other data that is generated by other members of the ASD consortium. The ASD project will provide the following in its three year duration: -human curated database of alternative spliced genes and their properties -a computer generated database of alternatively spliced genes and their properties -the integration of the above and newly found knowledge in a user-friendly interface and research workbench for both bioinformaticists and biologists -DNA chips that are based on the data in the above databases -the DNA chips will be used to test against predisposition for and diagnoses of human diseases ASD aims to analyse this mechanism on a genome-wide scale by creating a database that contains all alternatively spliced exons from human, and other model species. Disease causing mutations seem to induce aberrations in the process of splicing and its regulation. The ASD consortium will develop a DNA microarray (chip) that contains cDNAs of all the splicing regulatory proteins and their isoforms, as well as a chip that contains a number of disease relevant genes. We will concentrate on three models of disease (breast cancer, FTDP-17, male infertility) in which a connection between mis-splicing and a pathological state has been observed. Finally, these chips will be developed as demonstrative kits to detect predisposition for and diagnosis of such diseases. Categories: Nucleotide Sequences: Gene Structure, Introns and Exons, & Splice Sites Databases | event, exon, gene, alternative, annotation, bioinformatic, biology, breast cancer, cdna, chip, diagnosis, disease, dna, human, infertility, intron, isoform, male, microarray, mis-splicing, model, nucleotide, pathological, pattern, property, protein, regulatory, splice, splicing, structure, transcript | has parent organization: European Molecular Biology Laboratory | nif-0000-21021 | SCR_008162 | AltSplice Database of Alternative Spliced Events | 2026-02-11 10:57:46 | 3 | |||||||||
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AGRICOLA Resource Report Resource Website 50+ mentions |
AGRICOLA (RRID:SCR_008158) | AGRICOLA, AGRICOLA NAL, AGRICOLA IND | data or information resource, database | A database, catalog and index to the collections of the National Agricultural Library, as well as a primary public source for world-wide access to agricultural information. This database resource covers materials in all formats and periods, including printed works from as far back as the 15th century. AGRICOLA is a bibliographic database of citations to the agricultural literature created by the National Agricultural Library and its cooperators. The records describe publications and resources encompassing all aspects of agriculture and allied disciplines, including animal and veterinary sciences, entomology, plant sciences, forestry, aquaculture and fisheries, farming and farming systems, agricultural economics, extension and education, food and human nutrition, and earth and environmental sciences. Although the NAL Catalog (AGRICOLA) does not contain the text of the materials it cites, thousands of its records are linked to full-text documents online, with new links added daily. The NAL Catalog (AGRICOLA) is organized into two bibliographic data sets: *The NAL Online Public Access Catalog (AGRICOLA NAL) contains citations to books, audiovisuals, serials, and other materials, most of which are in the Library''s collection. (The Catalog does contain some records for items not held at NAL.) *The Article Citation Database (AGRICOLA IND) includes citations, many with abstracts, to journal articles (see Journals Indexed in AGRICOLA), book chapters, reports, and reprints, selected primarily from the materials found in the NAL Catalog. | earth, economic, education, entomology, environmental, extension, farming, fishery, food, forestry, agricultural, agriculture, animal, aquaculture, human, nutrition, plant, science, system farm, veterinary, book, serial, audiovisual, FASEB list | is related to: Europe PubMed Central | nif-0000-21011 | SCR_008158 | National Agricultural Library Catalog AGRICultural OnLine Access, AGRICultural OnLine Access, AGRICOLA: AGRICultural OnLine Access, NAL Catalog (AGRICOLA), National Agricultural Library Catalog (AGRICOLA), NAL Catalog AGRICultural OnLine Access, AGRICOLA NAL, AGRICOLA IND | 2026-02-11 10:57:56 | 52 | ||||||||
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Mammalian Phosphorylation Resource Resource Report Resource Website |
Mammalian Phosphorylation Resource (RRID:SCR_008210) | MPR | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/24/13. A repository of information on commercially available phospho-specific antibodies to human phosphorylation sites. It provides a BLAST search for phosphorylation sites using as query the amino acid sequence surrounding the site. It also provides direct links to the relevant antibodies from many companies including BD Pharmingen, Biosource International, Cell Signaling Technology (CST), Santa Cruz Biotechnologies, Upstate Biotechnology. | amino acid, antibody, human, mammalian, phosphorylation, protein property databases, repository, sequence, blast, data analysis resource |
is listed by: 3DVC has parent organization: Center for Cancer Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21274 | SCR_008210 | Mammalian Phosphorylation Resource | 2026-02-11 10:57:47 | 0 |
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