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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab Resource Report Resource Website |
GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab (RRID:SCR_005708) | GUMC Liu Lab | data or information resource, laboratory portal, organization portal, portal | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. | microarray, data mining, natural language processing, biomedical, ontology, biomedicine, data analysis, dna microarray, gene | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149157 | SCR_005708 | Georgetown University Medical Center Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab, Georgetown University Medical Center Liu Lab, GUMC Department of Biostatistics Bioinformatics Biomathematics - Liu Lab | 2026-09-12 12:56:30 | 0 | ||||||||
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GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | 2026-09-12 12:56:30 | 4535 | |||||
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DMRforPairs Resource Report Resource Website 1+ mentions |
DMRforPairs (RRID:SCR_005702) | software resource | Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance. | standalone software, mac os x, unix/linux, windows, r, annotation, dna methylation, differential methylation, microarray, report writing, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24884391 | GNU General Public License, v2 or greater | biotools:dmrforpairs, OMICS_04059 | https://bio.tools/dmrforpairs | SCR_005702 | DMR2+, DMRforPairs: identifying Differentially Methylated Regions between unique samples using array based methylation profiles | 2026-09-12 12:56:30 | 4 | ||||||
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Research at Cincinnati Childrens Resource Report Resource Website |
Research at Cincinnati Childrens (RRID:SCR_005703) | Research at Cincinnati Children's | data or information resource, organization portal, portal, service resource, training resource, training service resource | Foundation scientists and physicians conduct breakthrough research to improve care for children as well as train the next generation of investigators. Cincinnati Children's Research Foundation is dedicated to advancing basic, translational, clinical and outcomes-based research. Why choose our cores for your research? We can provide you with cutting-edge, cost-effective technology and data analysis that would be unattainable on an individual research basis. Our fee-for-service program also offers unique studies that you can't find anywhere else. Our faculty also has access to the research cores hosted at the University of Cincinnati College of Medicine. * Animal Behavioral Core * Cardiovascular Imaging Core * Cell Manipulations Laboratory * Cell Processing Core * Cincinnati Biobank * Cincinnati Center for Nutritional Research and Analysis * Comprehensive Mouse and Cancer Core * Gene Expression Microarray Core * Genetic Variation and Gene Discovery Core * Imaging Research Center * Laser Capture Microdissection Microscopy * Lenti-shRNA Library Core * Pathology Research Core * Pluripotent Stem Cell Facility * Research Flow Cytometry Core * Stem Cell Processing Core Lab * Transgenic and Gene Targeting Core * Translational Core Labs * Translational Trials Development and Support Laboratory (TTDSL) * Vector Production Facility * Veterinary Services * Viral Vector Core Support Services: We provide expert consultation, including grant proposal design, data management and regulatory compliance, to investigators at Cincinnati Children's. Research Education and Training: The Cincinnati Children's Research Foundation offers research-based education and training options for scientists, often in conjunction with the University of Cincinnati. High School Programs, Undergraduate Programs, Graduate Degree Programs, Medical Student Program, Postgraduate Programs, Postdoctoral Programs | pediatric, child, young human | nlx_149152 | SCR_005703 | Cincinnati Children's Research Foundation | 2026-09-12 12:56:30 | 0 | |||||||||
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University of Barcelona Statistics and Bioinformatics Research Group Resource Report Resource Website |
University of Barcelona Statistics and Bioinformatics Research Group (RRID:SCR_005704) | UB Statistics and Bioinformatics Research Group | analysis service resource, data analysis service, data or information resource, portal, production service resource, service resource, topical portal | The Statistics and Bioinformatics research group has as its main objectives the development of methods and tools to deal with problems appearing in the interface between Statistics and Bioinformatics. We started focusing in DNA microarrays but we are also interested in statistical methods for ''omics'' data integration and next generation sequencing (NGS). Our group collaborates with different research groups in the fields of biology and biomedicine, to whom it offers statistical support for problems which are specifically statistic in nature, such as experimental design or microarray data analysis, and also in more general aspects, such as modeling, analysis or data mining. After a first period of collaboration agreements with the Fundaci�� Vall d''Hebr��n Institut de Recerca we contributed to the creation of the Statistics and Bioinformatics Unit (UEB) which provides statistical and bioinformatical support to VHIR researchers. | statistics, bioinformatics, next generation sequencing, dna microarray, dna, microarray, biology, biomedicine, data mining, modeling, analysis | has parent organization: University of Barcelona; Barcelona; Spain | nlx_149154 | SCR_005704 | University of Barcelona Statistics Bioinformatics Research Group | 2026-09-12 12:56:30 | 0 | ||||||||
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University of Lorraine; Lorraine; France Resource Report Resource Website 1+ mentions |
University of Lorraine; Lorraine; France (RRID:SCR_005705) | UL | university | French public university. | is parent organization of: Suggested Ontology for Pharmacogenomics | Wikidata:Q4173330, Crossref funder ID:100008990, nlx_158101, ISNI:0000 0001 2194 6418, grid.29172.3f | https://ror.org/04vfs2w97 | SCR_005705 | Universit� de Lorraine, University of Lorraine, Universite de Lorraine | 2026-09-12 12:56:30 | 1 | ||||||||
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go-moose Resource Report Resource Website |
go-moose (RRID:SCR_005666) | go-moose | data analysis software, data processing software, software application, software resource | go-moose is intended as a replacement for the aging go-perl and go-db-perl Perl libraries. It is written using the object oriented Moose libraries. It can be used for performing a number of analyses on GO data, including the remapping of GO annotations to a selected subset of GO terms. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, slimmer-type tool, analysis, gene ontology, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: go-perl is related to: go-db-perl has parent organization: SourceForge has parent organization: Berkeley Bioinformatics Open-Source Projects has parent organization: Lawrence Berkeley National Laboratory |
Free for academic use | nlx_149189 | SCR_005666 | 2026-09-12 12:56:29 | 0 | ||||||||
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MolGen Resource Report Resource Website 10+ mentions |
MolGen (RRID:SCR_005700) | MolGen | data or information resource, portal, topical portal | The research of the group concentrates on the molecular biology of Gram-positive bacteria, with Bacillus subtilis and Lactococcus lactis as the main model organisms. A number of important (human) pathogens are also investigated: Bacillus cereus, Streptococcus pneumoniae and Enterococcus faecalis. The nature of the research is both fundamental and application-oriented. Transcript- and protein profiling by high-throughput technologies such as DNA microarrays and proteomics tools are being used. The very large data sets generated are analyzed by employing existing and novel bioinformatics tools. Major lines of research are in the field of functional genomics of these organisms, using systems- and synthetic biology approaches. | molecular biology, gram-positive bacteria, pathogen, transcript, protein, profile, high-throughput, dna microarray, proteomics, dna, microarray, functional genomics, bioinformatics, genetics, gene |
has parent organization: University of Groningen; Groningen; Netherlands is parent organization of: FIVA - Functional Information Viewer and Analyzer |
nlx_149166 | http://molgen.biol.rug.nl/molgen/index.php | SCR_005700 | Molecular Genetics | 2026-09-12 12:56:30 | 28 | |||||||
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KI Biobank Resource Report Resource Website |
KI Biobank (RRID:SCR_005664) | KI Biobank - Gallstone | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. KI Biobank - Gallstone aims at investigating genetics of gallstone disease on Swedish Twins. Types of samples * EDTA whole blood * DNA * Plasma Number of sample donors: 82 | gene, genetics |
is listed by: One Mind Biospecimen Bank Listing is related to: Swedish Twin Registry has parent organization: Karolisnka Biobank |
Gallstone disease, Twin | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151297, nlx_151300, SCR_005796 | https://www.researchgate.net/publication/246710484_Gallstone_disease_in_Swedish_twins_is_linked_to_ABCG8_D19H_risk_genotype | SCR_005664 | KI Biobank - Gallstone, KI Biobank - KTS | 2026-09-12 12:56:29 | 0 | |||||
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NIDA Podcasts Resource Report Resource Website |
NIDA Podcasts (RRID:SCR_005660) | NIDA Podcasts | data or information resource, narrative resource, podcast | Audio clips that highlight research efforts at the National Institute on Drug Abuse and include interviews with prominent NIDA scientists. To listen to these clips, just click Listen Now under the clip summary. You must have Real Media Player or Windows Media Player installed to download these clips. To view a printable transcript of a clip, click View Transcript under the clip summary. | drug abuse, transcript | has parent organization: National Institute on Drug Abuse | NIDA | All of these clips are free from copyright and can be used for broadcast or other use with acknowledgement of the National Institute on Drug Abuse. | nlx_149377 | SCR_005660 | 2026-09-12 12:56:29 | 0 | |||||||
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Stanford Center for Biomedical Informatics Research Resource Report Resource Website |
Stanford Center for Biomedical Informatics Research (RRID:SCR_005698) | BMIR | data or information resource, laboratory portal, organization portal, portal | Mark Musen''s laboratory studies components for building knowledge-based systems, controlled terminologies and ontologies, and technology for the Semantic Web. For more than two decades, Musen''s group has worked to elucidate reusable building blocks of intelligent systems, and to develop scalable computational architectures for systems with significant applications in biomedicine. Informatics is the study of information: its structure, its communication, and its use. As society becomes increasingly information intensive, the need to understand, create, and apply new methods for modeling, managing, and acquiring information has never been greater especially in biomedicine. BMIR is home to world class scientists and trainees developing cutting-edge ways to acquire, represent, process, and manage knowledge and data related to health, health care, and the biomedical sciences. Our faculty, students, and staff are committed to ensuring the biomedical community is properly equipped for the information age, and believe our efforts will provide the structure for the burgeoning revolution of health care and the biomedical sciences. | biomedicine, informatics |
has parent organization: Stanford University; Stanford; California is parent organization of: CLENCH is parent organization of: BioPortal is parent organization of: Center for Expanded Data Annotation and Retrieval is parent organization of: Protege is parent organization of: WebProtege |
nlx_149147 | SCR_005698 | Stanford Medical Informatics | 2026-09-12 12:56:30 | 0 | ||||||||
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Science of Mental Illness: Grades 6- 8 Resource Report Resource Website |
Science of Mental Illness: Grades 6- 8 (RRID:SCR_005612) | data or information resource, narrative resource, training material, video resource | A set of lessons for students used to gain insight into the biological basis of mental illnesses and how scientific evidence and research can help us understand its causes and lead to treatments and, ultimately, cures. Both the Web version and the free supplement are available. It is a creative, inquiry-based instruction program designed to promote active learning and stimulate student interest in medical topics. This curriculum supplement aims to help students experience the process of scientific inquiry and develop an enhanced understanding of the nature and methods of science. | mental disease, treatment, human, curriculum, student, adolescent, teacher, teacher's guide, lesson plan, k-12, training resource | has parent organization: NIMH Educational Resources | National Institute of Mental Health | nlx_146230 | http://science.education.nih.gov/customers.nsf/MSMental | SCR_005612 | Science of Mental Illness | 2026-09-12 12:56:28 | 0 | |||||||
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Virtual Biology Lab Resource Report Resource Website |
Virtual Biology Lab (RRID:SCR_005694) | Virtual Biology | data or information resource, laboratory portal, organization portal, portal, software resource | Virtual Biology Lab portal from the University of Nice Sophia Antipolis; Nice; France. Offered are a variety of software including: * GenBank2Treedyn: Extract annotations from GenBank files for: ** More convenient alignments and phylogeny (replace def line of fasta file by GI number) ** Extremely powerful annotations of phylogenetic trees with TreeDyn. * THEA: Analyses of DNA chip data with ontologies * Blast2Tree: Blast server for the identification of procaryotes * Dashboard: e-Tool for data exchanges among partners, DNA chips design and developement * Oligo Heat Map: Check thermodynamical parameters for PCR primers and compute graphical representation to show specificity of target sequences * EmblEx: A cgi tool to parse and extract data from EMBL entries to various formats * Miscellaneous software ** Jane plugin: Add a small panel to Jane server to retrieve PMID of publications ** EtBlast plugin: Add a small panel to EtBlast server to retrieve PMID of publications ** Oligo Builder: Get the oligomers from a set of target sequences by avoiding non-target sequences | biodiversity, ontology, bioinformatics, thea, ontology |
has parent organization: University of Nice Sophia Antipolis; Nice; France is parent organization of: THEA - Tools for High-throughput Experiments Analysis |
nlx_149144 | SCR_005694 | Virtual Biology Laboratory | 2026-09-12 12:56:30 | 0 | ||||||||
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BIIT - Bioinformatics Algorithmics and Data Mining Group Resource Report Resource Website 10+ mentions |
BIIT - Bioinformatics Algorithmics and Data Mining Group (RRID:SCR_005690) | BIIT Research group | data or information resource, department portal, organization portal, portal, software application, software resource, text-mining software | The Bioinformatics, Algorithmics, and Data Mining group BIIT lead by prof. Jaak Vilo is a joint research group between the Department of Computer Science (University of Tartu), Quretec, and the Estonian Biocenter. Our main research topics and capabilities include the gene regulation, gene expression data analysis, biological data mining, systems biology, combinatorial pattern matching, developing software for biomedical research databases, as well as partnering in stem cell and cancer related projects. Software * MEM - Multi-Experiment-Matrix -- large-scale gene expression data queries and mining (Genome Biology 2009) * g:Profiler family of tools for functional assessment of gene groups, gene ID mappings, orthology and expression similarity searches. (NAR web server issue 2007) * KEGGanim - visualisation of high-throughput data on biological pathway charts (Bioinformatics, 2007) * GraphWeb - a tool for mining large biological networks (NAR Web server issue 2008) * FunGenES data atlas * More software tools | gene regulation, gene expression, data analysis, biological, data mining, systems biology, combinatorial pattern matching, software, biomedical research, stem cell, cancer |
has parent organization: University of Tartu; Tartu; Estonia is parent organization of: GraphWeb is parent organization of: g:Profiler |
nlx_149141 | http://biit.cs.ut.ee/about/main | SCR_005690 | BIIT - Bioinformatics Algorithmics Data Mining Group, BIIT Group - Institute of Computer Science | 2026-09-12 12:56:30 | 10 | |||||||
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Principe Felipe Research Centre; Valencia; Spain Resource Report Resource Website 1+ mentions |
Principe Felipe Research Centre; Valencia; Spain (RRID:SCR_005691) | CIPF | institution | The Pr��ncipe Felipe Research Centre (CIPF), which was inaugurated by their Royal Highnesses the Prince and Princess of Asturias on 17th March 2005, is a centre dedicated to biomedical research, with the aim of taking on new challenges in the field of basic research and encouraging scientific works of excellence. The construction of the Centre was carried out thanks to the Regional Development Funds from the European Union, and from the Regional Government (Generalitat Valenciana) through its Ministry of Health. The current financing of the CIPF comes mainly from the investment made by the Generalitat Valenciana through the Ministry of Health, as well as the Regenerative Medicine Programme, the fruit of an agreement between the Institute of Health Carlos III and the Ministry of Health for basic and translation research in this field. The CIPF takes the research tradition from the then Valencian Cytological Research Institute and the Valencian Biomedical Research Foundation, with the aim of consolidating and expanding this research. Therefore the activity in the CIPF can be divided into three main strategic work areas: The Regenerative Medicine area focuses its research on cellular therapy and interdisciplinary research in human embryonic and adult stem cells, with the aim of regenerating damaged organs to improve human health. The Chemical and Quantative Biology area aims to understand, through the application of (bio) chemical, genetic, and bioinformatic methods, to understand the molecular mechanisms that control the biological processes and alterations that lead to pathological conditions. The Biomedicine area focuses on understanding the molecular bases of human pathologies that require new diagnostic and clinical procedures for their identification and treatment, pathologies such as cancer, neurological pathologies and rare illnesses. |
is parent organization of: QualiMap is parent organization of: VARIANT is parent organization of: CIPF Bioinformatics and Genomics Department is parent organization of: Blast2GO is parent organization of: Gene Expression Profile Analysis Suite |
nlx_149142, grid.418274.c, ISNI: 0000 0004 0399 600X | https://ror.org/05xr2yq54 | SCR_005691 | Centro de Investigaci��n Pr��ncipe Felipe, Centro de Investigacion Principe Felipe, Principe Felipe Research Center, Pr��ncipe Felipe Research Centre | 2026-09-12 12:56:30 | 2 | ||||||||
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CIPF Bioinformatics and Genomics Department Resource Report Resource Website 1+ mentions |
CIPF Bioinformatics and Genomics Department (RRID:SCR_005692) | CIPF Bioinformatics and Genomics | data or information resource, department portal, institution, organization portal, portal | Biomedicine can only be understood in the context of genomics and with the concourse of bioinformatics. Our department aims to tackle biomedical problems from a system's biology perspective. Following this, the general objective we seek through the main lines of research is to relate the mutations (Pharmacogenomics and Comparative Genomics) to their effect at cellular and phenotypic level (Functional Genomics) trying to understand the mechanism of action (Structural Genomics). Systems Biology Genes operate within an intricate network of interactions that we have only recently started to envisage. Many higher-order levels of interaction are continuously being discovered. In this scenario we are interested in developing methods and tools which can help to understand large-scale experiments from a systems biology perspective. Comparative genomics We are interested in the analysis of patterns and processes occurred during the evolution of our genome, and in the application of the evolutionary thought in human health and disease. * Adaptive Human Evolution * Evolutionary Pharmacogenetics * SNP's and Human Disease Structural genomics Our Unit aims to develop and apply computational methods for understanding the molecular mechanisms of cell regulation beyond proteins. In particular, we apply our methods to study the interaction of small chemical compounds with proteins and to characterize their molecular actions. We are also developing methods for RNA 3D structure prediction with the aim of applying them to understand the effects of non-coding RNA molecules. Finally, in collaboration with experimentalists, we are working in determining the first ever 3D structure of a genomic domain in human. | genomics, bioinformatics |
has parent organization: Principe Felipe Research Centre; Valencia; Spain is parent organization of: Babelomics |
nlx_149143 | SCR_005692 | CIPF Department of Bioinformatics, CIPF Bioinformatics Genomics | 2026-09-12 12:56:30 | 5 | ||||||||
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VAGUE Resource Report Resource Website 1+ mentions |
VAGUE (RRID:SCR_005607) | VAGUE | software resource | An open-source de novo genome assembly software tool, which is run from the Unix command line, providing a multi-platform graphical front-end for the Velvet de novo assembler. VAGUE is implemented in JRuby and targets the Java Virtual Machine. | command line, assembler |
is listed by: OMICtools has parent organization: Monash University; Melbourne; Australia |
PMID:23162059 | GNU General Public License, v2, Acknowledgement requested | OMICS_00897 | SCR_005607 | Velvet Assembler Graphical Front End | 2026-09-12 12:56:28 | 5 | ||||||
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DBD - Slim Gene Ontology Resource Report Resource Website |
DBD - Slim Gene Ontology (RRID:SCR_005728) | Slim Gene Ontology | data or information resource, database, software application, software resource | Db for Dummies! is a small database that imports the Generic GO Slim. It allows data to be viewed in a tree. The Gene Ontology describes gene products in terms of their associated biological processes, cellular components and molecular functions. The Generic Slim Gene Ontology is a subset of the whole Gene Ontology. The slim version gives a broad overview and leaves out specific/fine grained terms. This example stores the slim version of the Gene Ontology (goslim_generic_obo) that can be downloaded from www.geneontology.org/GO.slims.shtml. Platform: Windows compatible | gene ontology, gene, hierarchy, visualization, database or data warehouse |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Db for Dummies! |
Free for academic use | nlx_149185 | SCR_005728 | Db for Dummies! - Slim Gene Ontology, Db for Dummies - Slim Gene Ontology | 2026-09-12 12:56:30 | 0 | |||||||
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NIH Office of Science Education Resource Report Resource Website |
NIH Office of Science Education (RRID:SCR_005603) | OSE | data or information resource, knowledge environment, narrative resource, organization portal, portal, training material | The NIH Office of Science Education (OSE) coordinates science education activities at the NIH and develops and sponsors science education projects in house. These programs serve elementary, secondary, and college students and teachers and the public. Activities * Develop curriculum supplements and other educational materials related to medicine and research through collaborations with scientific experts at NIH * Maintain a website as a central source of information about NIH science education resources * Establish national model programs in public science education, such as the NIH Mini-Med School and Science in the Cinema * Promote science education reform as outlined in the National Science Education Standards and related guidelines The OSE was established in 1991 within the Office of Science Policy of the Office of the Director of the National Institutes of Health. The NIH is the world''s foremost biomedical research center and the U.S. federal government''s focal point for such research. It is one of the components of the Department of Health and Human Services (HHS). The Office of Science Education (OSE) plans, develops, and coordinates a comprehensive science education program to strengthen and enhance efforts of the NIH to attract young people to biomedical and behavioral science careers and to improve science literacy in both adults and children. The function of the Office is as follows: (1) develops, supports, and directs new program initiatives at all levels with special emphasis on targeting students in grades kindergarten to 16, their educators and parents, and the general public; (2) advises NIH leadership on science education issues; (3) examines and evaluates research and emerging trends in science education and literacy for policy making; (4) works closely with the NIH extramural, intramural, women''s health, laboratory animal research, and minority program offices on science education special issues and programs to ensure coordination of NIH efforts; (5) works with NIH institutes, centers, and divisions to enhance communication of science education activities; and (6) works cooperatively with other public- and private-sector organizations to develop and coordinate activities. | science, education, high school, middle school, elementary school, animal, research, bioethics, blood, lymphatic system, bones, joints, muscle, brain, nervous system, cell biology, cancer, child, adolescent, complementary medicine, alternative medicine, digestive system, ears, nose, throat, endocrine system, environmental, toxicology, evolution, eye, vision, food, nutrition, metabolism, genomics, genetics, heart, circulation, history, immune system, injury, wound, kidney, urinary system, medical research, man, mental health, behavior, microbiology, infectious disease, mouth, teeth, therapy, reproductive system, respiratory system, safety, late adult human, sexual health, skin, hair, nail, sleep, social, family, substance abuse, technology, wellness, lifestyle, woman, health, human, lesson plan, supplemental curricula, book, image, multimedia, poster, k-12, adult, non-human animal |
has parent organization: National Institutes of Health is parent organization of: NIH SciEd Blog |
NIH | nlx_146222 | SCR_005603 | NIH OSE, National Institutes of Health Office of Science Education | 2026-09-12 12:56:28 | 0 | |||||||
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SeqGSEA Resource Report Resource Website 10+ mentions |
SeqGSEA (RRID:SCR_005724) | SeqGSEA | data analysis software, data processing software, software application, software resource | Software package that provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively. | differential expression, gene expression, gene set enrichment, rna-seq, sequencing, splicing |
is listed by: OMICtools has parent organization: Bioconductor |
GNU General Public License, v3 or newer | OMICS_02251 | SCR_005724 | SeqGSEA - Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing | 2026-09-12 12:56:30 | 36 |
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