Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Human Splicing Finder Resource Report Resource Website 500+ mentions |
Human Splicing Finder (RRID:SCR_005181) | HSF | analysis service resource, service resource, data analysis service, production service resource | Software tool to help study pre-mRNA splicing and to better understand intronic and exonic mutations leading to splicing defects. To calculate the consensus values of potential splice sites and search for branch points, new algorithms were developed. Furthermore, they have integrated all available matrices to identify exonic and intronic motifs, as well as new matrices to identify hnRNP A1, Tra2-? and 9G8. | splicing, mutation, splicing signal, sequence, transcript, nucleotide, exon, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Ensembl has parent organization: National Institute of Health and Medical Research; Rennes; France |
PMID:19339519 | Acknowledgement requested | biotools:human_splicing_finder, OMICS_00176 | https://bio.tools/human_splicing_finder | http://www.umd.be/HSF/ | SCR_005181 | 2026-07-27 09:32:13 | 963 | |||||
|
ADGO Resource Report Resource Website 1+ mentions |
ADGO (RRID:SCR_006343) | ADGO | analysis service resource, service resource, data analysis service, production service resource | A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets. | microarray, gene, annotation, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:21624890 | Acknowledgement requested | OMICS_02229, biotools:adgo | https://bio.tools/adgo | SCR_006343 | 2026-07-27 09:32:31 | 3 | ||||||
|
HMM-TM Resource Report Resource Website 1+ mentions |
HMM-TM (RRID:SCR_006186) | HMM-TM | analysis service resource, service resource, data analysis service, production service resource | A web tool using the Hidden Markov Model method for the topology prediction of alpha-helical membrane proteins that incorporates experimentally derived topological information. Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such as transmembrane protein topology prediction, the incorporation of limited amount of information regarding the topology, arising from biochemical experiments, has been proved a very useful strategy that increased remarkably the performance of even the top-scoring methods. However, no clear and formal explanation of the algorithms that retains the probabilistic interpretation of the models has been presented so far in the literature. We present here, a simple method that allows incorporation of prior topological information concerning the sequences at hand, while at the same time the HMMs retain their full probabilistic interpretation in terms of conditional probabilities. We present modifications to the standard Forward and Backward algorithms of HMMs and we also show explicitly, how reliable predictions may arise by these modifications, using all the algorithms currently available for decoding HMMs. A similar procedure may be used in the training procedure, aiming at optimizing the labels of the HMM''s classes, especially in cases such as transmembrane proteins where the labels of the membrane-spanning segments are inherently misplaced. We present an application of this approach developing a method to predict the transmembrane regions of alpha-helical membrane proteins, trained on crystallographically solved data. We show that this method compares well against already established algorithms presented in the literature, and it is extremely useful in practical applications. | hidden markov model, topology, prediction, alpha-helical membrane protein, protein, transmembrane, transmembrane alpha-helical protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
PMID:16597327 | Free for academic use | nlx_151731, biotools:hmm-tm | https://bio.tools/hmm-tm | SCR_006186 | HMM-TM: Prediction of Transmembrane Alpha-Helical Proteins | 2026-07-27 09:32:29 | 6 | |||||
|
PRED-LIPO Resource Report Resource Website 10+ mentions |
PRED-LIPO (RRID:SCR_006187) | PRED-LIPO | analysis service resource, service resource, data analysis service, production service resource | A web tool using the Hidden Markov Model method for the prediction of lipoprotein signal peptides of Gram-positive bacteria, trained on a set of 67 experimentally verified lipoproteins. The method outperforms LipoP and the methods based on regular expression patterns, in various data sets containing experimentally characterized lipoproteins, secretory proteins, proteins with an N-terminal TM segment and cytoplasmic proteins. The method is also very sensitive and specific in the detection of secretory signal peptides and in terms of overall accuracy outperforms even SignalP, which is the top-scoring method for the prediction of signal peptides. | hidden markov model, lipoprotein signal peptide, gram-positive bacteria, lipoprotein, prediction, peptide, protein, signal peptide, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
National Scholarships Foundation of Greece | PMID:19367716 | Free | nlx_151732, biotools:pred-lipo | https://bio.tools/pred-lipo | SCR_006187 | PRED-LIPO: Prediction of Lipoprotein and Secretory Signal Peptides in Gram-positive Bacteria with Hidden Markov Models | 2026-07-27 09:32:29 | 17 | ||||
|
PRED-SIGNAL Resource Report Resource Website 10+ mentions |
PRED-SIGNAL (RRID:SCR_006181) | PRED-SIGNAL | analysis service resource, service resource, data analysis service, production service resource | A web tool for prediction of signal peptides in archaea. Computational prediction of signal peptides (SPs) and their cleavage sites is of great importance in computational biology; however, currently there is no available method capable of predicting reliably the SPs of archaea, due to the limited amount of experimentally verified proteins with SPs. We performed an extensive literature search in order to identify archaeal proteins having experimentally verified SP and managed to find 69 such proteins, the largest number ever reported. A detailed analysis of these sequences revealed some unique features of the SPs of archaea, such as the unique amino acid composition of the hydrophobic region with a higher than expected occurrence of isoleucine, and a cleavage site resembling more the sequences of gram-positives with almost equal amounts of alanine and valine at the position-3 before the cleavage site and a dominant alanine at position-1, followed in abundance by serine and glycine. Using these proteins as a training set, we trained a hidden Markov model method that predicts the presence of the SPs and their cleavage sites and also discriminates such proteins from cytoplasmic and transmembrane ones. | signal peptide, prediction, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
State Scholarships Foundation of Greece | PMID:18988691 | Free for academic use | biotools:pred-signal, nlx_151728 | https://bio.tools/pred-signal | SCR_006181 | PRED-SIGNAL - Prediction of Signal Peptides in Archaea with Hidden Markov Models | 2026-07-27 09:32:28 | 14 | ||||
|
FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | analysis service resource, service resource, data analysis service, production service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate, https://bio.tools/funcassociate | SCR_005768 | 2026-07-27 09:32:22 | 36 | |||||
|
WEGO - Web Gene Ontology Annotation Plot Resource Report Resource Website 100+ mentions |
WEGO - Web Gene Ontology Annotation Plot (RRID:SCR_005827) | WEGO | analysis service resource, service resource, data analysis service, production service resource | Web Gene Ontology Annotation Plot (WEGO) is a simple but useful tool for plotting Gene Ontology (GO) annotation results. Different from other commercial software for chart creating, WEGO is designed to deal with the directed acyclic graph (DAG) structure of GO to facilitate histogram creation of GO annotation results. WEGO has been widely used in many important biological research projects, such as the rice genome project and the silkworm genome project. It has become one of the useful tools for downstream gene annotation analysis, especially when performing comparative genomics tasks. Platform: Online tool | visualization, gene ontology, gene, annotation, comparative genomics, histogram, directed acyclic graph, genomics, genome, ontology or annotation visualization, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: BGI; Shenzhen; China |
Zhejiang University ; Chinese Academy of Sciences ; Danish Basic Research Foundation ; Ministry of Science and Technology 2002AA104250; Ministry of Science and Technology CNGI-04-15-7A; National Natural Science Foundation of China 30399120; National Natural Science Foundation of China 90208019; National Natural Science Foundation of China 30200163; National Natural Science Foundation of China 90403130 |
PMID:16845012 | Free for academic use | biotools:wego, nlx_149334 | https://bio.tools/wego | SCR_005827 | BGI WEGO - Web Gene Ontology Annotation Plotting, Web Gene Ontology Annotation Plot | 2026-07-27 09:32:23 | 386 | ||||
|
SNPsandGO Resource Report Resource Website 50+ mentions |
SNPsandGO (RRID:SCR_005788) | SNPs&GO | analysis service resource, service resource, data analysis service, production service resource | A server for the prediction of single point protein mutations likely to be involved in the insurgence of diseases in humans. | prediction, protein, mutation, disease, single nucleotide polymorphism, bio.tools |
is used by: HmtVar is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Bologna; Bologna; Italy |
PMID:19514061 | biotools:snps_go, OMICS_02219 | https://bio.tools/snps_go | SCR_005788 | SNPs and GO | 2026-07-27 09:32:22 | 58 | ||||||
|
PRINSEQ Resource Report Resource Website 1000+ mentions |
PRINSEQ (RRID:SCR_005454) | PRINSEQ | analysis service resource, service resource, data analysis service, production service resource | A publicly available tool that is able to filter, reformat and trim your genomic and metagenomic sequence data and provide you summary statistics for your sequence data. The interactive web interface facilitates visualizations of the results and export functionality for subsequent data processing. The standalone lite version is written in Perl and does not require any non-core Perl modules. The lite version is primarily designed for data preprocessing and does not generate summary statistics in graphical form., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | microbiome, data analysis, genomic sequence data, metagenomic sequence data, summary, perl, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: San Diego State University; California; USA |
PMID:21278185 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01068, biotools:prinseq | http://prinseq.sourceforge.net, https://bio.tools/prinseq | SCR_005454 | PReprocessing and INformation of SEQuences, preprocessing and information of sequences | 2026-07-27 09:32:17 | 1192 | |||||
|
TMA Navigator Resource Report Resource Website 1+ mentions |
TMA Navigator (RRID:SCR_005599) | TMA Navigator | analysis service resource, service resource, data analysis service, production service resource | A free web-based service open to all users for analysis of tissue microarray (TMA) data and related information, accommodating categorical, semi-continuous and continuous expression scores. There is no login requirement. | tissue microarray, network, analysis, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:23761446 | Acknowledgement requested, Free | biotools:tma_navigator, OMICS_00821 | https://bio.tools/tma_navigator | SCR_005599 | 2026-07-27 09:32:19 | 5 | ||||||
|
ExpressYourself Resource Report Resource Website |
ExpressYourself (RRID:SCR_008881) | ExpressYourself | analysis service resource, service resource, data analysis service, production service resource | A fully integrated platform for processing microarray data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
OMICS_00755, biotools:expressyourself | https://bio.tools/expressyourself | SCR_008881 | ExpressYourself: microarray data processing platform, Express Yourself, Express Yourself: microarray data processing platform | 2026-07-27 09:33:14 | 0 | |||||||
|
waviCGH Resource Report Resource Website 1+ mentions |
waviCGH (RRID:SCR_006662) | waviCGH | analysis service resource, service resource, data analysis service, production service resource | A versatile web-server application for the analysis and visualization of array-CGH data. | genomic, copy number alteration, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:20507915 | Acknowledgement requested | OMICS_00739, biotools:wavicgh | https://bio.tools/wavicgh | SCR_006662 | 2026-07-27 09:32:37 | 4 | ||||||
|
Gene Array Analyzer Resource Report Resource Website 1+ mentions |
Gene Array Analyzer (RRID:SCR_008323) | GAA | analysis service resource, service resource, data analysis service, production service resource | Data analysis service that allows to process CEL files from Affymetrix, Inc. GeneChip Gene 1.0 ST Arrays to identify alternative splicing. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:22123740 | Acknowledgement requested | OMICS_00759, biotools:gene_array_analyzer | https://bio.tools/gene_array_analyzer | SCR_008323 | 2026-07-27 09:33:03 | 5 | ||||||
|
GeMoMa Resource Report Resource Website 100+ mentions |
GeMoMa (RRID:SCR_017646) | software application, simulation software, software resource | Software tool as homology based gene prediction program that predicts gene models in target species based on gene models in evolutionary related reference species. Utilizes amino acid sequence conservation, intron position conservation, and RNA-seq data to accurately predict protein-coding transcripts. Supports combination of predictions based on several reference species allowing to transfer high quality annotation of different reference species to target species. | Homology, based, gene, prediction, model, target, evolutionary, related, reference, species, sequence, conservation, intron, position, RNAseq, data, protein, coding, transcript, bio.tools |
is listed by: bio.tools is listed by: Debian works with: GUSHR |
PMID:31020559 | Free, Available for download, Freely available | biotools:gemoma | https://bio.tools/gemoma | SCR_017646 | Gene Model Mapper | 2026-07-27 09:35:32 | 135 | ||||||
|
MB-GAN Resource Report Resource Website 1+ mentions |
MB-GAN (RRID:SCR_019289) | software application, simulation software, software resource | Software tool as deep learning simulation framework for simulating realistic microbiome data. Can automatically learn from given microbial abundances and compute simulated abundances that are indistinguishable from it. | Metagenomics, deep learning, generative adversarial network, microbiome data simulation, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of Texas at Dallas; Texas; USA |
DOI:10.1101/863977 | Free, Available for download, Freely available | biotools:mb-gan | https://bio.tools/mb-gan | SCR_019289 | Microbiome Simulation via Generative Adversarial Network | 2026-07-27 09:35:55 | 1 | ||||||
|
ProP Server Resource Report Resource Website 50+ mentions |
ProP Server (RRID:SCR_014936) | web application, software resource | Web application which predicts arginine and lysine propeptide cleavage sites in eukaryotic protein sequences using an ensemble of neural networks. Furin-specific prediction is the default. It is also possible to perform a general proprotein convertase prediction. | web application, prediction, arginine, lysine, cleavage, propeptide, eukaryotic, protein, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools |
DOI:10.1093/protein/gzh013 | Open source | biotools:prop, BioTools:prop | https://bio.tools/prop, https://bio.tools/prop, https://bio.tools/prop | SCR_014936 | ProP, ProP 1.0 Server, ProP 1.0 | 2026-07-27 09:34:46 | 75 | ||||||
|
Composition Profiler Resource Report Resource Website 10+ mentions |
Composition Profiler (RRID:SCR_014630) | web application, software resource | Web tool for discovery and visualization of differences in amino acid composition. Two samples of amino acid sequences serve as input and a bar chart composed of twenty data points is output. | web tool, web application, amino acid, amino acid composition, sequence, bar chart, bio.tools |
is listed by: Debian is listed by: bio.tools |
PMID:17578581 | Source code available, Acknowledgement requested | biotools:composition_profiler | https://bio.tools/composition_profiler | SCR_014630 | 2026-07-27 09:34:44 | 32 | |||||||
|
GeneWise Resource Report Resource Website 1000+ mentions |
GeneWise (RRID:SCR_015054) | web application, software resource | Gene alignment tool from the EBI which predicts gene structure using similar protein sequences. See also the associated GenomeWise tool. | gene alignment, dna sequence, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Bioinformatics Institute |
PMID:15123596 | Freely available, Available for download | biotools:wise | https://bio.tools/wise | SCR_015054 | 2026-07-27 09:34:53 | 1017 | |||||||
|
ChromImpute Resource Report Resource Website |
ChromImpute (RRID:SCR_023990) | software application, simulation software, software resource | Software tool for large scale systematic epigenome imputation. ChromImpute takes existing compendium of epigenomic data and uses it to predict signal tracks for mark-sample combinations not experimentally mapped or to generate a potentially more robust version of data sets that have been mapped experimentally. | systematic epigenome imputation, epigenomic data, predict signal tracks, mark-sample combinations, not experimentally mapped data, | is listed by: Debian | Free, Available for download, Freely available | OMICS_11185 | https://sources.debian.org/src/chromimpute/ | SCR_023990 | chromimpute | 2026-07-27 09:37:02 | 0 | |||||||
|
InSilicoSeq Resource Report Resource Website 1+ mentions |
InSilicoSeq (RRID:SCR_024041) | software application, simulation software, software resource | Software tool as sequencing simulator producing realistic Illumina reads. Primarily intended for simulating metagenomic samples, it can also be used to produce sequencing data from a single genome. | producing realistic Illumina reads, simulating metagenomic samples, | is listed by: Debian | PMID:30016412 | Free, Available for download, Freely available, | OMICS_31218 | https://sources.debian.org/src/insilicoseq/, https://insilicoseq.readthedocs.io/en/latest/ | SCR_024041 | insilicoseq, InSilicoSeq- A sequencing simulator | 2026-07-27 09:37:02 | 7 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
