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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.

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On page 34 showing 661 ~ 680 out of 1,647 results
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  • RRID:SCR_019104

    This resource has 1+ mentions.

https://github.com/smithlabcode/riborex

Software R package for identification of differential translation from Ribo-seq data. Computational tool for mapping genome wide differences in translation efficiency.

Proper citation: riborex (RRID:SCR_019104) Copy   


https://github.com/anuprulez/galaxy_tool_recommendation

Software developed by analyzing workflows composed by researchers on European Galaxy server, using deep learning approach. Used to recommend tools in Galaxy. Gated recurrent units neural network.

Proper citation: Tool recommender system in Galaxy (RRID:SCR_018491) Copy   


  • RRID:SCR_018495

    This resource has 100+ mentions.

https://github.com/DReichLab/AdmixTools

Software package that supports formal tests of whether admixture occurred, and makes it possible to infer admixture proportions and dates.

Proper citation: ADMIXTOOLS (RRID:SCR_018495) Copy   


  • RRID:SCR_019239

    This resource has 50+ mentions.

https://hoohm.github.io/CITE-seq-Count/

Software python package that allows to count antibody TAGS from CITE-seq and/or cell hashing experiment. Software tool that allows to get UMI counts from single cell protein assay. Used to count (UMI counts) antibody-derived-tags (ADTs) or Cell Hashing tags (HTOs) in raw sequencing reads and build count matrix.

Proper citation: CITE-seq-Count (RRID:SCR_019239) Copy   


  • RRID:SCR_018877

    This resource has 1+ mentions.

https://github.com/cobilab/geco3/

Software tool as DNA compressor that uses neural network to do mixing of experts.

Proper citation: GeCo3 (RRID:SCR_018877) Copy   


  • RRID:SCR_019291

    This resource has 1+ mentions.

https://github.com/liqiwei2000/BayesEpiModels

Software tool for accessing performance of different epidemiological models, including both growth and compartmental models, in Bayesian framework.

Proper citation: BayesEpiModels (RRID:SCR_019291) Copy   


  • RRID:SCR_018004

    This resource has 10+ mentions.

https://bioconductor.org/packages/EpiDISH/

Software R package provides tools to infer proportions of priori known cell-types present in sample representing mixture of such cell-types. Comparison of reference based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.

Proper citation: EpiDISH R package (RRID:SCR_018004) Copy   


  • RRID:SCR_021396

https://github.com/cosanlab/facesync

Open source software Python toolbox which automatically synchronizes recorded facial expressions to videos and events such as social interactions.Framework for recording facial expressions with head mounted cameras.

Proper citation: FaceSync (RRID:SCR_021396) Copy   


  • RRID:SCR_014686

    This resource has 10+ mentions.

http://metap.helmholtz-muenchen.de/metap2/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 5,2023. Software tool for processing in metabolomics experiments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MetaP (RRID:SCR_014686) Copy   


  • RRID:SCR_015045

    This resource has 1+ mentions.

http://web.cmb.usc.edu/people/alber/Software/tomominer/

Software platform for large-scale cryo electron subtomogram classification, alignment, and averaging.

Proper citation: TomoMiner (RRID:SCR_015045) Copy   


  • RRID:SCR_018359

    This resource has 1+ mentions.

http://www.bioinformatics.org/go2msig/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists.
Gene set collections can be automatically created for wide variety of species.

Proper citation: GO2MSIG (RRID:SCR_018359) Copy   


  • RRID:SCR_015501

    This resource has 5000+ mentions.

http://www.microbesonline.org/fasttree/

Source code that infers approximately-maximum-likelihood phylogenetic trees from alignments of nucleotide or protein sequences. It uses the Jukes-Cantor or generalized time-reversible (GTR) models of nucleotide evolution and the JTT, WAG, or LG models of amino acid evolution.

Proper citation: FastTree (RRID:SCR_015501) Copy   


  • RRID:SCR_015654

    This resource has 100+ mentions.

https://cran.r-project.org/web/packages/lme4/index.html

Software R package. Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue."

Proper citation: lme4 (RRID:SCR_015654) Copy   


  • RRID:SCR_013764

    This resource has 1+ mentions.

http://labs.europepmc.org/evf

A web application to assist in the identification of articles and research related to literature search terms. The search covers full text articles in the Europe PMC repository. Relevant papers are suggested to users based on the scientific term searched and the selection of questions, generated by the application, relevant to term searched.

Proper citation: EvidenceFinder (RRID:SCR_013764) Copy   


  • RRID:SCR_002403

    This resource has 1000+ mentions.

http://www.mricro.com

Software tool as a cross-platform NIfTI format image viewer. Used for viewing and exporting of brain images. MRIcroGL is a variant of MRIcron.

Proper citation: MRIcron (RRID:SCR_002403) Copy   


  • RRID:SCR_004321

    This resource has 100+ mentions.

http://sideeffects.embl.de/

Database containing information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug-target relations. The SIDER Side Effect Resource represents an effort to aggregate dispersed public information on side effects. To our knowledge, no such resource exist in machine-readable form despite the importance of research on drugs and their effects. The creation of this resource was motivated by the many requests for data that we received related to our paper (Campillos, Kuhn et al., Science, 2008, 321(5886):263-6.) on the utilization of side effects for drug target prediction. Inclusion of side effects as readouts for drug treatment should have many applications and we hope to be able to enhance the respective research with this resource. You may browse the drugs by name, browse the side effects by name, download the current version of SIDER, or use the search interface.

Proper citation: SIDER (RRID:SCR_004321) Copy   


  • RRID:SCR_003735

    This resource has 50+ mentions.

http://identifiers.org/

A system providing resolvable persistent Uniform Resource Identifiers (URIs) used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. It provides direct access to the identified data using one chosen physical location (or resource). If more than one physical locations providing the data are recorded in the Registry, then you can access them via the top banner or by using a profile.

Proper citation: Identifiers.org (RRID:SCR_003735) Copy   


  • RRID:SCR_004173

    This resource has 10+ mentions.

http://www.inmex.ca./INMEX/

A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner.

Proper citation: INMEX (RRID:SCR_004173) Copy   


  • RRID:SCR_004694

    This resource has 1000+ mentions.

http://www.yeastgenome.org/

A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.

Proper citation: SGD (RRID:SCR_004694) Copy   


  • RRID:SCR_004726

    This resource has 10000+ mentions.

http://pfam.xfam.org/

A database of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Users can analyze protein sequences for Pfam matches, view Pfam family annotation and alignments, see groups of related families, look at the domain organization of a protein sequence, find the domains on a PDB structure, and query Pfam by keywords. There are two components to Pfam: Pfam-A and Pfam-B. Pfam-A entries are high quality, manually curated families that may automatically generate a supplement using the ADDA database. These automatically generated entries are called Pfam-B. Although of lower quality, Pfam-B families can be useful for identifying functionally conserved regions when no Pfam-A entries are found. Pfam also generates higher-level groupings of related families, known as clans (collections of Pfam-A entries which are related by similarity of sequence, structure or profile-HMM).

Proper citation: Pfam (RRID:SCR_004726) Copy   



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