Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

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.

Search

Type in a keyword to search

On page 109 showing 2161 ~ 2180 out of 2,279 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_006525

    This resource has 10000+ mentions.

Ratings or validation data are available for this resource

http://broadinstitute.github.io/picard/

Java toolset for working with next generation sequencing data in the BAM format.

Proper citation: Picard (RRID:SCR_006525) Copy   


  • RRID:SCR_005783

    This resource has 10+ mentions.

http://www.biopieces.org

A collection of bioinformatics tools that can be pieced together in a very easy and flexible manner to perform both simple and complex tasks. The Biopieces work on a data stream in such a way that the data stream can be passed through several different Biopieces, each performing one specific task: modifying or adding records to the data stream, creating plots, or uploading data to databases and web services. The Biopieces are executed in a command line environment where the data stream is initialized by specific Biopieces which read data from files, databases, or web services, and output records to the data stream that is passed to downstream Biopieces until the data stream is terminated at the end of the analysis. The advantage of the Biopieces is that a user can easily solve simple and complex tasks without having any programming experience. Moreover, since the data format used to pass data between Biopieces is text based, different developers can quickly create new Biopieces in their favorite programming language - and all the Biopieces will maintain compatibility. Finally, templates exist for creating new Biopieces in Perl and Ruby. There are currently ~190 Biopieces (March 2014).

Proper citation: Biopieces (RRID:SCR_005783) Copy   


  • RRID:SCR_007111

    This resource has 100+ mentions.

http://www.biochem.ucl.ac.uk/bsm/virus_database/VIDA3/VIDA.html

VIDA contains a collection of homologous protein families derived from open reading frames from complete and partial virus genomes. For each family, users can get an alignment of the conserved regions, functional and taxonomy information, and links to DNA sequences and structures. * Search homologous protein families from particular virus families * Links to complete genome sequence: Arteriviridae, Coronaviridae, Herpesviridae, Poxviridae The Virus Database at University College London has been developed as a system to organize animal virus open reading frame sequences. All known and predicted protein sequences from complete and partial genomes of particular virus families are extracted from GenBank and filtered to remove 100% redundancy. On the basis of sequence similarity the sequences are then clustered into homologous protein families (HPFs). The families are enriched with annotations including function and functional classification, related protein structures, taxonomy, length of the proteins, boundaries of the conserved region/s, virus-specific gene name and links to EMBL entries and SWISSPROT., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: VIDA (RRID:SCR_007111) Copy   


  • RRID:SCR_011895

    This resource has 1+ mentions.

http://bioen-compbio.bioen.illinois.edu/FusionHunter/

Software for identifying fusion transcripts using paired-end RNA-seq.

Proper citation: FusionHunter (RRID:SCR_011895) Copy   


  • RRID:SCR_018134

    This resource has 1+ mentions.

https://gitlab.com/kyrgyzov/lsa_slurm

Software tool to implement pre-assembly binning scheme leveraging sparse dictionary learning and matrix factorization to solve sparse decomposition problems arising in field of metagenomics.

Proper citation: lsa_slurm (RRID:SCR_018134) Copy   


  • RRID:SCR_018209

    This resource has 10+ mentions.

https://github.com/theislab/anndata

Software tool that provides scalable way of keeping track of data and learned annotations. Initially built for Scanpy. Used as generic class for handling annotated data matrices. Stores data matrix with annotations of observations (samples, cells) and variables (features, genes), and unstructured annotations.

Proper citation: Anndata (RRID:SCR_018209) Copy   


  • RRID:SCR_018226

    This resource has 1+ mentions.

https://github.com/molgor/biospytial

Software package as spatial graph based computing engine for ecological big data. Modular open source knowledge engine designed to import, organize, analyse and visualize big spatial ecological datasets using power of graph theory. Handles species occurrences and their taxonomic classification for performing ecological analysis on biodiversity and species distributions. Data are linked with relationships that are stored in graph database, while tabular and geospatial data are stored in relational database management system.

Proper citation: biospytial (RRID:SCR_018226) Copy   


  • RRID:SCR_018182

    This resource has 100+ mentions.

http://www.cbs.dtu.dk/services/NetMHCpan/

Web server for quantitative prediction of peptide binding to any MHC molecule of known sequence using artificial neural networks. Characterizes binding specificity of given major histocompatibility complex molecule and predicts peptide length profile and peptide binding affinity. NetMHCpan 3.0 is improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets. NetMHCpan 4.0 is trained on naturally eluted ligands and on peptide binding affinity data. NetMHCpan-4.1 server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs).

Proper citation: NetMHCpan Server (RRID:SCR_018182) Copy   


  • RRID:SCR_018398

    This resource has 1+ mentions.

http://emboss.bioinformatics.nl/cgi-bin/emboss/pepwheel

Web tool to visualise protein sequences as helices. Draws helical wheel diagram for protein sequence. EMBOSS pepwheel displays peptide sequences in helical representation.

Proper citation: pepwheel (RRID:SCR_018398) Copy   


  • RRID:SCR_018306

    This resource has 1+ mentions.

https://github.com/sysu-yanglab/TDimpute

Software tool to transfer learning based deep neural network to impute missing gene expression data from DNA methylation data.

Proper citation: TDimpute (RRID:SCR_018306) Copy   


  • RRID:SCR_018191

    This resource has 10+ mentions.

http://dgpred.cbr.su.se/

Web server to predict ΔGapp for membrane insertion of potential TM helix. Given amino acid sequence of putative transmembrane helix, server gives prediction of corresponding apparent free energy difference for insertion of this sequence into Endoplasmic Reticulum membrane by means of Sec61 translocon.

Proper citation: ΔG prediction server (RRID:SCR_018191) Copy   


  • RRID:SCR_018730

    This resource has 1+ mentions.

https://github.com/gevaertlab/BetaVAEImputation

Software tool as deep learning framework based on variational autoencoder to impute missing values in transcriptome and methylome data analysis.

Proper citation: betaVAEImputation (RRID:SCR_018730) Copy   


http://pic.mbu.iisc.ernet.in

Web server for inter residue interaction calculations in single site. Determines accessible surface area and residue depth, which is distance of residue from surface of protein. Recognizes specific kind of interactions, such as apolar–apolar residue interactions or ionic interactions, that are formed between buried or exposed residues or near surface or deep inside. Recognizes interactions including disulphide bonds, hydrophobic interactions, ionic interactions, hydrogen bonds, aromatic- aromatic interactions, aromatic-sulphur interactions and cation interactions within protein or between proteins in complex.

Proper citation: Protein Interactions Calculator (RRID:SCR_018574) Copy   


  • RRID:SCR_018572

    This resource has 1+ mentions.

http://lrpath.ncibi.org/

Web tool to perform gene set enrichment testing. Used to test for predefined biologically relevant gene sets that contain more significant genes from experimental dataset than expected by chance. Logistic regression approach for identifying enriched biological groups in gene expression data.

Proper citation: LRPath (RRID:SCR_018572) Copy   


  • RRID:SCR_018740

    This resource has 100+ mentions.

http://www.prognoscan.org/

Database for meta analysis of prognostic value of genes from server at Kyushu Institute of Technology. Collection of publicly available cancer microarray datasets with clinical annotation, as well as tool for assessing biological relationship between gene expression and prognosis. Provides platform for evaluating potential tumor markers and therapeutic targets.

Proper citation: PrognoScan (RRID:SCR_018740) Copy   


https://www.machado.cnptia.embrapa.br/plantannot

Webserver for identifying targets for genetically modified crop breeding pipelines. Used to find proteins that have no annotation or function assigned and could be related to molecular mechanisms regarding abiotic stresses in plants. System aggregates orthology, coexpression networks and genomic data to filter genomes of plants downloaded from Phytozome and NCBI and select candidate proteins in that regard.

Proper citation: Plant Co-expression Annotation Resource (RRID:SCR_018429) Copy   


  • RRID:SCR_018710

    This resource has 10+ mentions.

http://crispr-era.stanford.edu/index.jsp

Software comprehensive design tool for CRISPR mediated gene editing, repression and activation. Fast and comprehensive guide RNA design tool for genome editing, repression and activation. Used for automated genome wide sgRNA design.

Proper citation: CRISPR-ERA (RRID:SCR_018710) Copy   


  • RRID:SCR_018558

    This resource has 100+ mentions.

http://galaxy.seoklab.org/

Web server for protein structure prediction and refinement. Used to predict protein structure from sequence by template based modeling. Used for refinement after providing starting model structure and locations of loops or termini to be refined.

Proper citation: GalaxyWEB (RRID:SCR_018558) Copy   


  • RRID:SCR_018552

    This resource has 10+ mentions.

http://www.cbs.dtu.dk/services/MaxAlign/

Web tool for maximizing usable data in alignment. Maximizes number of characters that are present in gap free columns alignment area by selecting optimal subset of sequences. Removes sequences with many gaps in post process of alignments in order to improve alignment area.

Proper citation: MaxAlign (RRID:SCR_018552) Copy   


  • RRID:SCR_018725

    This resource has 50+ mentions.

https://milaboratory.com/software/mixcr/

Software tool to processes big immunome data from raw sequences to quantitated clonotypes by MiLaboratory LLC. Universal software for analysis of T- and B-cell receptor repertoire high throughput sequencing data. Software for comprehensive adaptive immunity profiling.

Proper citation: MiXCR (RRID:SCR_018725) Copy   



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.

Can't find the RRID you're searching for? X
  1. NIDDK Information Network Resources

    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.

  2. Navigation

    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.

  3. Logging in and Registering

    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.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within dkNET that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    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.

X