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 100 showing 1981 ~ 2000 out of 2,818 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_004316

    This resource has 100+ mentions.

https://bcbio-nextgen.readthedocs.org/en/latest/

A python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.

Proper citation: bcbio-nextgen (RRID:SCR_004316) Copy   


  • RRID:SCR_004175

    This resource has 50+ mentions.

http://genome.gsc.riken.jp/osc/english/dataresource/

A program to eliminate artifactual reads from next-generation sequencing data sets.

Proper citation: TagDust (RRID:SCR_004175) Copy   


  • RRID:SCR_004231

    This resource has 500+ mentions.

https://www.hgsc.bcm.edu/software/mercury

An automated, flexible, and extensible analysis workflow that provides accurate and reproducible genomic results at scales ranging from individuals to large cohorts. The analysis pipeline is deployed in local hardware and the Amazon Web Services cloud via the DNAnexus platform.

Proper citation: Mercury (RRID:SCR_004231) Copy   


  • RRID:SCR_004237

http://cb-commander.sourceforge.net/pmwiki.php

A plugin based software tool that tries to integrate high throughput sequencing algorithms. It allows researchers to design and execute their experiments through a user friendly interface, enabling users to integrate di erent components of an experiment, e.g. algorithms and converters, into one graphically interfaced application that is very easy to use when working on remote servers as well as local computers. The graphical user interface facilitates a visual design of experiments by using a block diagram to represent the components (algorithms, converters, etc.) of an experiment as a pipeline. The users can easily modify this pipeline.

Proper citation: CB-Commander (RRID:SCR_004237) Copy   


http://www.sanger.ac.uk/resources/software/artemis/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Free genome browser and annotation tool that allows visualization of sequence features, next generation data and the results of analyses within the context of the sequence, and also its six-frame translation. Artemis is free software and is distributed under the terms of the GNU General Public License. Artemis is written in Java, and is available for UNIX, Macintosh and Windows systems. It can read EMBL and GENBANK database entries or sequence in FASTA, indexed FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

Proper citation: Artemis: Genome Browser and Annotation Tool (RRID:SCR_004267) Copy   


  • RRID:SCR_004268

    This resource has 10+ mentions.

http://www.ccmp.ox.ac.uk/peakdeck

A peak-calling software program for DNAseI-seq data.

Proper citation: PeaKDEck (RRID:SCR_004268) Copy   


  • RRID:SCR_004250

    This resource has 1+ mentions.

https://github.com/alyssafrazee/derfinder

R package for differential expression analysis of RNA-seq data.

Proper citation: DER Finder (RRID:SCR_004250) Copy   


  • RRID:SCR_004469

    This resource has 1+ mentions.

https://github.com/dsturg/Spanki

A set of tools to facilitate analysis of alternative splicing from RNA-SEQ data.

Proper citation: Spanki (RRID:SCR_004469) Copy   


  • RRID:SCR_004455

    This resource has 10+ mentions.

http://sourceforge.net/projects/pasha/

A parallel short read assembler for large genomes using de Bruijn graphs.

Proper citation: PASHA (RRID:SCR_004455) Copy   


  • RRID:SCR_004456

    This resource has 1+ mentions.

http://www.leonxie.com/DeepFinder.php

Provides an comprehensive workflow of analyzing data from plant microRNA (miRNA) deep sequencing.

Proper citation: miRDeepFinder (RRID:SCR_004456) Copy   


  • RRID:SCR_004522

http://cran.r-project.org/web/packages/kdetrees/

R package using a non-parametric method for estimating distributions of phylogenetic trees, with the goal of identifying trees that are significantly different from the rest of the trees in the sample.

Proper citation: Kdetrees (RRID:SCR_004522) Copy   


  • RRID:SCR_004362

    This resource has 10+ mentions.

http://virome.diagcomputing.org/#view=home

A web-application designed for scientific exploration of metagenome sequence data collected from viral assemblages occurring within a number of different environmental contexts. The VIROME informatics pipeline focuses on the classification of predicted open-reading frames (ORFs) from viral metagenomes. The portal allows you to submit your viral metagenome to be processed through the VIROME analysis pipeline, and enable you to investigate your data via the VIROME user interface., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: VIROME (RRID:SCR_004362) Copy   


  • RRID:SCR_004483

    This resource has 10+ mentions.

http://vamps.mbl.edu/overview.php

A publicly-accessible website to measure and visualize similarities and differences between molecular profiles of complex microbial communities. The project includes visualization tools such as heat maps that simultaneously compare the taxonomic distributions of multiple datasets and 3-D charts of the frequency distributions of 16S rRNA tags. Analytical tools include Chao diversity estimates and rarefaction curves. As a service to the community, researchers have the opportunity to upload their own data to the site for private viewing with the full range of data and analysis tools. Public data can be downloaded for further analysis locally.

Proper citation: VAMPS (RRID:SCR_004483) Copy   


  • RRID:SCR_004420

    This resource has 1+ mentions.

http://snoopcgh.sourceforge.net/

A java desktop application for visualising and exploring comparative genomic hybridization (CGH) data.

Proper citation: SnoopCGH (RRID:SCR_004420) Copy   


http://rulai.cshl.edu/SCPD/

A promoter database of Saccharomyces cerevisiae. Users can explore the promoter regions of ~6000 genes and ORFs in yeast genome, annotate putative regulatory sites of all genes and ORFs, locate intergenic regions, and retrieve sequence of the promoter region. In regards to regulatory elements and transcription factors, users can provide information on transcriptionally related genes, browse matrix and consensus sequences, view the correlation between elements, observe binding affinity and expression, and look at genomewise distribution. SCPD also provides some simple but useful tools for promoter sequence analysis. Gene, consensus and matrix records may be submitted.

Proper citation: SCPD - Saccharomyces cerevisiae promoter database (RRID:SCR_004412) Copy   


  • RRID:SCR_004413

    This resource has 1+ mentions.

http://www.irisa.fr/symbiose/projects/gassst/

Software that finds global alignments of short DNA sequences against large DNA banks. It is able to perform fast gapped alignments and works well for both short and longer reads. It has been tested for reads up to 500bp.

Proper citation: GASSST (RRID:SCR_004413) Copy   


http://www.trex.uqam.ca/

A web server dedicated to the reconstruction of phylogenetic trees, reticulation networks and to the inference of horizontal gene transfer (HGT) events.

Proper citation: Tree and reticulogram REConstruction (RRID:SCR_004497) Copy   


  • RRID:SCR_004377

    This resource has 1+ mentions.

http://bix.ucsd.edu/projects/singlecell/

Software package for short read data from single cells that improves assembly through use of progressively increasing coverage cutoff. Used for single cell Illumina sequences, allows variable coverage datasets to be utilized with assembly of E. coli and S. aureus single cell reads. Assembles single cell genome of uncultivated SAR324 clade of Deltaproteobacteria.

Proper citation: Velvet-SC (RRID:SCR_004377) Copy   


  • RRID:SCR_004720

    This resource has 1+ mentions.

http://bioinfo.unl.edu/raiphy.php

A semi-supervised metagenomic fragment classification software program that utilizes the genome signatures to characterize the DNA sequences and taxonomic classification is based on an information theoretic measure referred as Relative Abundance Index (RAI). A DNA sequence of unknown source is classified and taxonomically labeled based on the phylogenetic profiles of the previously sequenced genomes. The profiles are iteratively updated using the unknown DNA sequences and the classification results. After a few cycles, the metagenome is classified into operational taxonomic units.

Proper citation: RAIphy (RRID:SCR_004720) Copy   


https://www.biodiscovery.com/products/nexus-copy-number?hsLang=en

Software package provides statistical tools. Derives copy number and BAF from variety of NGS data including WES, WGS, targeted panel, and shallow sequencing as well as Microarray data. Multifaceted desktop software for rapid discovery of genomic alterations. Accepts data from various manufacturers and technologies including Infinium GSA and CytoScan XON.

Proper citation: BioDiscovery Nexus Copy Number (RRID:SCR_004557) 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