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 123 showing 2441 ~ 2460 out of 26,846 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_005535

    This resource has 10+ mentions.

http://mirnylab.bitbucket.org/hiclib/index.html

An Software resource

Proper citation: Hiclib (RRID:SCR_005535) Copy   


  • RRID:SCR_005496

    This resource has 100+ mentions.

http://compbio.cs.toronto.edu/shrimp/

A software package for aligning genomic reads against a target genome.

Proper citation: SHRiMP (RRID:SCR_005496) Copy   


  • RRID:SCR_005530

http://brainethics.org/

There are a lot of fine blogs out there covering the avalance of current neuroscience research. With this blog Thomas Rams��y & Martin Skov want to highlight the many consequences of this growing understanding of the human brain. We are especially interested in two types of consequences: Tinkering with the brain and What is it like to be a human being? * Tinkering with the brain: First and foremost, with an understanding of how the brain works comes the possibility of tinkering with it. We already use billions of dollars every year on psychopharmocologia trying to treat depression, schizophrenia, obsessive-compulsive disorder and other mental diseases. But should we also use our knowledge of the brain to treat undesirable mental traits such as pedophilia or sociopathy? And what about enhancing normal brains? Clearly, evolution hasn''t endowed us with the most efficient brain imaginable. Shouldn''t we do something about its many shortcomings? * What is it like to be a human being?: Secondly, our view of human behavior is sure to change with our improved understanding of the human brain. Our knowledge of core human faculties such as language, social reasoning, aesthetics, and economics is already being challenged by modern neuroscience, yielding multiple hard questions. Do we have a free will? Is the mind innate or plastic? If people are not responsible for their actions (since all actions are caused by blind molecular processes) does our legal system still make sense? In short, will modern neuroscience come to completely redefine human nature? We try to discuss contemporary research literature, not just news reports. Although we will occasionally also target popular science reports, since we believe they play an important role in dissemining lessons from the lab. And in the future we plan to also post interviews with interesting researchers, as well as link to our own publications in journals and books. Additionally, the latest and most important books in the multidisciplinary field of neuroscience, cognition, psychology, ethics and economics are presented.

Proper citation: BrainEthics (RRID:SCR_005530) Copy   


  • RRID:SCR_005410

    This resource has 10+ mentions.

http://www.pazar.info/

Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PAZAR (RRID:SCR_005410) Copy   


  • RRID:SCR_005498

    This resource has 500+ mentions.

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

Software that aligns DNA sequencing reads with a reference genome. Reads from a wide range of sequencing platforms, for example Illumina, Roche-454, Ion Torrent, PacBio or ABI-Sanger, can be processed including paired reads.

Proper citation: SMALT (RRID:SCR_005498) Copy   


http://www.enseignementsup-recherche.gouv.fr/

Ministry of Higher Education, Research and Innovation, France is one of the 900 Higher Education-related Organizations and Associations.

Proper citation: French Ministry of Higher Education and Research (RRID:SCR_005532) Copy   


  • RRID:SCR_005493

    This resource has 100+ mentions.

http://www.jcvi.org/cgi-bin/tigrfams/index.cgi

Consists curated multiple sequence alignments, Hidden Markov Models (HMMs) for protein sequence classification, and associated information designed to support automated annotation of (mostly prokaryotic) proteins. Starting with release 10.0, TIGRFAMs models use HMMER3, which provides excellent search speed as well as exquisite search sensitivity. See the "TIGRFAMs Complete Listing" page to review the accession, protein name, model type, and EC number (if assigned) of all models. TIGRFAMs is a member database in InterPro. The HMM libraries and supporting files are available to download and use for free from our FTP site.

Proper citation: TIGRFAMS (RRID:SCR_005493) Copy   


  • RRID:SCR_005494

    This resource has 10+ mentions.

http://www.bioinf.uni-leipzig.de/Software/segemehl/

A software to map short sequencer reads to reference genomes. It is able to detect not only mismatches but also insertions and deletions. Furthermore, it is not limited to a specific read length and is able to mapprimer- or polyadenylation contaminated reads correctly. segemehl implements a matching strategy based on enhanced suffix arrays (ESA). Segemehl now supports the SAM format, reads gziped queries to save both disk and memory space and allows bisulfite sequencing mapping and split read mapping.

Proper citation: Segemehl (RRID:SCR_005494) Copy   


  • RRID:SCR_005490

    This resource has 1000+ mentions.

http://pass.cribi.unipd.it/cgi-bin/pass.pl

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 19, 2020.A program to align short sequences that has been developed with an innovative strategy to perform fast gapped and ungapped alignment onto a reference sequence. It supports several data formats and allows the user to modulate very finely the sensitivity of the alignments. The program is designed to handle huge amounts of short reads generated by ILLUMINA, SOLiD and Roche-454 technology. The optimization of the internal data structure and a filter based on precomputed short-word alignments allow the program to skip false positives in the extension phase, thus reducing the execution time without loss of sensitivity. The final alignment is performed by dynamic programming., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PASS (RRID:SCR_005490) Copy   


http://www.salute.gov.it/

Governmental agency of Italy. Its headquarters are in Rome and is led by the Italian Minister of Health.

Proper citation: Ministry of Health; Rome; Italy (RRID:SCR_005526) Copy   


  • RRID:SCR_005406

    This resource has 10+ mentions.

http://pythonhosted.org/pyDNase/

A software library for analyzing DNase-seq data.

Proper citation: pyDNase (RRID:SCR_005406) Copy   


  • RRID:SCR_005402

    This resource has 10+ mentions.

http://neurolex.org/wiki/Main_Page

A freely editable semantic wiki for community-based curation of the terms used in Neuroscience. Entries are curated and eventually incorporated into the formal NIFSTD ontology. NeuroLex also includes a Resource branch for community members to freely add neuroscience relevant resources that do not become part of NIFSTD ontology but rather make up the NIF Registry. As part of the NIF, we provide a simple search interface to many different sources of neuroscience information and data. To make this search more effective, we are constructing ontologies to help organize neuroscience concepts into category hierarchies, e.g., neuron is a cell. These categories provide the means to perform more effective searches and also to organize and understand the information that is returned. But an important adjunct to this activity is to clearly define all of the terms that we use to describe our data, e.g., anatomical terms, techniques, organism names. Because wikis provide an easy interface for communities to contribute their knowledge, we started the NeuroLex.

Proper citation: NeuroLex (RRID:SCR_005402) Copy   


  • RRID:SCR_005523

    This resource has 1+ mentions.

http://pringlelab.stanford.edu/projects.html

Software to collapse identical and near-identical Illumina and 454 reads (such as those from PCR clones) into single error-corrected sequences; it can process paired-end as well as single-end reads. Fulcrum is customizable and can be deployed on a single machine, a local network or a commercially available MapReduce cluster, and it has been optimized to maximize ease-of-use, cross-platform compatibility and future scalability. Sequence datasets have been collapsed by up to 71%, and the reduced number and improved quality of the resulting sequences allow assemblers to produce longer contigs while using less memory.

Proper citation: Fulcrum (RRID:SCR_005523) Copy   


  • RRID:SCR_005525

    This resource has 1+ mentions.

http://www.randox.com/

An Antibody supplier

Proper citation: Randox Life Sciences (RRID:SCR_005525) Copy   


  • RRID:SCR_005485

    This resource has 50+ mentions.

http://maq.sourceforge.net/

A set of programs that map and assemble fixed-length Solexa/SOLiD reads in a fast and accurate way.

Proper citation: Maq (RRID:SCR_005485) Copy   


  • RRID:SCR_005486

    This resource has 50+ mentions.

http://code.google.com/p/mosaik-aligner/

A reference-guided assembler comprising of two main modular programs: MosaikBuild and MosaikAligner. MosaikBuild converts various sequence formats into Mosaik?s native read format. MosaikAligner pairwise aligns each read to a specified series of reference sequences and produces BAMs as outputs. At this time, the workflow consists of supplying sequences in FASTA, FASTQ, Illumina Bustard & Gerald, or SRF file formats and producing results in the BAM format. Unlike many current read aligners, MOSAIK produces gapped alignments using the Smith-Waterman algorithm. MOSAIK is written in highly portable C++ and currently targetted for the following platforms: Microsoft Windows, Apple Mac OS X, FreeBSD, and Linux operating systems. Other platforms can easily be supported upon request. MOSAIK is multithreaded. If you have a machine with 8 processors, you can use all 8 processors to align reads faster while using the same memory footprint as when using one processor. MOSAIK supports multiple sequencing technologies. In addition to legacy technologies such as Sanger capillary sequencing, our program supports next generation technologies such as Roche 454, Illumina, AB SOLiD, and experimental support for the Helicos Heliscope.

Proper citation: MOSAIK (RRID:SCR_005486) Copy   


  • RRID:SCR_005520

    This resource has 1000+ mentions.

http://chipexo.sourceforge.net/

A bioinformatics tool dedicated to analyze ChIP-exo data: 1) Sequencing depth normalization and nucleotide composition bias correction. 2) Signal consolidation and noise reduction. 3) Single base resolution border detection. 4) Border matching.

Proper citation: MACE (RRID:SCR_005520) Copy   


  • RRID:SCR_005488

    This resource has 100+ mentions.

http://cibiv.github.io/NextGenMap/

A mapping program for Next Generation Sequencing reads that is more than twice as fast as BWA, while achieving a mapping sensitivity similar to Stampy or Bowtie2. NextGenMap uses a memory efficient index structure (hash table) to store the positions of all 13-mers present in the reference genome. This index enables a quick identification of potential mapping regions for every read. Unlike other methods, NextGenMap dynamically determines for each read individually how many of the potential mapping regions have to be evaluated by a pairwise sequence alignment. Moreover, NextGenMap uses fast SIMD instructions (SSE) to accelerate the alignment calculations on the CPU. If available NextGenMap calculates the alignments on the GPU (using OpenCL/CUDA) resulting in a runtime reduction of another 20 - 50 %, depending on the underlying data set.

Proper citation: NextGenMap (RRID:SCR_005488) Copy   


  • RRID:SCR_005517

    This resource has 5000+ mentions.

http://www.raybiotech.com/

An Antibody supplier

Proper citation: RayBiotech (RRID:SCR_005517) Copy   


http://eng.mon.gov.ru/

Proper citation: Ministry of Education and Science of the Russian Federation (RRID:SCR_005434) 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