Searching across hundreds of databases

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
X
Forgot Password

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

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 7 showing 121 ~ 140 out of 2,818 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_010915

    This resource has 1+ mentions.

http://www.mhh.de/acghtool.html

A software tool for the normalization, visualization, breakpoint detection, and comparative analysis of array-CGH data which allows the accurate and sensitive detection of CNAs.

Proper citation: aCGHtool (RRID:SCR_010915) Copy   


  • RRID:SCR_010918

    This resource has 100+ mentions.

https://earray.chem.agilent.com/cghanalytics/index.html

A comprehensive design and analysis tool for setting up and interpreting your microarray experiments.

Proper citation: Agilent Genomic Workbench (RRID:SCR_010918) Copy   


  • RRID:SCR_010872

    This resource has 1+ mentions.

http://pages.cs.wisc.edu/~kliang/DBChIP/

Detects differential binding of transcription factors with ChIP-seq.

Proper citation: DBChIP (RRID:SCR_010872) Copy   


  • RRID:SCR_010874

    This resource has 10+ mentions.

http://cran.r-project.org/web/packages/DIME/index.html

R-package for identifying differential ChIP-seq based on an ensemble of mixture models.

Proper citation: DIME (RRID:SCR_010874) Copy   


  • RRID:SCR_010877

    This resource has 1+ mentions.

http://www.cs.ucf.edu/~xiaoman/ChIPModule/ChIPModule.html

A software tool for systematic discovery of transcription factors and their cofactors from ChIP-seq data.

Proper citation: ChIPModule (RRID:SCR_010877) Copy   


  • RRID:SCR_010911

http://sourceforge.net/apps/mediawiki/cloudburst-bio/index.php?title=CloudBurst

A new parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics.

Proper citation: CloudBurst (RRID:SCR_010911) Copy   


  • RRID:SCR_010912

    This resource has 10+ mentions.

http://erne.sourceforge.net/

A short string alignment package whose goal is to provide an all-inclusive set of tools to handle short (NGS-like) reads.

Proper citation: ERNE (RRID:SCR_010912) Copy   


  • RRID:SCR_010880

    This resource has 50+ mentions.

http://fureylab.web.unc.edu/software/fseq/

A software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser.

Proper citation: F-Seq (RRID:SCR_010880) Copy   


  • RRID:SCR_005553

    This resource has 100+ mentions.

http://code.google.com/p/ea-utils/

Command-line software tools for processing biological sequencing data. Barcode demultiplexing, adapter trimming, etc. Primarily written to support an Illumina based pipeline - but should work with any FASTQs.

Proper citation: ea-utils (RRID:SCR_005553) Copy   


  • RRID:SCR_005428

    This resource has 1+ mentions.

http://code.google.com/p/bseqc/

A quality control software package specially for bisulfite sequencing experiments. It can comprehensively evaluate the quality of BS-seq experiments and automatically trim nucleotides with potential technical biases. In addition, BSeQC also support removing duplicate reads and keeping one copy of the overlapping segment in paired-end sequencing.

Proper citation: BSeQC (RRID:SCR_005428) Copy   


  • RRID:SCR_005459

    This resource has 100+ mentions.

http://brainarray.mbni.med.umich.edu/brainarray/ngsqc/

Software pipeline that provides a set of novel quality control measures for quickly detecting a wide variety of quality issues in deep sequencing data derived from two dimensional surfaces, regardless of the assay technology used. It also enables researchers to determine whether sequencing data related to their most interesting biological discoveries are caused by sequencing quality issues. NGSQC can help to ensure that biological conclusions, in particular those based on relatively rare sequences, are not caused by low quality sequencing.

Proper citation: NGSQC (RRID:SCR_005459) Copy   


  • RRID:SCR_005450

http://www.stat.purdue.edu/~cheng70/code.html

A classification software for DNA methylation profiling with bisulphite next-generation sequencing data.

Proper citation: MSC (RRID:SCR_005450) Copy   


  • RRID:SCR_005449

    This resource has 1+ mentions.

http://smithlab.usc.edu/plone/software/mlml

A software tool to simultaneously estimate hydroxymethylation (5hmC) and methylation (5mC) levels from BS-seq, oxBS-seq and TAB-seq experiments. It generates consistent estimates across experiment types.

Proper citation: MLML (RRID:SCR_005449) Copy   


  • RRID:SCR_005446

    This resource has 10+ mentions.

http://bioinfo2.ugr.es/MethylExtract/

A user friendly software tool to generate i) high quality, whole genome methylation maps and ii) to detect sequence variation within the same sample preparation.

Proper citation: MethylExtract (RRID:SCR_005446) Copy   


  • RRID:SCR_005443

    This resource has 1+ mentions.

http://campagnelab.org/software/gobyweb/

Web application that facilitates the management and analysis of high-throughput sequencing (HTS) data. In the back-end, it uses the Goby framework, BWA, STAR, Last, GSNAP, Samtools, VCF-tools, along with a cluster of servers to provide rapid alignment and efficient analyses. GobyWeb makes it possible to analyze hundreds of samples in consistent ways without having to use command line tools. GobyWeb provides tools that streamline frequent data analyses for RNA-Seq, Methyl-Seq, RRBS, or DNA-Seq datasets and to enable teams of investigators to share reads and results of analyses. GobyWeb can be extended for new analyses by developing plugins.

Proper citation: GobyWeb (RRID:SCR_005443) Copy   


  • RRID:SCR_005438

    This resource has 1+ mentions.

http://www.computationalbioenergy.org/qc-chain.html

A software package of quality control tools for next generation sequencing (NGS) data, consisting of both raw reads quality evaluation and de novo contamination screening, which could identify all possible contamination sequences. This QC pipeline supplies a fast, easy-to-use, and parallel processing approach to accomplish the comprehensive QC steps, which could be applied widely to almost all kinds of NGS reads, including genomic, transcriptomic and metagenomic data.

Proper citation: QC-Chain (RRID:SCR_005438) Copy   


  • RRID:SCR_005475

    This resource has 1+ mentions.

https://github.com/laserson/vdj

Python package for analysing immune receptor sequences (antibodies and T cell receptors).

Proper citation: VDJ (RRID:SCR_005475) Copy   


  • RRID:SCR_005477

    This resource has 1+ mentions.

http://carringtonlab.org/resources/cashx

Software pipeline to parse, map, quantify and manage large quantities of sequence data. CASHX is a set of tools that can be used together, or as independent modules on their own. The reference genome alignment tools can be used with any reference sequence in fasta format. The pipeline was designed and tested using Arabidopsis thaliana small RNA reads generated using an Illumina 1G.

Proper citation: CASHX (RRID:SCR_005477) Copy   


  • RRID:SCR_005505

http://sourceforge.net/p/treq/home/Home/

A software read mapper for high-throughput DNA sequencing reads, in particular one to several hundred nucleotides in length, and for large edit distance between sequencing read and match in the reference genome. It can cope particularly well with indels for single-best hit recall of 200nt reads simulated from the human reference genome. TreQ performs best at a running time comparable to BWA at large edit distance settings.

Proper citation: TreQ (RRID:SCR_005505) Copy   


  • RRID:SCR_005651

    This resource has 1+ mentions.

http://diprogb.fli-leibniz.de/

Genome browser that encodes the genome sequence by physico-chemical dinucleotide properties such as stacking energy, melting temperature or twist angle. Analyses can be performed for the + and ?, as well as for the double strand.

Proper citation: DiProGB (RRID:SCR_005651) 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. RRID Portal Resources

    Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID 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 RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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 RRID 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