Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
Web based service that offers software developers centralized online location to control and manage free and open source software projects. Open source software tool and business public software platform.
Proper citation: SourceForge (RRID:SCR_004365) Copy
http://mrsfast.sourceforge.net/
A cache-oblivious algorithm designed to map short reads to reference genome assemblies in a fast and memory-efficient manner. It optimizes cache usage to get higher performance. Currently Supported Features: * Mistmatches, No indels * Paired-end Mapping Mode * Discordant Paired-end Mapping Mode (to be used in conjuction with Variation Hunter)
Proper citation: mrsFAST (RRID:SCR_003128) Copy
http://mrfast.sourceforge.net/
Software designed to map short reads generated with the Illumina platform to reference genome assemblies; in a fast and memory-efficient mannerl. Currently Supported Features: * Output in SAM format * Indels up to 8 bp (4 bp deletions and 4 bp insertions) * Paired-end mapping ** Discordant option to generate mapping file ready for VariationHunter to detect structural variants. * One end anchored (OEA) map locations for novel sequence insertion detection with NovelSeq * Matepair library mapping (long inserts with RF orientation). Planned Features: * Multithreading
Proper citation: mrFAST (RRID:SCR_005487) Copy
http://compbio.cs.sfu.ca/software-novelseq
Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data.
Proper citation: NovelSeq (RRID:SCR_003136) Copy
http://mrcanavar.sourceforge.net/
Copy number caller that analyzes the whole-genome next-generation sequence mapping read depth to discover large segmental duplications and deletions. It also has the capability of predicting absolute copy numbers of genomic intervals.
Proper citation: mrCaNaVaR (RRID:SCR_003135) Copy
http://drfast.sourceforge.net/
A software which maps di-base reads (SOLiD color space reads) to reference genome assemblies in a fast and memory-efficient manner.
Proper citation: drFAST (RRID:SCR_000586) Copy
http://compbio.cs.sfu.ca/software-variation-hunter
A software tool for discovery of structural variation in one or more individuals simultaneously using high throughput technologies.
Proper citation: VariationHunter (RRID:SCR_004865) 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.
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.
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.
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.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
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.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
