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

Search

Type in a keyword to search

On page 2 showing 21 ~ 40 out of 174 results
Snippet view Table view Download 174 Result(s)
Click the to add this resource to a Collection

Authors: Benjamin Bolduc
Group: Sullivan Lab, iVirus
Summary: Mapping metagenomic reads from Ocean Sampling Day (OSD) 2014 against NCBI's ViralRefSeq alongside viral sequences identified from the Tara Oceans survey using VirSorter.

Proper citation: Benjamin Bolduc 2016. Mapping Metagenomic Reads to Reference Sequences (Cyverse). protocols.io https://dx.doi.org/10.17504/protocols.io.eyibfue Copy   

  •   Source:

Authors: Gary Trubl, Natalie Solonenko
Group: Sullivan Lab
Summary: Protocol for resuspending viruses from soils and sediments.

Proper citation: Gary Trubl, Natalie Solonenko 2017. Soil viral extraction protocol for ssDNA & dsDNA viruses. protocols.io https://dx.doi.org/10.17504/protocols.io.hvxb67n Copy   

  •   Source:

Authors: Jennifer Brum
Group: VERVE Net, Sullivan Lab
Summary: Purpose: This protocol describes how to negatively or positively stain viruses that have been deposited onto TEM grids so that they can be imaged using transmission electron microscopy (TEM). Positive staining stains the virus itself such that the virus is dark against a lighter background (Figure 1A). This is the easiest staining to do and yields results suitable for analyzing the morphological diversity of viruses from aquatic samples. Negative staining relies on some stain remaining around the edges of a virus such that the details of the virus are clearly defined (Figure 1B). Negative staining is more difficult and is used to obtain publication quality micrographs of viruses.Note: To deposit viruses onto the grids prior to staining, use either the “Adsorbing Viruses onto TEM Grids” protocol or the “Quantitatively Depositing Viruses onto TEM Grids” protocol. Grids should be stained immediately after depositing viruses onto them.

Proper citation: Jennifer Brum 2016. Positive and Negative Staining of Viruses on TEM Grids. protocols.io https://dx.doi.org/10.17504/protocols.io.day2fv Copy   

  •   Source:

Authors: Jennifer Brum
Group: VERVE Net, Sullivan Lab
Summary: Purpose: This protocol describes how to analyze a natural aquatic virus sample using transmission electron microscopy (TEM). The purpose is to obtain the capsid diameter distributions of the viral assemblage, tail length distributions of the viral assemblage, and percentages of each viral morphotype in a sample.Note: Prior to using this protocol, deposit viruses from your sample onto a TEM grid using the protocol “Quantitatively Depositing Viruses onto TEM Grids” then stain the viruses using the protocol “Positive and Negative Staining of Viruses on TEM Grids”.

Proper citation: Jennifer Brum 2016. Analysis of Viral Morphological Characteristics. protocols.io https://dx.doi.org/10.17504/protocols.io.dde23d Copy   

  •   Source:

Authors: Li Deng, Bonnie T. Poulos, Matthew B. Sullivan
Group: VERVE Net, Sullivan Lab
Summary: AbstractOcean viruses are abundant, ubiquitous, and play important roles in global biogeochemical cycles through mortality, horizontal gene transfer and manipulation of host metabolism. However, the ability to link viruses to their hosts in a high-throughput manner bottlenecks our ability to understand virus-host interactions in complex communities. Here, we present viral tagging (VT), a method that combines mixtures of isotope labeled host cells and fluorescent viruses with flow cytometry. In a single experiment, we can screen 107 uncultivated ocean viruses with a single strain of Synechococcus. These viruses can then be sequenced to quantitatively link objectivelydefined environmental viral populations, and their genomes, to their hosts.

Proper citation: Li Deng, Bonnie T. Poulos, Matthew B. Sullivan 2016. Obtaining targeted metagenomes from uncultivated environmental Synechococcus using flow cytometry-based viral tagging. protocols.io https://dx.doi.org/10.17504/protocols.io.c6zzf5 Copy   

  •   Source:

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab
Summary: The following are media recipes necessary for isolating and maintaining Synechococcus isolates.

Proper citation: Matthew Sullivan 2016. Media recipes for Synechococcus isolates. protocols.io https://dx.doi.org/10.17504/protocols.io.c9jz4m Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.c6czav

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab

Proper citation: Matthew Sullivan 2016. Colony PCR Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.c6czav Copy   

  •   Source:

Authors: Benjamin Bolduc
Group: Sullivan Lab, iVirus
Summary: Preparing data for use in vContact by using VirSorted Ocean Sampling Day (2014) contigs, using tools available in Cyverse. This protocol creates a BLAST DB, BLASTs sequences, and creates a gene-to-contig mapping file. Results from this protocol are suitable for vContact-PCs.

Proper citation: Benjamin Bolduc 2018. Preparing Data for vContact from Proteins (Cyverse). protocols.io https://dx.doi.org/10.17504/protocols.io.wigfcbw Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.dbq2mv

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab

Proper citation: Matthew Sullivan 2016. YTSS Medium. protocols.io https://dx.doi.org/10.17504/protocols.io.dbq2mv Copy   

  •   Source:

Authors: Li Deng
Group: VERVE Net, Sullivan Lab

Proper citation: Li Deng 2016. SYBR Gold working solutions. protocols.io https://dx.doi.org/10.17504/protocols.io.c7azid Copy   

  •   Source:

Authors: Benjamin Bolduc, Simon Roux
Group: Sullivan Lab, iVirus
Summary: Cluster genomes is script that clusters genomes at a set nucleotide identity and coverage length. Additonally, it offers the ability to cluster sequences whose ends may not align correspondingly, i.e. the special cases of assembled, circular viral genomes that are treated as 'linear' by other sequence-clustering software (that can "miss" the ends).This is 'beta-like' software that has been vetted, though has not been as thoroughly tested as other widely-recognized clustering tools, such as CD-HIT, UCLUST, etc... As with all software, please examine the final results to see if they make sense.

Proper citation: Benjamin Bolduc, Simon Roux 2017. Clustering Viral Genomes in iVirus. protocols.io https://dx.doi.org/10.17504/protocols.io.gwebxbe Copy   

  •   Source:

Authors: Li Deng & Jennifer Brum
Group: VERVE Net, Sullivan Lab

Proper citation: Li Deng & Jennifer Brum 2016. SYBR Gold Staining for viral enumeration using 13 mm Anodisc 0.02 ?m filters. protocols.io https://dx.doi.org/10.17504/protocols.io.c7cziv Copy   

  •   Source:

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab
Summary: Last optimized January 2006, updated by Matt on March 16 2009

Proper citation: Matthew Sullivan 2016. Large Volume Marine Cyanophage Phage Purification. protocols.io https://dx.doi.org/10.17504/protocols.io.c3iykd Copy   

  •   Source:

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab

Proper citation: Matthew Sullivan 2016. FISH Protocol for FISH & FLOW. protocols.io https://dx.doi.org/10.17504/protocols.io.dfe3jd Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.c7dzi5

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab
Summary: The usefulness of cesium chloride (CsCl) step gradients and continuous gradients for the separation of viruses is based on the differing buoyant densities of viruses, bacteria, and extracellular debris. This protocol provides a method for Cesium Chloride and DNA Extraction for Viruses (See guidelines for DNA Extraction).

Proper citation: Matthew Sullivan 2016. Cesium Chloride Gradients. protocols.io https://dx.doi.org/10.17504/protocols.io.c7dzi5 Copy   

  •   Source:

Authors: Benjamin Bolduc
Group: Sullivan Lab
Summary: Identifying putative viral sequences from SPAdes-assembled data from the Ocean Sampling Day (2014) metagenomic datasets using VirSorter.

Proper citation: Benjamin Bolduc 2016. Identifying Viral Sequences Using VirSorter (Cyverse). protocols.io https://dx.doi.org/10.17504/protocols.io.ev2be8e Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.ddj24m

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab
Summary: For One-step growth curves for Cellulophaga phages protocol.

Proper citation: Matthew Sullivan 2016. Centrifuged Sample Steps. protocols.io https://dx.doi.org/10.17504/protocols.io.ddj24m Copy   

  •   Source:

Authors: Adriana Alberti
Group: VERVE Net, Sullivan Lab
Summary: Protocol for preparation of short single and paired-end libraries from genomic dsDNA starting from low DNA quantity (up to 10 ng) for Illumina sequenincg. Developed by Adriana Alberti at Genoscope.

Proper citation: Adriana Alberti 2016. Low input Library Preparation for Illumina Sequencing. protocols.io https://dx.doi.org/10.17504/protocols.io.ddq25v Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.dew3fd

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab

Proper citation: Matthew Sullivan 2016. Host Range Protocols. protocols.io https://dx.doi.org/10.17504/protocols.io.dew3fd Copy   

  •   Source:

  • DOI: DOI:10.17504/protocols.io.c84zyv

Authors: Matthew Sullivan
Group: VERVE Net, Sullivan Lab
Summary: For use in Wet-mount Method for Enumeration of Aquatic Viruses

Proper citation: Matthew Sullivan 2016. Working Bead Solution. protocols.io https://dx.doi.org/10.17504/protocols.io.c84zyv Copy   

  •   Source:


Can't find your Protocol?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. If you want to find a specific protocol and you know the DOI of the protocol already, it's easier to enter a DOI to search. You can refine the search results using Facets on the left side of the search results page. If you are on the table view, you can also search in a specific column by clicking the column title and enter the keywords.

If you still could not find your protocol in the search results, please help us by adding it into the system — it's easy. Create and publish your protocols at Protocols.io.

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