Tag Archives: viruses

Virus hunting in the cloud codeathon, v2

Posted on by
Reply

We are pleased to announce the second installment of the Virus Hunting Codeathon that will take place from November 4-6, 2019 at the University of Maryland in College Park.

The NCBI will help run this bioinformatics codeathon, hosted by the UMIACS and CBCB at the University of Maryland. The purpose of this event is to continue develop techniques, code, and pipelines to identify known, taxonomically definable, and novel viruses from metagenomic datasets on cloud infrastructure.

This event is for researchers, including students and postdocs, who are already engaged in the use of bioinformatics data or in the development of pipelines for virological analyses from high-throughput experiments. We especially encourage people who have experience in Computational Virus Hunting or related fields to participate.  The event is open to anyone selected for the codeathon and willing to travel to College Park (see below).

TOPICS

  • Fast, federated indexing
    • Big Query
  • Metadata features
  • Genome graphs for viruses
  • Approximate taxonomic analysis
  • Domain/HMM Boundary and Taxonomic Refinement
  • Bringing together approximate taxonomy and domain models
  • Sequence data quality metrics
  • Phage-host interactions

We will provide the final list of projects before the codeathon starts.

Continue reading →

Virus hunting in the cloud: A hackathon story at ASV 2019

Posted on by
Reply

Are you going to ASV 2019?

If you are, join us in a few days for a workshop on the virus hunting hackathon we helped run earlier this year.

Session: Workshop #19: Virus Discovery

Program Number: W-19-8

Time: Sunday, July 21, 7:00 PM CDT

Location: Mayo Auditorium

In this workshop, Dr. Rodney Brister will talk about how 41 scientists from 21 organizations worked to improve the usability of SRA data, identifying datasets that included known viruses and viral signals. Not only is that information now being integrated into a public search interface, but the approach used is also being refined in future hackathons so it can be applied to all SRA datasets.

We hope to see you there!

Genome context graphic now in virus search results

Posted on by
Reply

We have a new and improved search experience for viral genes from select human pathogens. When you search  for a virus such as HIV-1 (more examples below),  you now get an interactive graphical representation of the viral genome where you can see all the annotated viral proteins in context. Clicking on the gene / protein objects allows you to access sequences, publications, and analysis tools for the selected protein. This new feature is designed to help you quickly find information relevant to your research on clinically important viruses.Virus_searchFigure 1. Top: The virus genome graphic result for a search with HIV-1 with access to analysis tools, downloads, and relevant results in the Genome and Virus resources. Bottom: The result obtained by clicking the env gene graphic, which provides links to protein and nucleotide sequences, the literature, analysis tools, and downloads.

Try it out using the following example searches and  let us know what you think!

New Norovirus GenBank Submission Service

Posted on by
1

Do you have Norovirus sequence data to submit to GenBank? Try out the newly-released improvements in our submission service for Norovirus data! The new service offers the following advantages:

  • Faster processing and shorter time to accession numbers
  • Improved user interface
  • Automatic Feature annotation
Submisssion_portal

Figure 1. The submission portal page showing the new option for submitting Norovirus data.

Begin a new Norovirus submission or see how to get started submitting other data to GenBank.

GenBank accepts a wide range of data to support scientific discovery and analysis on sequences from all branches of life.

Virus Hunting Data Science Hackathon next week in San Diego

Posted on by
1

From January 9th – 11th, the NCBI will help run a bioinformatics hackathon in Southern California hosted by the Computational Sciences Research Center at San Diego State University. We reached out to the global computational biology and virology community as part of this effort to make data more accessible.

The hackathon teams look forward to leveraging metagenomic datasets in the cloud to find data based on organismal content and update taxonomy – but most of all – hunt down new viruses!

Follow along with the event with NCBI tweets and see our work on GitHub.

NCBI to assist in Virus Hunting Data Science Hackathon January 9-11, 2019

Posted on by
3

We are pleased to announce the second installment of the SoCal Bioinformatics Hackathon. From January 9-11, 2019, the NCBI will help run a bioinformatics hackathon in Southern California hosted by the Computational Sciences Research Center at San Diego State University!

We’re specifically looking for folks who have experience in computational virus hunting or adjacent fields to identify known, taxonomically-definable and novel viruses from a few hundred thousand metagenomic datasets that we’ll put on cloud infrastructure. This event is for researchers, including students and postdocs, who are already engaged in the use of bioinformatics data or in the development of pipelines for virological analyses from high-throughput experiments. If this describes you, please apply! The event is open to anyone selected for the hackathon and willing to travel to SDSU (see below).

Continue reading →

5 NCBI articles in 2018 Nucleic Acids Research database issue

Posted on by
1

The 2018 Nucleic Acids Research database issue features several papers from NCBI staff that cover the status and future of databases including CCDS, ClinVar, GenBank and RefSeq. These papers are also available on PubMed. To read an article, click on the PMID number listed below.

Continue reading →

Introducing the new Virus Sequence Search Interface

Posted on by
4

BLAST is a powerful search tool, but often a search is just the beginning of the journey. We put ourselves in the shoes of a researcher who has just sequenced a handful of samples from the latest viral outbreak and tried to understand what information would be most useful. We also reached out to researchers in the field and asked: a) what questions do they really want to answer? and b) how can NCBI best provide the answers? Based on insights from those questions and answers, we developed the new Virus Sequence Search Interface (Fig. 1). The Search Interface is an NCBI Labs project, which means it is an experimental project, and we may modify the resource based on your feedback and experiences.

Figure 1. The Virus Sequence Selection Interface.

Figure 1. The Virus Sequence Selection Interface. The Virus Sequence Selection Interface accepts as input nucleotide and protein accessions, as well as FASTA and plain-text formatted sequences. The user selects either “Nucleotide” or “Protein,” depending on the sequence type, and selects the virus type from the pull-down menu below the text entry field.

Continue reading →

Summer 2017 NCBI Hackathon Products

Posted on by
2

This blog post is for researchers, students, and postdocs, as well as non-scientific developers, mathematicians and librarians.

This summer, we were quite busy running and cohosting hackathons. These events educate participants, allow for networking among computational biologists and produce bioinformatics software prototypes.  Read on for a review of products from our Summer 2017 hackathons.

Continue reading →

NCBI’s Virus Variation Resource Enhancements Include Standardized Search Criteria

Posted on by
Reply

NCBI’s Virus Variation resource makes it easy to find genome and protein sequences for a number of viruses – no more stumbling through multiple synonyms to find what you need. Now you can search using standardized biological criteria and intuitive pull-down menus.

Continue reading →