NCBI is pleased to announce ongoing enhancements to submission of SARS-CoV-2 assembled genomes to GenBank, including a streamlined workflow on the web and a new API option. Both new options mean that you can receive accessions for SARS-CoV-2 data submissions more quickly!
A streamlined workflow with improved interface and enhanced validation on both web and API saves you time and effort and, most importantly, makes it possible to get SARS-CoV-2 accession numbers and public release of data within hours. In addition, we automatically annotate all SARS-CoV-2 genomes to produce standardized, consistent annotation which saves you time and benefits researchers who find your data valuable. Continue reading “New GenBank submission options for SARS-CoV-2 submitters”→
We recently announced that we made all of the Sequence Read Archive (SRA) publicly available on two cloud platforms. This archive of genetic sequences is a treasure trove of information and the cloud environments provide high-performance computing capabilities via a GCP or AWS account – right from your own device. High-throughput sequencing has made generating data extremely fast and inexpensive, which has fueled the rapid growth of SRA. Putting it on the cloud makes it possible to analyze “the high-throughput, unassembled sequence data, across all such sequences”.
So, what are some of the potential discoveries that await? To investigate some of the possibilities, we have held a series of codeathons to see if known and unknown viruses could be found lurking within SRA cloud datasets. Spoiler alert – they are! And just recently, a team from Stanford reported that they were able to identify a 2019-nCoV-like Coronavirus in pangolins by examining data sets identified via a meta-metagenomic search of SRA and downloaded using the SRA Toolkit. One challenge this team faced was downloading the datasets: 2.5TB corresponding to approximately 1013 bases took over 48 hours to gather. How might cloud-based SRA tools have made this task easier/faster? Here’s how:
BigQuery: allows native cloud programmatic access to and search based on SRA metadata in the cloud. SRA Toolkit enables retrieval and reading of sequencing files from the SRA datasets in the cloud and writing files into the same format, respectively.
Coming soon to the cloud are tools for large scale BLAST processing for a Read Alignment and Annotation Pipeline Tool (RAPT). These tools allow the data to be analyzed directly in the cloud, eliminating the need for download to local storage for analysis.
Also in the works is a mechanism to provide better access to taxonomic content of SRA runs as calculated by NCBI tools.
We are continually adding new functionality to better support your cloud workflows and are happy to help! Contact us at email@example.com if you have questions or need help getting started. If you need assistance setting up GCP or AWS, please follow the steps in our how-to videos on YouTube.
As the global health emergency around the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, formerly 2019-nCoV) continues, we continue to play a key role in providing the biomedical community free and easy access to genome sequences from the coronavirus. You can quickly access these data through the NCBI search (Figure 1).Figure 1. NCBI search results for the term “SARS-COV-2” showing the schematic map of the viral assembly and annotation and buttons that link to the data in the NCBI Virus resource, a specialized BLAST page that searches Betacoronavirus sequences, and the reference assembly download. The bottom panel provides links to the CDC website for COVID-19 information and a link to GenBank®/SRA sequence data.
When there is an outbreak of dengue fever in the world, it’s critical that viral genomic sequence data be submitted by researchers and made available to analyze as soon as possible. You can now submit Dengue virus sequences to GenBank using a new workflow (Figure 1) in the Submission Portal designed to help make these data available as soon as possible. The streamlined process, similar to the one described in a previous post for animal mitochondrial COX1 sequences, has an improved interface, enhanced validation, and automatic annotation that saves you time and effort.
Figure 1. The Submission Portal pages for targeted sequence submission workflows. Top panel. The new submission page for entering the workflow. Bottom panel. Submission Portal page with the Dengue virus submission option selected (boxed in red). The service has options for other targeted submissions including mitochondrial COX1 from multicellular animals (metazoa), ribosomal RNA (rRNA), rRNA-ITS, Influenza virus, and Norovirus sequences.
This update is part of a larger and ongoing effort to consolidate GenBank submissions in a central location. In addition to Dengue virus data, you can also submit Influenza A, B, C and Norovirus sequences as well as other targeted sequences including mitochondrial COX1 genes from multicellular animals (metazoa), ribosomal RNA (rRNA), and rRNA-ITS through the options on the Submission Portal. You should submit other types of sequence data including other virus sequences to GenBank using BankIt or tbl2ASN.
You can use the search feature on the Submission Portal to find the appropriate submission tool for your data.
Get rapid access to Wuhan coronavirus (2019-nCoV) sequence data from the current outbreak as it becomes available. We will continue to update the page with newly released data.
The complete annotated genome sequence of the novel coronavirus associated with the outbreak of pneumonia in Wuhan, China is now available from GenBank for free and easy access by the global biomedical community. Figure 1 shows the relationship of the Wuhan virus to selected coronaviruses.
Figure 1. Phylogenetic tree showing the relationship of Wuhan-Hu-1 (circled in red) to selected coronaviruses. Nucleotide alignment was done with MUSCLE 3.8. The phylogenetic tree was estimated with MrBayes 3.2.6 with parameters for GTR+g+i. The scale bar indicates estimated substitutions per site, and all branch support values are 99.3% or higher.
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).
Fast, federated indexing
Genome graphs for viruses
Approximate taxonomic analysis
Domain/HMM Boundary and Taxonomic Refinement
Bringing together approximate taxonomy and domain models
Sequence data quality metrics
We will provide the final list of projects before the codeathon starts.
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 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.Figure 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!