Tag: Next-gen sequencing (NGS)

The Sequence Read Archive slims down your data with SRA Lite

In response to your requests for compact and faster-to-deliver data, NIH’s Sequence Read Archive (SRA) now offers a new data format – SRA Lite (Figure 1).  SRA Lite supports reliable and faster data transfer, downloads, and analysis using current tools. SRA Lite replaces the submitted base quality score (BQS) with a simplified read quality score, reducing the average read size by ~60% for more efficient analysis and storage of large datasets. This format was designed to reflect improvements in next-generation sequencing that include increases in average read length and sequence coverage. Indeed, the data has improved enough that that removing some quality scores increase genotype accuracy (PMCID: PMC4439189).

Figure 1. FASTQ dumped from SRA Lite format and the SRA configuration dialog. The FASTQ has the quality score for each base set to 30 (‘?’ in the ASCII encoding).  Select “Prefer SRA Lite files with simplified base Quality scores” in the SRA configuration dialog to use SRA Lite. Continue reading “The Sequence Read Archive slims down your data with SRA Lite”

Magic-BLAST version 1.6.0 is here!

Magic-BLAST version 1.6.0 is here!

We’ve just released  a new version (1.6.0) of Magic-BLAST, the BLAST-based next-gen alignment tool, with these improvements:

  • Usage reporting — you can help improve Magic-BLAST by sharing limited information about your search. The BLAST User Manual has details on the information collected, how it is used, and how to opt-out.
  • Magic BLAST can access NCBI SRA next-gen reads from the cloud when  you use the -sra or -sra_batch options.  See the Magic-BLAST cookbook for more details.
  • NCBI taxonomy IDs are reported in SAM output if they are present in the target BLAST database.
  • You can get unaligned reads reported separately from the aligned ones by using the -out_unaligned <file name> option.  You can also select the format ( SAM, tabular, or FASTA) with the -unaligned_fmt option. The default format is the same as one for the main report .

The version 1.6.0 executables are available from the NCBI FTP site.  See the release notes , the NCBI GitHub site , and the Magic-BLAST publication for more information.

May 19 Webinar: Using the new web RAPT service to assemble and annotate prokaryotic genomes

May 19 Webinar: Using the new web RAPT service to assemble and annotate prokaryotic genomes

Join us on May 19, 2021 at 12PM eastern time to learn how to use the new  RAPT pilot service to assemble and annotate public or private Illumina genomic reads sequenced from bacterial or archaeal isolates at the click of a button. RAPT consists of two major components, the genome assembler SKESA and the Prokaryotic Genome Annotation Pipeline (PGAP), and produces an annotated genome of quality comparable to RefSeq in a couple of hours.

  • Date and time: Wed, May 19, 2021 12:00 PM – 12:45 PM EDT
  • Register

After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI webinars playlist on the NLM YouTube channel. You can learn about future webinars on the Webinars and Courses page.

December 2 Webinar: Using the new Read assembly and Annotation Pipeline Tool (RAPT) to assemble and annotate microbial genomes

December 2 Webinar: Using the new Read assembly and Annotation Pipeline Tool (RAPT) to assemble and annotate microbial genomes

Join us December 2 to learn how to use the Read assembly and Annotation Pipeline Tool (RAPT). With RAPT, you can assemble and annotate a microbial genome right out of the sequencing machine! Provide the short genomic reads or an SRA run on input, and get back the sequence annotated with a complete gene set. The assembly is built with SKESA and annotated with PGAP. In addition, RAPT also verifies the taxonomic assignment of the genome with the Average Nucleotide Identity tool. In this webinar, you will learn how you can run RAPT on your own machine or on the Google Cloud Platform.

  • Date and time: Wed, December 2, 2020 12:00 PM – 12:45 PM EST
  • Register

After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.

We want to hear from you about changes to NIH’s Sequence Read Archive data format and storage

RFI_SRA_largeNIH’s Sequence Read Archive (SRA) is the largest, most diverse collection of next generation sequencing data from human, non-human and microbial sources. Hosted by the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), SRA data is also available on the Google Cloud Platform (GCP) and Amazon Web Services (AWS) as part of the NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative.

SRA currently contains more than 36 petabytes (PB) of data and is projected to grow to 43 PB by 2023. Though the value of this resource grows with each new sample, the exponential growth experienced over the last decade (Figure 1) threatens SRA sustainability. The storage footprint is growing more costly to maintain and the data more difficult to use at scale. The situation has reached a tipping point. SRA must be refactored to support FAIR data principles into the future.

Sra_growthFigure 1. SRA data has grown exponentially over the last decade.

NIH remains committed to the SRA and hopes to establish a long-range plan for sustained resource growth. Considerations include a model wherein normalized working files without Base Quality Scores (BQS) are readily available through cloud platforms and NCBI FTP sites, and larger source files and normalized files with base quality scores will be distributed on cloud platforms based on prevalent use cases and usage demands. Further details regarding data formats are available here.

It is critical that as an SRA user, you  participate in the review and testing of proposed data formats and infrastructure by commenting on how these developments impact your data usage. NIH has prepared a Request for Information (RFI) that details planned developments and would greatly appreciate feedback from the scientific community.

Continue reading “We want to hear from you about changes to NIH’s Sequence Read Archive data format and storage”

May 20 webinar: Exploring SRA metadata in the cloud with BigQuery

May 20 webinar: Exploring SRA metadata in the cloud with BigQuery

Join us on May 20th to learn how to use Google’s BigQuery to quickly search the data from the Sequence Read Archive (SRA) in the cloud to speed up your bioinformatic research and discovery projects. BigQuery is a tool for exploring cloud-based data tables with SQL-like queries. In this webinar, we’ll introduce you to using BigQuery to mine SRA submitter-supplied metadata and the results of taxonomic analysis for SRA runs. You’ll see real-world case studies that demonstrate how to find key information about SRA runs and identify data sets for your own analysis pipelines.

  • Date and time: Wed, May 20, 2020 12:00 PM – 12:45 PM EDT
  • Register

After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.

April 8 Webinar: Accelerate genomics discovery with SRA in the cloud

April 8 Webinar: Accelerate genomics discovery with SRA in the cloud

On Wednesday, April 8, 2019 at 12 PM, NCBI staff will show you how to leverage the cloud to speed up your research and discovery. You’ll be introduced to new and existing tools and data including BigQuery, SRA Toolkit, and more. You’ll hear about real workflows in the cloud featuring an example of the work NCBI was able to accomplish in the cloud using SRA data and a case study from an SRA cloud customer

By the end of this webinar, you will know where to look for new cloud products from NCBI, access help information to get you started, and will see how to run your analyses efficiently in the cloud.

  • Date and time: Wed, Apr 8, 2020 12:00 PM – 12:45 PM EDT
  • Register

After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.

The entire corpus of the Sequence Read Archive (SRA) now live on two cloud platforms!

The National Library of Medicine (NLM) is pleased to announce that all controlled-access and publicly available data in SRA is now available through Google Cloud Platform (GCP) and Amazon Web Services (AWS). To access the data please visit our SRA in the Cloud webpage where you will find links to our new SRA Toolkit and other access methods.

The SRA data available in the two clouds currently totals more than 14 petabytes and consists of all data in the SRA format as well as some data in its original submission format.  Since May 2019, NCBI has been putting all submitted SRA data on the GCP and AWS clouds in both the submitted format and our converted SRA format. We have also been moving previously submitted original format data to the clouds and expect to complete that process in 2021. Continue reading “The entire corpus of the Sequence Read Archive (SRA) now live on two cloud platforms!”