Tag: Read assembly and Annotation Pipeline Tool (RAPT)

New release of the Read Assembly and Annotation Pipeline Tool (RAPT), now 2X faster!

There is a new release of the Read assembly and Annotation Pipeline Tool (RAPT) available from our GitHub site. RAPT is a one-step application for the genome assembly and gene annotation of archaeal and bacterial isolates that can run on your local computer or the Google Cloud Platform (GCP). With this new release, jobs will run twice as fast as with the December release. For example, we have assembled and annotated a Salmonella enterica genome in under an hour on a 16-CPU machine with the new release.
We have also added several new features based on your feedback including:

  1. The –stop-on-errors flag that will stop the process if there evidence from the average nucleotide identity check that there is sample mix-up or contamination by other bacteria.
  2. The ability to accept forward and reverse reads of paired-end runs in separate files. These can be compressed (gzip) files.

Finally, thanks to all who came to our webinar in December and provided their comments! For these who couldn’t join us, you can now view the recording on our YouTube channel.

Contact us at prokaryote-tools@ncbi.nlm.nih.gov with any question and to let us know if you would like to become a beta-tester for RAPT.

NCBI on YouTube: RAPT and BLAST+ on the Cloud, SARS-CoV-2 genome data in Datasets

It’s time we do another roundup of what’s been happening on YouTube!

First up, the NCBI YouTube channel has merged with the NLM YouTube channel. You’ll now be able to find diverse content all on one channel, from tips on using resources to fascinating moments in the history of medicine and more!

Continue reading “NCBI on YouTube: RAPT and BLAST+ on the Cloud, SARS-CoV-2 genome data in Datasets”

Read assembly and Annotation Pipeline Tool (RAPT) is available for use and testing

We are excited to launch a beta version of RAPT, the Read assembly and Annotation Pipeline Tool, a one-step application for the genome assembly and gene annotation of archaeal and bacterial isolates. Start from an Illumina run in SRA or on your local machine and get a fully annotated genome!

A RAPT Docker container includes SKESA, a high-accuracy assembler for short reads, PGAP, the annotation pipeline written in the common workflow language (CWL) and used by RefSeq, and cwltool, the reference implementation for CWL. A RAPT release also includes a set of reference data that are critical for a quality annotation. RAPT can be executed with Docker, Singularity or podman on any local or remote machine meeting basic requirements. For users of the Google Cloud Platform, RAPT can be launched from the Google Shell without configuring a virtual machine in advance.

To learn more about RAPT, register for our upcoming webinar.

Questions? Interest in becoming a beta tester? Contact us!

RAPT is available here.

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.