Now Available! Updated Bacterial and Archaeal Reference Genomes Collection

Now Available! Updated Bacterial and Archaeal Reference Genomes Collection

Download the updated bacterial and archaeal reference genome collection! We built this collection of 19,328 genomes by selecting the “best” genome assembly for each species among the 350,000+ prokaryotic genomes in RefSeq (except for E. coli for which two assemblies were selected as reference).

What’s New?
  • 413 species are represented in this collection for the first time
  • 198 species are represented by a better assembly
  • 27 species were removed because of changes in NCBI Taxonomy or uncertainty in their species assignment 

Continue reading “Now Available! Updated Bacterial and Archaeal Reference Genomes Collection”

NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!

NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!

Download release 15.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP)! Search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

What’s New?

Release 15.0 contains:

  • 16,667 HMMs maintained by NCBI
  • 279 new HMMs since release 14.0
  • Several hundreds HMMs with better names, EC numbers, Gene Ontology (GO) terms, gene symbols, or publications. 

Continue reading “NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!”

Cleaner BLAST Databases for More Accurate Results

Cleaner BLAST Databases for More Accurate Results

Removing contaminated sequences using NCBI quality assurance tools 

Do you use BLAST to identify a sequence or the evolutionary scope of a gene? That can be challenging if contaminated and misclassified sequences are in the BLAST databases and show up in your search results. To address this problem, we now use the NCBI quality assurance tools listed below to systematically remove these misleading sequences from the default nucleotide (nt) and protein (nr) BLAST databases.  Continue reading “Cleaner BLAST Databases for More Accurate Results”

Conserved Domain Database Version 3.21 Now Available!

Conserved Domain Database Version 3.21 Now Available!

Check out the newly released Conserved Domain Database (CDD) version 3.21. Updated content is available on the CDD FTP site.

What’s New?

Continue reading “Conserved Domain Database Version 3.21 Now Available!”

Browse Taxonomy Records with NCBI Datasets

Browse Taxonomy Records with NCBI Datasets

New & improved NCBI Datasets Taxonomy pages and command-line service 

NCBI Datasets is excited to introduce new features to our Taxonomy pages making it easier for you to access, browse, and download taxonomic information about organisms at any taxonomic level.  

What’s new?
  • Explore Taxonomy records with an updated look and feel  
  • Access and download taxonomic metadata from the web or with our updated command-line (CLI) tools 

Continue reading “Browse Taxonomy Records with NCBI Datasets”

New RefSeq Annotations Now Available!

New RefSeq Annotations Now Available!

In February and March, the NCBI Eukaryotic Genome Annotation Pipeline released forty-six new annotations in RefSeq!

New Annotations
  • Aedes albopictus (Asian tiger mosquito)
  • Anolis carolinensis (green anole)
  • Armigeres subalbatus (mosquito)
  • Bacillus rossius redtenbacheri (walking stick)
  • Bolinopsis microptera (comb jelly)
  • Bombyx mori (domestic silkworm)
  • Bubalus kerabau (carabao)
  • Candoia aspera (snake)
  • Cavia porcellus (domestic guinea pig) 
  • Continue reading “New RefSeq Annotations Now Available!”
Easy Access to Genetic Test Information with the NIH Genetic Testing Registry (GTR)

Easy Access to Genetic Test Information with the NIH Genetic Testing Registry (GTR)

We have made some exciting updates to the NIH Genetic Testing Registry (GTR) to give you a more modern, easier-to-navigate display of genetic test information. We encourage you to check out our latest improvements and let us know what you think. 

What’s new?

Continue reading “Easy Access to Genetic Test Information with the NIH Genetic Testing Registry (GTR)”

MedGen Users, We Want Your Feedback!

MedGen Users, We Want Your Feedback!

Do you use NCBI’s MedGen? If so, then you probably know it’s NCBI’s one-stop-shop for genetic phenotype information. If you are a healthcare provider, genetic professional, researcher, or anyone who uses MedGen, we want to hear from you to help us make this resource better meet your needs!  

We want to know: 

  • How you currently use MedGen 
  • How we can make MedGen data more useful to you 
How to provide feedback

Continue reading “MedGen Users, We Want Your Feedback!”

Changes to SRA Data Access on the Google Cloud Platform (GCP)

Changes to SRA Data Access on the Google Cloud Platform (GCP)

Sequence Read Archive (SRA) data available via the Google Cloud Platform (GCP) are migrating from multi-region to single region us-east-1. This migration is projected to be complete by May 2024. To minimize the impact of this change, we recommend updating your workflow to access SRA data in us-east-1 region as soon as conveniently possible. 

Please note this change does not impact SRA data access from Amazon Web Services (AWS) or NCBI servers  Continue reading “Changes to SRA Data Access on the Google Cloud Platform (GCP)”

Preview Upcoming Improvements to PubMed Central (PMC)

Preview Upcoming Improvements to PubMed Central (PMC)

Updated article display and journal list

Since announcing the launch of a more modern PubMed Central (PMC) website in March 2022, NLM’s NCBI continues to make improvements based on your feedback. We invite you to preview the latest improvements planned for the PMC website. These improvements will become the default in October 2024 and include an updated article display, enhanced PMC journal list, and other features to help you access information quickly and easily. Click on the “Try it out now” link in the banner on the top of any ncbi.nlm.nih.gov/pmc page to preview and experience these improvements for yourself.   Continue reading “Preview Upcoming Improvements to PubMed Central (PMC)”