You can now download PGAP from GitHub and run it on your machine, compute farm or the cloud, on any public or privately-owned genome. PGAP predicts genes on bacterial and archaeal genomes using the same inputs and applications used inside NCBI. This is a great opportunity for you to try it now and send us comments (please use GitHub issues).
In October last year, we announced the launch of an exciting new collaboration between NCBI and EMBL-EBI called MANE (Matched Annotation from the NCBI and EMBL-EBI). As a first step, we began generating the MANE Select set, comprising a matched representative transcript for every human protein-coding gene. Now that our genome resources are integrated into a high-quality transcript set, you don’t need to choose between RefSeq and Ensembl/GENCODE datasets for genomic analyses.
Not only does the MANE Select set make it easier for you to exchange data or translate coordinates between RefSeq and Ensembl annotation results, but you’ll also be able to use the set with NGS-based sequencing technologies and other resources that use the latest and highest-quality reference human genome assembly available.
IgBLAST is a popular NCBI package for classifying and analyzing immunoglobulin and T cell receptor variable domain sequences. We’ve released a new version of IgBLAST with three new improvements:
- The new release determines the V gene reading frame from the end of FWR3 region instead of end of V gene. This helps identify the correct reading frames for rearrangements that have insertions or deletions near the V gene end.
- The allowed distance between V gene end and J gene start has been increased to 225 bp to allow detection of ultra long D/N regions.
- The standalone program and files has been repackaged to make it easier to install.
It’s now easier to find known antimicrobial resistance (AMR) protein information at NCBI. You can search by gene symbol, protein name, or accession across NCBI databases and retrieve the best representative DNA sequence that is a reference for antimicrobial resistance genes from the National Database of Antibiotic Resistant Organisms (NDARO).
In response to the rising threat of antimicrobial resistance (AMR), NCBI built the National Database of Antibiotic Resistant Organisms (NDARO). With NDARO, you can:
- Browse a curated database of AMR genes
- Identify AMR genes in bacterial genomes with AMRFinder
- Identify bacterial genomes with AMR genes in the Isolate Browser
- Submit sequence and phenotype data related to AMR