To make it easier for you to find and access Sequence Read Archive (SRA) data, we are re-organizing and improving our cloud storage systems. Beginning April 2023, we will move the SARS-CoV-2 normalized data and source files from the COVID-19 data buckets on Amazon Web Services (AWS) and Google Cloud Platform (GCP) to the NIH … Continue reading Streamlining Access to SRA COVID-19 Datasets on the Cloud →
Effective June 2023, the HomoloGene records will redirect to the Datasets Gene Table Do you use HomoloGene to view and download data? You can now access updated homology data from NCBI Datasets through the Datasets Gene Table with connections to NCBI Orthologs. Go directly from a HomoloGene record to the Datasets Gene Table that will … Continue reading New Way to View and Download Related Genes →
This workshop concluded on July 21, 2022. The workshop materials are available here. As they diverge from a common ancestor, species accumulate differences in their DNA sequences. Differences within a protein-coding region are classified in two types. Non-synonymous substitutions change the amino acid sequence of the protein, while synonymous substitutions do not. Synonymous substitutions are largely invisible to natural … Continue reading An Introduction to Molecular Evolutionary Analysis with NCBI Datasets and Python →
Join NCBI’s Nuala O’Leary, PhD at the 2022 Galaxy Community Conference (GCC2022), July 17-23 in Minneapolis, Minnesota, to learn more about Datasets, a new resource that makes it easier to access NCBI sequence data. GCC2022 brings together hundreds of researchers, trainers, tool developers, software engineers, and computational infrastructure providers, all addressing common challenges in data … Continue reading NCBI at 2022 Galaxy Community Conference →
Announcing a new feature in NCBI Datasets: the gene table. To access it, start from the human species page (Figure 1) and click View all genes to view a table of all human genes. Figure 1: Human species page. Click “View all genes” to view a table of human genes.
Virtual Talks, September 14, 2023 NCBI will be presenting virtually at the Biodiversity Genomics Academy 2023 (BGA23) on September 14, 2023. Our short, interactive talks will focus on NCBI Datasets and the Comparative Genome Viewer (CGV). Both resources are part of the NIH Comparative Genomics Resource (CGR), which facilitates reliable comparative genomics analyses for all eukaryotic … Continue reading NCBI at the Biodiversity Genomics Academy 2023 (BGA23) →
To enhance machine access to biomedical literature and drive impactful analyses and reuse, the National Library of Medicine (NLM) is pleased to announce the availability of the PubMed Central (PMC) Article Datasets on Amazon Web Services (AWS) Registry of Open Data as part of AWS’s Open Data Sponsorship Program (ODP). These datasets collectively span 4 million of PMC’s 7 million … Continue reading PubMed Central Article Datasets are Now Available on the Cloud →
RefSeq release 220 is now available online and from the FTP site. You can access RefSeq data through NCBI Datasets. What’s included in this release? As of September 5, 2023, this full release incorporates genomic, transcript, and protein data containing: 391,350,361 records 289,333,423 proteins 56,423,426 RNAs sequences from 141,099 organisms
NCBI Datasets introduces species pages and species browser! The species pages summarize taxon information and provide access to genomic data, including reference genomes. For example, see Figure 1, the Nothobranchius furzeri (turquoise killifish) species page. Figure 1: Nothobranchius furzeri species page. The browse species button will take you to the species browser.
Do you currently access genome assembly data through the FTP site? We are consolidating information provided in the ASSEMBLY_REPORTS and GENOME_REPORTS directories on the genomes FTP site to simplify access and ensure that you have the most accurate, up to date, and consistently reported data. The assembly_summary files in the ASSEMBLY_REPORTS directory are gaining information … Continue reading Important Update! Changes to ASSEMBLY_REPORTS and GENOME_REPORTS on FTP →