Tag: downloading data

NCBI Datasets now provides downloads of gene data for more than 30 thousand organisms

NCBI Datasets now offers Gene tables: customizable tables of the genes you specify, with key gene information, and the ability to easily download a dataset of genomic, transcript and protein sequences.

Drag and drop a list of Gene IDs or gene symbols, and the data table shows your genes with up to 15 columns of metadata, including genomic coordinates, RefSeq transcript and protein accessions, Ensembl IDs and UniProt accessions, and other gene information. You can browse and select items in your table on the web, or download everything to your computer for later analysis (Figure 1).

Figure 1. The Data tables web download. Top panel. Enter or upload a list of gene identifiers or symbols. Bottom panel. The resulting table display allows you to browse results, download the table or the sequence data for the genes (genomic, transcripts, proteins).  Continue reading “NCBI Datasets now provides downloads of gene data for more than 30 thousand organisms”

Easily download large amounts of genomic data with NCBI Datasets

Do you need to download a lot of genomic data? Maybe you need all primate reference genomes or maybe you need just a few really big genomes? Prior to the advent of NCBI Datasets, downloading such a large amount of data could be a frustrating and time consuming experience involving failed downloads and writing custom scripts.

NCBI Datasets makes large genome downloads simpler, faster, and more reliable. You don’t have to write a script. You can be sure you get all the data requested. And sharing the data is easier than ever.  Figure 1 shows an example data download process using Datasets.Datasets download process

Figure 1. Downloading and processing genomic data using NCBI Datasets. The example shows downloading the set of RefSeq primate assemblies through the Datasets web interface. Since the downloaded files would exceed 15GB, the file comes as a “dehydrated bag” — a small, easily downloaded, zipped file with metadata and links to download the data. You can “rehydrate” the unzipped dehydrated files —  fill them with the corresponding data — using the datasets command-line tool.

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The next RefSeq FTP release number will skip to 200

NCBI’s Reference Sequence (RefSeq) FTP release numbers will increment to 200 for the next release and skip over the numbers 100-199. The current, March 2020 release, is release 99. The next bi-monthly release in May 2020 will be release 200.  This change is to avoid overlapping with the release numbers of the completely independent RefSeq annotation releases for the eukaryotic genomes we annotate, which are currently in the range 100-109, for example Mus musculus Annotation Release 108. Continue reading “The next RefSeq FTP release number will skip to 200”

Important changes to the genomes FTP site in February

We have added the latest NCBI Eukaryotic Genome Annotation Pipeline results for the more than 580 species that we annotate to the genomes/refseq directory on the genomes FTP area. As we announced in December, we will stop publishing annotation results to the genus_species directories (example: genomes/Xenopus_tropicalis) on the genomes FTP site effective February 1, 2020. We will also move existing genus_species directories to genomes/archive/old_refseq during the month of February.X_t_assemblyFigure 1. The Assembly page for the Xenopus tropicalis UCB Xtro 10.0 (GCF_000004195.4) showing the blue download button. Annotation results such as the RefSeq transcript alignments that can be downloaded from the web page are now also under the genomes/refseq directory on the FTP site. The FTP path to the .bam alignment files is in red.

These FTP changes do not affect the Assembly download function. As always, you can download assembly data using the blue Download button on the web pages (Figure 1).

 

New download files and FTP directories for genome assemblies

You can now download new file types for species recently annotated by the NCBI Eukaryotic Genome Annotation Pipeline from the Assembly web pages and from the genomes/refseq FTP area. The new files types include alignments of annotated transcripts to the assembly in BAM format, all models predicted by Gnomon, and — for species that have been annotated multiple times —  files characterizing the feature-by-feature differences between the current and the previous annotation.

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Users of the SRA FTP site: Try the SRA Toolkit!

If you download data from the SRA (Sequence Read Archive) FTP site, we would encourage you to try the SRA Toolkit. This is particularly true if you use the SRA Fuse/FTP site at ftp://ftp-trace.ncbi.nlm.nih.gov/sra/sra-instant, which the SRA team will decommission on December 1, 2019.

The SRA Toolkit offers several advantages for downloading SRA data, including greater flexibility in specifying the data you need as well as access to public SRA data in the cloud. If you’re new to the Toolkit, you may want to start with these instructions.

If you have any questions or concerns about downloading SRA data, please contact sra@ncbi.nlm.nih.gov. We’d love to hear from you!

PubMed is now available for download without a license and can be updated every day!

PubMed is now available for download without a license and can be updated every day!

This blog post is directed toward PubMed users.

Did you know you can download the entire PubMed database, and keep this dataset current with our daily update files? These data are available for free from our FTP site and no longer require a license agreement,  whether you’re interested in text mining, or want to create your own database for searching and analytics.

Each year in December, NLM releases a comprehensive (baseline) set of citation records in XML format for download. Every day, incremental update files are made available and include new, revised and deleted citations. Please see the README.txt file for more information and contact info@ncbi.nlm.nih.gov with questions.

Genome data download made easy!

Genome data download made easy!

This blog post is directed toward Assembly users.

A new “Download assemblies” button is now available in the Assembly database. This makes it easy to download data for multiple genomes without having to write scripts.

For example, you can run a search in Assembly and use check boxes (see left side of screenshot below) to refine the set of genome assemblies of interest. Then, just open the “Download assemblies” menu, choose the source database (GenBank or RefSeq), choose the file type, and start the download. An archive file will be saved to your computer that can be expanded into a folder containing your selected genome data files.
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