As previously announced, GenBank and other INSDC members will expand the accession formats used for sequencing projects by the end of this year. We’re introducing these new formats to accommodate the growth of Whole Genome Shotgun (WGS), Transcriptome Shotgun Assembly (TSA), and Targeted Locus Study (TLS) sequencing sequences. More details about those changes are available on NCBI Insights.
You may have to adjust your code and databases to accommodate the new formats’ longer length. In particular, the first line of the flatfile format, referred to as the LOCUS line, includes the “Locus Name” (usually identical to the accession number), which may now grow to as long as 20 characters. See section 3.4.4 of the GenBank release notes for examples of how the LOCUS line might change.
Since 2003, the GenBank release notes have recommended that flatfile parsers use a whitespace-separated tokens approach to accommodate changes like the one described in section 3.4.4. If your flatfile parsers rely solely on position, you may have to make modifications. From our internal testing, it appears BioPython and BioPerl properly handle most of the examples shown in section 3.4.4, and only have issues with the last theoretical examples where the sequence length no longer ends at position 40. We do recommend adjusting code to accommodate those theoretical examples for future-proofing.
Please write to the helpdesk with any questions about the new formats.
GenBank release 227.0 (8/13/2018) has 208,831,050 traditional records including non-bulk-oriented TSA) containing 260,806,936,411 base pairs of sequence data. There are also 665,309,765 WGS records containing 3,204,855,013,281 base pairs of sequence data, 249,295,386 bulk-oriented TSA records containing 225,520,004,678 base pairs of sequence data, and 15,822,538 bulk-oriented TLS records containing 6,077,824,493 base pairs of sequence data.
By the end of 2018, GenBank and other INSDC members will expand the accession formats used for sequencing projects. We have assigned almost all the possible accession numbers using the current, shorter formats. Using these longer formats will allow us to expand accession ranges and give us greater capacity.
The expanded format for Whole Genome Shotgun (WGS), Transcriptome Shotgun Assembly (TSA), and Targeted Locus Study (TLS) sequencing projects will use a six-letter Project Code prefix and a two-digit Assembly-Version number followed by 7, 8, or 9 digits (for example, AAAAAA020000001).
Non-WGS/TLS/TSA nucleotide sequences currently use a “2+6” format, two-letter prefix followed by six digits. This format will be expanded to eight digits.
Protein sequences currently use a “3+5” accession format. By the end of 2018, this format will use seven digits.
You will need to adjust any processing methods to accommodate these new identifier formats. Please write to the helpdesk with any questions about the new formats.
GenBank release 225.0 (4/14/2018) has 208,452,303 traditional records (including non-bulk-oriented TSA) containing 260,189,141,631 base pairs of sequence data. In addition, there are 621,379,029 WGS records containing 2,784,740,996,536 base pairs of sequence data, 227,364,990 TSA records containing 205,232,396,043 base pairs of sequence data, and 14,782,654 TLS records containing 5,612,769,448 base pairs of sequence data.
During the 60 days between the close dates for GenBank releases 224.0 and 225.0, the traditional portion of GenBank grew by 6,558,433,533 base pairs and by 1,411,748 sequence records. During that same period, 86,960 records were updated – an average of 24,978 records added or updated per day.
A paper in the January 2018 issue of Database describes the NCBI BioCollections database, a curated dataset of metadata for culture collections, museums, herbaria and other natural history collections connected to sequence records in GenBank. The BioCollections database was established to allow the association of specimen vouchers and related sequence records to their home institutions. This process also allows back-linking from the home institution for quick identification of all records originating from each collection.
The rapidly growing set of GenBank submissions frequently includes records that are derived from specimen vouchers. Correct identification of the specimens studied, along with a method to associate the sample with its institution, is critical to the outcome of related studies and analyses.
New repository records are added to the database if they are submitted to the International Nucleotide Sequence Database Collaboration (INSDC) along with sequence data. Each record now provides information about the institution that houses the collection, standard Institution Code, mailing address, and associated webpage if available.
The BioCollections database is maintained and curated by the Taxonomy group at NCBI.
GenBank release 224.0 (2/13/2018) has 207,040,555 traditional records (including non-bulk-oriented TSA) containing 253,630,708,098 base pairs of sequence data.
In addition, there are 564,286,852 WGS records containing 2,608,532,210,351 base pairs of sequence data, 214,324,264 TSA records containing 193,940,551,226 base pairs of sequence data, and 12,819,978 TLS records containing 4,531,966,831 base pairs of sequence data.
The 2018 Nucleic Acids Research database issue features several papers from NCBI staff that cover the status and future of databases including CCDS, ClinVar, GenBank and RefSeq. These papers are also available on PubMed. To read an article, click on the PMID number listed below.
GenBank release 223.0 (12/15/2017) has 206,293,625 traditional records (including non-bulk-oriented TSA) containing 249,722,163,594 base pairs of sequence data. In addition, there are 551,063,065 WGS records containing 2,466,098,053,327 base pairs of sequence data, 201,559,502 TSA records containing 181,394,660,188 base pairs of sequence data, and 12,695,198 TLS records containing 4,458,042,616 base pairs of sequence data.
NCBI now offers a flu sequence submission wizard that makes submissions easier and will provide you with accession numbers sooner. To get started, sign in to NCBI, go to the Submission Portal and choose the link for “Ribosomal RNA (rRNA), rRNA-ITS or Influenza sequences” from the GenBank section.