Do You Upload Both Forward and Reverse Sequences for Eacg Gene on Genbank
Abstract
GenBank® (world wide web.ncbi.nlm.nih.gov/genbank/) is a comprehensive database that contains publicly available nucleotide sequences for 400 000 formally described species. These sequences are obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects, including whole genome shotgun and ecology sampling projects. Most submissions are made using BankIt, the National Center for Biotechnology Information (NCBI) Submission Portal, or the tool tbl2asn. GenBank staff assign accession numbers upon data receipt. Daily data exchange with the European Nucleotide Archive and the Dna Data Bank of Japan ensures worldwide coverage. GenBank is accessible through the NCBI Nucleotide database, which links to related data such as taxonomy, genomes, protein sequences and structures, and biomedical periodical literature in PubMed. Nail provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. Recent updates include changes to sequence identifiers, submission wizards for 16S and Flu sequences, and an Identical Poly peptide Groups resources.
INTRODUCTION
GenBank (i) is a comprehensive public database of nucleotide sequences and supporting bibliographic and biological annotations. GenBank is congenital and distributed by the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM), located on the campus of the United states National Institutes of Health (NIH) in Bethesda, MD, USA.
NCBI builds GenBank primarily from submissions of sequence data from authors and from bulk submissions of whole-genome shotgun (WGS) and other high-throughput data from sequencing centers. The US Patent and Trademark Office likewise contributes sequences from issued patents. GenBank participates with the EMBL-EBI European Nucleotide Archive (ENA) (2) and the DNA Data Banking concern of Nippon (DDBJ) (3) as a partner in the International Nucleotide Sequence Database Collaboration (INSDC) (4). The INSDC partners exchange data daily to ensure that a uniform and comprehensive collection of sequence information is bachelor worldwide. NCBI makes GenBank data bachelor at no toll through the Cyberspace, FTP and a broad range of web-based retrieval and assay services (five).
RECENT DEVELOPMENTS
Changes to sequence identifiers
Equally first described in the release notes for GenBank 199.0 in December 2013, and discussed in more than detail previously (1), NCBI is phasing out the practice of assigning GI numbers every bit sequence identifiers. As fourth dimension progresses, we will no longer assign GI numbers to a gradually growing number of new sequences. (Current examples of such sequences are unannotated contigs in WGS and TSA projects.) In November 2016, we removed GI numbers from the default flat file presentations and FASTA definition lines of sequence data records, whether obtained from the spider web, API calls, or the NCBI FTP site. GenBank release 217 was the last release to incorporate GI numbers in the standard flat file distribution. Going forrard, sequence records with existing GI numbers volition retain them in XML and Abstract Syntax Notation One (ASN.1) formats, and NCBI services that accept GI numbers every bit input volition go along to be supported. The preferred identifier for sequence records is now the accretion.version. For example, the E-utilities now accept accession.version identifiers as input and tin can provide them as output when the parameter idtype is set to 'acc'.
Ribosomal RNA submission wizard
The rRNA submission wizard, part of the NCBI submission portal, now offers faster, real-time analysis to assist submitters of rRNA sequences from both prokaryotes and eukaryotes (submit.ncbi.nlm.nih.gov/genbank/help/). Prokaryotic samples can be from uncultured, environmental sources, or pure cultured strains, and tin include 16S rRNA, 23S rRNA, or 16S-23S rRNA intergenic spacers. Eukaryotic samples can include both large and small subunit rRNA, nuclear rRNA-ITS regions, and internal transcribed spacers. If samples were generated using adjacent-generation technologies, merely assembled sequences (2 or more than reads) will be accepted. Sequences submitted using the sorcerer volition be automatically processed and checked for chimeras, vector contamination, low quality sequence, and other problems.
Batch genome submissions
The NCBI submission portal now supports the submission of up to 400 genomes in a unmarried set. These genomes can exist either prokaryotic or eukaryotic, and can either exist WGS or non-WGS (merely all sequences in the batch must exist either WGS or not-WGS; mixed sets are not allowed). Viral and phage genomes are not currently accepted using this mechanism. Currently batch genome submissions have other requirements, including that all sequences in the batch belong to the same BioProject, that they have the aforementioned initial release date, and that each genome have a separate file. Nosotros are exploring the possibility of allowing batch submissions for multiple BioProjects. A complete list of requirements is available (www.ncbi.nlm.nih.gov/genbank/genomesubmit/).
Influenza submission wizard
NCBI has released a new sorcerer that supports the submission of Influenza sequences. The sorcerer accepts Influenza A, B, and C submissions, but merely sequences from one viral type may be included in a single submission. In addition to validating the data, the sorcerer produces a standard strain identifier based on submitted metadata such as the isolate, place of collection, collection date, host, and serotype. NCBI volition so annotate the submission using the influenza virus note tool (www.ncbi.nlm.nih.gov/genomes/FLU/note/), and results will be sent to the submitter, including whatsoever errors that need correcting.
Identical poly peptide groups
In 2013 NCBI introduced non-redundant poly peptide sequences (with accessions beginning with WP) that represent sets of identical proteins annotated on prokaryotic genomes (6). To analyze the relationships between these WP sequences and the set up of private Nucleotide CDS sequences they stand for, in 2014 NCBI added the 'Identical Protein Written report' to the Protein database. Now these reports have been improved and collected in a new resource called Identical Protein Groups (www.ncbi.nlm.nih.gov/ipg/). This resource includes all NCBI protein sequences, including records from INSDC, RefSeq, Swiss-Prot, and PDB, with links to nucleotide coding sequences from GenBank and RefSeq. The title of each record is derived from the 'best' sequence in each group, where the hierarchy for determining the best sequence is RefSeq > Swiss-Prot > PIR, PDB > GenBank > patent. Searches in this database can exist filtered by database source, taxonomy, and the number of sequences in the group. These reports continue to be available through the Due east-utility EFetch with &db = protein&rettype = ipg (eutils.ncbi.nlm.nih.gov).
ORGANIZATION OF THE DATABASE
GenBank divisions
GenBank assigns sequence records to diverse divisions based either on the source taxonomy or the sequencing strategy used to obtain the data. There are twelve taxonomic divisions (BCT, ENV, INV, MAM, PHG, PLN, PRI, ROD, SYN, UNA, VRL, VRT) and five high-throughput divisions (EST, GSS, HTC, HTG, STS). In improver, the PAT sectionalization contains records supplied by patent offices, the TSA division contains sequences from transcriptome shotgun assembly (TSA) projects, and the WGS segmentation contains sequences from whole genome shotgun projects. The size and growth of these divisions, and of GenBank as a whole, are shown in Tabular array i and Figure 1.
Figure i.
Figure 1.
Growth of GenBank Divisions (nucleotide base of operations-pairs)
Table ane.
Partitioning | Description | Release 221 (August 2017) | Annual increase (%)* |
---|---|---|---|
TSA | Transcriptome shotgun assembly | 167 045 663 417 | 61.55 |
BCT | Bacteria | 39 102 455 601 | 47.70 |
WGS | Whole genome shotgun data | two 242 294 609 510 | 36.96 |
VRT | Other vertebrates | 9 248 495 804 | 33.lxx |
PHG | Phages | 344 579 387 | 27.37 |
VRL | Viruses | 3 482 143 321 | 17.09 |
PLN | Plants | 16 782 598 904 | fourteen.12 |
PAT | Patent sequences | nineteen 219 724 521 | 12.21 |
SYN | Synthetic | 1 173 218 483 | 12.21 |
ENV | Environmental samples | 5 590 106 999 | 7.12 |
MAM | Other mammals | 3 872 932 998 | 6.xviii |
INV | Invertebrates | 17 226 520 457 | half dozen.07 |
PRI | Primates | eight 024 647 559 | two.85 |
HTC | High-throughput cDNA | 696 583 486 | 2.08 |
UNA | Unannotated | 208 576 | one.75 |
GSS | Genome survey sequences | 25 974 685 352 | 1.08 |
ROD | Rodents | 4 520 933 672 | 0.42 |
EST | Expressed sequence tags | 42 640 092 444 | 0.29 |
HTG | High-throughput genomic | 27 646 512 131 | 0.06 |
STS | Sequence tagged sites | 640 875 196 | 0.01 |
TOTAL | All GenBank sequences | two 635 527 587 818 | 35.52 |
Division | Clarification | Release 221 (August 2017) | Annual increase (%)* |
---|---|---|---|
TSA | Transcriptome shotgun assembly | 167 045 663 417 | 61.55 |
BCT | Bacteria | 39 102 455 601 | 47.70 |
WGS | Whole genome shotgun data | 2 242 294 609 510 | 36.96 |
VRT | Other vertebrates | 9 248 495 804 | 33.70 |
PHG | Phages | 344 579 387 | 27.37 |
VRL | Viruses | iii 482 143 321 | 17.09 |
PLN | Plants | 16 782 598 904 | 14.12 |
PAT | Patent sequences | 19 219 724 521 | 12.21 |
SYN | Synthetic | ane 173 218 483 | 12.21 |
ENV | Environmental samples | 5 590 106 999 | vii.12 |
MAM | Other mammals | 3 872 932 998 | half-dozen.18 |
INV | Invertebrates | 17 226 520 457 | 6.07 |
PRI | Primates | eight 024 647 559 | 2.85 |
HTC | Loftier-throughput cDNA | 696 583 486 | 2.08 |
UNA | Unannotated | 208 576 | one.75 |
GSS | Genome survey sequences | 25 974 685 352 | 1.08 |
ROD | Rodents | 4 520 933 672 | 0.42 |
EST | Expressed sequence tags | 42 640 092 444 | 0.29 |
HTG | High-throughput genomic | 27 646 512 131 | 0.06 |
STS | Sequence tagged sites | 640 875 196 | 0.01 |
Total | All GenBank sequences | 2 635 527 587 818 | 35.52 |
* Measured relative to Release 215 (August 2016)
Table 1.
Division | Description | Release 221 (August 2017) | Annual increment (%)* |
---|---|---|---|
TSA | Transcriptome shotgun assembly | 167 045 663 417 | 61.55 |
BCT | Leaner | 39 102 455 601 | 47.70 |
WGS | Whole genome shotgun data | ii 242 294 609 510 | 36.96 |
VRT | Other vertebrates | 9 248 495 804 | 33.lxx |
PHG | Phages | 344 579 387 | 27.37 |
VRL | Viruses | 3 482 143 321 | 17.09 |
PLN | Plants | 16 782 598 904 | xiv.12 |
PAT | Patent sequences | nineteen 219 724 521 | 12.21 |
SYN | Synthetic | one 173 218 483 | 12.21 |
ENV | Environmental samples | 5 590 106 999 | 7.12 |
MAM | Other mammals | 3 872 932 998 | vi.eighteen |
INV | Invertebrates | 17 226 520 457 | 6.07 |
PRI | Primates | 8 024 647 559 | ii.85 |
HTC | High-throughput cDNA | 696 583 486 | 2.08 |
UNA | Unannotated | 208 576 | one.75 |
GSS | Genome survey sequences | 25 974 685 352 | 1.08 |
ROD | Rodents | 4 520 933 672 | 0.42 |
EST | Expressed sequence tags | 42 640 092 444 | 0.29 |
HTG | High-throughput genomic | 27 646 512 131 | 0.06 |
STS | Sequence tagged sites | 640 875 196 | 0.01 |
TOTAL | All GenBank sequences | ii 635 527 587 818 | 35.52 |
Sectionalisation | Clarification | Release 221 (Baronial 2017) | Annual increase (%)* |
---|---|---|---|
TSA | Transcriptome shotgun assembly | 167 045 663 417 | 61.55 |
BCT | Bacteria | 39 102 455 601 | 47.70 |
WGS | Whole genome shotgun data | ii 242 294 609 510 | 36.96 |
VRT | Other vertebrates | 9 248 495 804 | 33.70 |
PHG | Phages | 344 579 387 | 27.37 |
VRL | Viruses | 3 482 143 321 | 17.09 |
PLN | Plants | 16 782 598 904 | 14.12 |
PAT | Patent sequences | 19 219 724 521 | 12.21 |
SYN | Synthetic | 1 173 218 483 | 12.21 |
ENV | Environmental samples | 5 590 106 999 | seven.12 |
MAM | Other mammals | 3 872 932 998 | six.xviii |
INV | Invertebrates | 17 226 520 457 | 6.07 |
PRI | Primates | 8 024 647 559 | 2.85 |
HTC | High-throughput cDNA | 696 583 486 | ii.08 |
UNA | Unannotated | 208 576 | one.75 |
GSS | Genome survey sequences | 25 974 685 352 | i.08 |
ROD | Rodents | 4 520 933 672 | 0.42 |
EST | Expressed sequence tags | 42 640 092 444 | 0.29 |
HTG | High-throughput genomic | 27 646 512 131 | 0.06 |
STS | Sequence tagged sites | 640 875 196 | 0.01 |
TOTAL | All GenBank sequences | 2 635 527 587 818 | 35.52 |
* Measured relative to Release 215 (August 2016)
Sequence-based taxonomy
Database sequences are classified and can be queried using a comprehensive sequence-based taxonomy (www.ncbi.nlm.nih.gov/taxonomy/) developed by NCBI in collaboration with ENA and DDBJ and with the valuable assistance of external advisers and curators (7,viii). About 400 000 formally described species are represented in GenBank, and the top species (not including those in the WGS and TSA divisions) are listed in Table 2.
Top Organisms in GenBank
Organism | Base pairs* | WGS Genomes** | Non-WGS Genomes** |
---|---|---|---|
Homo sapiens | 19 065 856 381 | 58 | 3 |
Mus musculus | x 233 714 809 | 21 | 1 |
Rattus norvegicus | 6 529 312 672 | 9 | 0 |
Bos taurus | 5 429 768 145 | 2 | 0 |
Zea mays | 5 228 306 576 | 7 | 0 |
Pig | 5 072 476 333 | xv | 0 |
Hordeum vulgare | three 235 943 623 | 7 | 0 |
Danio rerio | iii 191 032 985 | three | 1 |
Oryzias latipes | 2 836 475 665 | 2 | 3 |
Ovis canadensis | 2 590 574 434 | 0 | 1 |
Triticum aestivum | 1 944 658 425 | 12 | 1 |
Cyprinus carpio | i 836 551 064 | 1 | ane |
Escherichia coli | 1803 951 183 | 8768 | 457 |
Solanum lycopersicum | i 746 806 294 | iii | 1 |
Oryza sativa | i 642 593 575 | 18 | iv |
Apteryx australis | 1 595 510 956 | 0 | 1 |
Strongylocentrotus purpuratus | ane 436165 842 | ane | 0 |
Macaca mulatta | 1 337 270 420 | 5 | 0 |
Spirometra erinaceieuropaei | one 264 448 364 | 0 | 1 |
Xenopus tropicalis | 1250 011 608 | 1 | 0 |
Organism | Base pairs* | WGS Genomes** | Non-WGS Genomes** |
---|---|---|---|
Man sapiens | xix 065 856 381 | 58 | iii |
Mus musculus | 10 233 714 809 | 21 | 1 |
Rattus norvegicus | 6 529 312 672 | 9 | 0 |
Bos taurus | 5 429 768 145 | 2 | 0 |
Zea mays | 5 228 306 576 | vii | 0 |
Squealer | 5 072 476 333 | 15 | 0 |
Hordeum vulgare | iii 235 943 623 | 7 | 0 |
Danio rerio | iii 191 032 985 | 3 | one |
Oryzias latipes | 2 836 475 665 | 2 | 3 |
Ovis canadensis | 2 590 574 434 | 0 | 1 |
Triticum aestivum | one 944 658 425 | 12 | i |
Cyprinus carpio | 1 836 551 064 | 1 | 1 |
Escherichia coli | 1803 951 183 | 8768 | 457 |
Solanum lycopersicum | 1 746 806 294 | iii | ane |
Oryza sativa | 1 642 593 575 | eighteen | 4 |
Apteryx australis | 1 595 510 956 | 0 | i |
Strongylocentrotus purpuratus | 1 436165 842 | 1 | 0 |
Macaca mulatta | 1 337 270 420 | 5 | 0 |
Spirometra erinaceieuropaei | 1 264 448 364 | 0 | ane |
Xenopus tropicalis | 1250 011 608 | ane | 0 |
*Counts correspond to Release 221 and exclude sequences from chloroplasts, mitochondria, metagenomes, uncultured organisms, WGS, and TSA.
**Counts are every bit of xvi October 2017 and include all INSDC genomes.
Organism | Base of operations pairs* | WGS Genomes** | Non-WGS Genomes** |
---|---|---|---|
Man sapiens | 19 065 856 381 | 58 | 3 |
Mus muscle | x 233 714 809 | 21 | i |
Rattus norvegicus | six 529 312 672 | 9 | 0 |
Bos taurus | 5 429 768 145 | two | 0 |
Zea mays | 5 228 306 576 | 7 | 0 |
Hog | five 072 476 333 | 15 | 0 |
Hordeum vulgare | 3 235 943 623 | 7 | 0 |
Danio rerio | 3 191 032 985 | 3 | 1 |
Oryzias latipes | two 836 475 665 | two | three |
Ovis canadensis | 2 590 574 434 | 0 | 1 |
Triticum aestivum | 1 944 658 425 | 12 | 1 |
Cyprinus carpio | 1 836 551 064 | 1 | 1 |
Escherichia coli | 1803 951 183 | 8768 | 457 |
Solanum lycopersicum | ane 746 806 294 | iii | 1 |
Oryza sativa | one 642 593 575 | 18 | 4 |
Apteryx australis | 1 595 510 956 | 0 | 1 |
Strongylocentrotus purpuratus | ane 436165 842 | ane | 0 |
Macaca mulatta | ane 337 270 420 | 5 | 0 |
Spirometra erinaceieuropaei | 1 264 448 364 | 0 | 1 |
Xenopus tropicalis | 1250 011 608 | 1 | 0 |
Organism | Base pairs* | WGS Genomes** | Non-WGS Genomes** |
---|---|---|---|
Homo sapiens | 19 065 856 381 | 58 | 3 |
Mus musculus | 10 233 714 809 | 21 | 1 |
Rattus norvegicus | vi 529 312 672 | ix | 0 |
Bos taurus | 5 429 768 145 | 2 | 0 |
Zea mays | 5 228 306 576 | 7 | 0 |
Grunter | v 072 476 333 | xv | 0 |
Hordeum vulgare | 3 235 943 623 | 7 | 0 |
Danio rerio | 3 191 032 985 | three | 1 |
Oryzias latipes | 2 836 475 665 | 2 | 3 |
Ovis canadensis | ii 590 574 434 | 0 | i |
Triticum aestivum | 1 944 658 425 | 12 | 1 |
Cyprinus carpio | 1 836 551 064 | i | i |
Escherichia coli | 1803 951 183 | 8768 | 457 |
Solanum lycopersicum | 1 746 806 294 | 3 | 1 |
Oryza sativa | 1 642 593 575 | 18 | 4 |
Apteryx australis | ane 595 510 956 | 0 | 1 |
Strongylocentrotus purpuratus | ane 436165 842 | 1 | 0 |
Macaca mulatta | 1 337 270 420 | five | 0 |
Spirometra erinaceieuropaei | 1 264 448 364 | 0 | i |
Xenopus tropicalis | 1250 011 608 | 1 | 0 |
*Counts correspond to Release 221 and exclude sequences from chloroplasts, mitochondria, metagenomes, uncultured organisms, WGS, and TSA.
**Counts are as of xvi October 2017 and include all INSDC genomes.
Sequence identifiers
Each GenBank record, consisting of both a sequence and its annotations, is assigned a unique identifier called an accession number that is shared beyond the iii collaborating databases (GenBank, DDBJ, ENA). The accretion number appears on the Accession line of a GenBank record and remains constant over the lifetime of the record, even when at that place is a change to the sequence or annotation. Changes to the sequence data itself are tracked past an integer suffix of the accession number, and this Accession.version identifier appears on the VERSION line of the GenBank flat file. Beginning with an initial version of '.1', each modify to the sequence data causes the version suffix to increment. The accession portion of the identifier remains unchanged and will e'er retrieve the well-nigh recent version of the tape; the older versions remain available nether the old accession.version identifiers. The Revision History report, available from the 'Brandish Settings' carte on the default tape view in the Nucleotide database (www.ncbi.nlm.nih.gov/nuccore/), summarizes the various updates for a given record, including non-sequence changes. A similar arrangement tracks changes in the respective protein translations in the Protein database (www.ncbi.nlm.nih.gov/protein/). These identifiers appear every bit qualifiers for CDS features in the FEATURES portion of a GenBank entry, e.yard. /protein_id = 'AAF14809.ane'.
GenBank uses a somewhat different system of accession.version identifiers for WGS, TSA, and Targeted Loci Study (TLS) sequences. These data are generally submitted as large project sets, and each project is given a 'master' record with an accession.version consisting of a 4-letter of the alphabet prefix followed by 8 zeroes (or ix if the gear up contains more than 1 million sequences) and a version suffix. Main records incorporate no sequence information; rather, they include links to displays of the individual sequences in the Sequence Set Browser (come across below). The private sequence records within a project accept accessions consisting of the same four-letter prefix as their master accession, followed past a two-digit version number and a half dozen-digit (or vii-digit) integer ID. For example, the WGS accession number 'AAAA02002744' is assigned to sequence number '002744' of the second version of project 'AAAA', whose accession number is 'AAAA00000000.2'. TSA projects have accessions first with 'Yard', 'H' and 'I', while TLS projects have accessions beginning with 'Chiliad'.
Unverified sequences
Equally reported previously (nine), as part of the standard review process for new submissions, GenBank staff may characterization sequences as unverified if the accuracy of the submitted sequence data or annotations cannot be confirmed. Until the submitter is able to resolve these problems, the definition line of the sequence will begin with 'UNVERIFIED:' and the sequence volition non exist included in BLAST databases. This handling is being extended to genomic submissions where the source organism is uncertain, in that location is evidence of contamination, or at that place are other problems with the data. In addition to the UNVERIFIED label in the definition line, a short description of the issues will be entered in the COMMENT field of the record.
Citing GenBank records
Besides beingness the primary identifier of a GenBank sequence record, GenBank accession.version identifiers are also the most efficient and reliable way to cite a sequence record in publications. Considering searching with a GenBank accretion number (without the version suffix) will retrieve the most recent version of a record, the data returned from such searches will change over time if the record is updated. Therefore, sequence data retrieved today by an accession may exist dissimilar from that discussed or analyzed in a paper published several years ago. We therefore encourage submitters and other authors to include the version suffix when citing a GenBank accession (eastward.g. AF000001.5), since this ensures that the citation refers to a specific version in time.
Edifice THE DATABASE
The information in GenBank and the collaborating databases, ENA and DDBJ, are submitted by investigators to i of the three databases. Information are exchanged daily betwixt GenBank, DDBJ and ENA so that daily updates from NCBI servers incorporate the about recently available sequence data from all sources.
Straight electronic submission
Most all records enter GenBank every bit directly electronic submissions (world wide web.ncbi.nlm.nih.gov/genbank/), with the majority of authors using BankIt or the NCBI Submission Portal (submit.ncbi.nlm.nih.gov). Many journals crave authors with sequence data to submit the data to a public sequence database as a condition of publication. On average it takes two days for GenBank staff to assign an accretion number to a sequence submission, merely this tin vary depending on the complexity of the submission, with full genomes often requiring more than time. GenBank staff assign approximately 3500 accessions per day. The accession number serves as confirmation that the sequence has been submitted and provides a means for readers of manufactures in which the sequence is cited to call up the data. Direct submissions receive a quality assurance review that includes checks for vector contamination, proper translation of coding regions, correct taxonomy, and correct bibliographic citations. A draft of the GenBank record is passed back to the author for review before information technology enters the database.
Authors may ask that their sequences be kept confidential until the fourth dimension of publication. Since GenBank policy requires that the deposited sequence data exist made public when the sequence or accession number is published, authors are instructed to inform GenBank staff of the publication appointment of the article in which the sequence is cited in social club to ensure a timely release of the data. Although only the submitter is permitted to modify sequence data or annotations, all users are encouraged to report lags in releasing data or possible errors or omissions to GenBank at update@ncbi.nlm.nih.gov.
Submission using BankIt
About a tertiary of author submissions are received through an NCBI spider web-based data submission tool named BankIt (www.ncbi.nlm.nih.gov/WebSub/?tool=genbank). Using BankIt, authors enter sequence information and biological annotations directly into a series of tabbed forms that allow the submitter to describe the sequence farther without having to learn formatting rules or controlled vocabularies. Using BankIt, submitters can submit sets of sequences besides as single sequences. Additionally, BankIt allows submitters to upload source and annotation information using tab-delimited tables. Before creating a typhoon record in the GenBank flat file format for the submitter to review, BankIt validates the submissions by flagging many common errors and checking for vector contagion using a variant of Smash chosen Vecscreen.
Submission using the Submission Portal
The NCBI Submission Portal (submit.ncbi.nlm.nih.gov) is a centralized arrangement that supports submissions of prokaryotic and eukaryotic genomes and a growing number of specialized sequence types, such every bit ribosomal RNA, TSA, and Sequence Read Archive (SRA). For example, the portal accepts WGS and TSA information in FASTA format using a prepare of online forms. In addition, the Submission Portal allows submitters to manage BioProject and BioSample submissions while also submitting genome or SRA information. The portal provides links to several submission wizards, aid documentation and submission templates. Equally mentioned to a higher place, NCBI continues to add together wizards to this interface to assistance mutual submission cases.
Submission using tbl2asn
NCBI works closely with sequencing centers to ensure timely incorporation of bulk information into GenBank for public release. For such large-calibration sequencing groups, GenBank offers special batch procedures to facilitate information submission, including the control line programme tbl2asn, described at world wide web.ncbi.nlm.nih.gov/genbank/tbl2asn2.html. Using tbl2asn, submitters can convert a tabular array of annotations generated from an note pipeline into an ASN.1 tape suitable for submission to GenBank. These files for WGS genome and TSA submissions are and then transmitted to GenBank through the Submission Portal. A version of tbl2asn chosen table2asn_GFF also accepts data in the GFF3 format (ftp.ncbi.nih.gov/toolbox/ncbi_tools/converters/by_program/table2asn_GFF).
Notes on particular sequence types
Environmental sample sequences (ENV)
The ENV division of GenBank accommodates sequences obtained using environmental sampling methods in which the sequence is derived direct from the isolate. Records in the ENV partitioning contain 'ENV' keywords and utilise an '/environmental_sample' qualifier in the source characteristic. Environmental sample sequences are more often than not submitted for whole metagenomic shotgun sequencing experiments or surveys of sequences from targeted genes, like 16S rRNA. NCBI continues to support BLAST searches (see beneath) of metagenomic ENV sequences, but sequences within WGS projects are now part of the WGS Blast database.
Whole genome shotgun sequences
Users should be aware that annotations on WGS project sequences may not be tracked from ane assembly version to the side by side, and so should exist considered preliminary. Submitters of genomic sequences, including WGS sequences, are urged to utilise evidence tags of the form '/experimental = text' and '/inference = Blazon:text', where Type is a standard inference blazon and text consists of structured text. Annotations are not required for complete genomes, but we encourage submitters to request that the genome be annotated by NCBI'southward Prokaryotic Genome Annotation Pipeline (www.ncbi.nlm.nih.gov/genome/annotation_prok/) earlier beingness released. As office of the bacterial genome submission process, GenBank performs an boilerplate nucleotide identity (ANI) analysis to investigate whether the asserted organism proper name may be incorrect. The analysis compares the submitted genome to all genome assemblies in GenBank from type strains for the reported species. If a new genome has an extremely loftier ANI and coverage to a blazon strain from a species other than that reported, GenBank volition notify the submitter and press to change the organism proper name for the submitted genome. Since the analysis uses genomes already in GenBank, it cannot necessarily be performed if GenBank does not have a genome assembly from a type strain for the submitted species.
Transcriptome shotgun assembly (TSA) sequences
The TSA division contains TSA sequences that are assembled from raw sequence reads deposited in the SRA. While SRA is not part of GenBank, information technology is part of the INSDC and provides access to the data underlying these assemblies (10). TSA records have 'TSA' as their keyword and can be retrieved with the query 'tsa[properties]' in the Nucleotide database.
Targeted locus studies (TLS)
Targeted locus studies oft comprise large sets of 16S rRNA sequence or ultra-conserved elements (UCEs). Similar to TSA records, TLS sequences are given a 'TLS' keyword and tin be retrieved with the query 'tls[properties]' in the Nucleotide database. TLS records vest to the advisable taxonomic GenBank division, and currently all TLS records are in either the VRT, INV or ENV divisions.
Anti-microbial resistance data
As part of the NCBI Pathogen Detection project, NCBI accepts submissions of beta-lactamase sequences as supplementary data for either genome submissions or submissions of novel beta-lactamase sequences (world wide web.ncbi.nlm.nih.gov/pathogens/submit_beta_lactamase/). Beta-lactamase antibiograms should also be submitted, and these will be linked to the BioSample tape associated with the submission (world wide web.ncbi.nlm.nih.gov/biosample/docs/beta-lactamase/).
RETRIEVING GENBANK DATA
The Entrez system
The sequence records in GenBank are accessible through the NCBI Entrez retrieval system (eleven). Records from the EST and GSS divisions of GenBank are stored in the EST and GSS databases, while all other GenBank records are stored in the Nucleotide database. GenBank sequences that are part of population or phylogenetic studies are also collected together in the PopSet database, and conceptual translations of CDS sequences annotated on GenBank records are available in the Protein database. Each of these databases is linked to the scientific literature in PubMed and PubMed Cardinal. Additional information nigh conducting Entrez searches is found in the NCBI Aid Manual (www.ncbi.nlm.nih.gov/books/NBK3831/) and links to related tutorials are provided on the NCBI Learn page (www.ncbi.nlm.nih.gov/home/learn.shtml).
Sequence set browser
As discussed above, a growing number of GenBank records do non have a GI identifier. In such cases, these records are not indexed in Entrez Nucleotide and so cannot be retrieved from the Nucleotide database. For such records, which include many WGS, TLS, and TSA projects, NCBI provides the Sequence Set Browser to support retrieval of these records (www.ncbi.nlm.nih.gov/Traces/wgs/). This interface serves both as a browser that can restrict a list of projects past facets such equally taxonomy, source, and BioProject ID, and as well every bit a downloading tool that can provide either metadata tables or actual sequence data from selected projects. While these 'GI-less' sequences are not in Entrez Nucleotide, the primary records for WGS, TLS, and TSA projects are indexed in Nucleotide and have, at the bottom of their record pages, links to the corresponding set of contigs in the Sequence Set Browser. Protein records derived from these GI-less sequences are included in the new Identical Protein Groups resource (see in a higher place), and thus are also accessible through the Entrez system.
Importance of associating sequence records with sequencing projects
NCBI strongly encourages submitters to register large-calibration sequencing projects in the BioProject database (www.ncbi.nlm.nih.gov/bioproject). Doing so allows the sequence collection to be represented past a unique project identifier, enabling reliable linkage between sequencing projects and the data they produce. Another do good is that submitters can include a relevant grant in their BioProject that tin can and then appear in their My Bibliography. A 'DBLINK' line appearing in GenBank flat files identifies the sequencing projects associated with a GenBank sequence record. In addition, sequence records may have a link to the BioSample database (12) that provides boosted information about the biological materials used in the written report. Such studies include genome wide association studies, high-throughput sequencing, microarrays, and epigenomic analyses. As an instance, the TSA project GBJS contains DBLINK lines that associate the GenBank sequence tape with BioProject record PRJNA255770 and BioSample tape SAMN02928618 likewise as the 2 SRA records containing the raw data, SRR1522120 and SRR1522122:
-
BioProject: PRJNA255770
-
BioSample: SAMN02928618
-
Sequence Read Archive: SRR1522120, SRR1522122
While these BioProject identifiers are valuable in representing sequence collections, nosotros would nevertheless recommend that when citing sequence information, as discussed above, it is preferable to utilize accession.version identifiers to maximize clarity.
In improver to the DBLINK lines for BioProject and BioSample, GenBank records that correspond genome assemblies will also have a link to the respective tape in the Associates database (13). Associates records not but collect metadata and statistics for these genome assemblies, but also provide a stable accretion for the assembly forth with a link to the FTP directory containing the sequence data for the assembly in GenBank, FASTA and GFF3 formats.
Nail sequence-similarity searching
Sequence-similarity searches are the virtually central and frequent type of analysis performed on GenBank information. NCBI offers the Smash family of programs (blast.ncbi.nlm.nih.gov) to detect similarities between a query sequence and database sequences (14,xv). BLAST searches may exist performed on the NCBI Web site (16) or by using a prepare of standalone programs distributed by FTP (5). Users should be enlightened that, because of the enormous diversity of available nucleotide sequence, it is not possible to search all NCBI sequence information at once. Rather, in that location are several Nail databases, each suited to a particular type of sequence (Table 3).
Selected BLAST nucleotide databases*
Table 3.
Database | Contents |
---|---|
nt | Taxonomic GenBank divisions |
env_nt | ENV division |
tsa_nt | TSA partition |
wgs | WGS sequences |
16SMicrobial | Bacterial and archaeal 16S rRNA |
Database | Contents |
---|---|
nt | Taxonomic GenBank divisions |
env_nt | ENV partitioning |
tsa_nt | TSA division |
wgs | WGS sequences |
16SMicrobial | Bacterial and archaeal 16S rRNA |
Tabular array 3.
Database | Contents |
---|---|
nt | Taxonomic GenBank divisions |
env_nt | ENV sectionalisation |
tsa_nt | TSA division |
wgs | WGS sequences |
16SMicrobial | Bacterial and archaeal 16S rRNA |
Database | Contents |
---|---|
nt | Taxonomic GenBank divisions |
env_nt | ENV division |
tsa_nt | TSA division |
wgs | WGS sequences |
16SMicrobial | Bacterial and archaeal 16S rRNA |
Obtaining GenBank by FTP
NCBI distributes GenBank releases in the traditional flat file format as well as in the ASN.1 format used for internal maintenance. The full bimonthly GenBank release forth with daily updates, which incorporate sequence data from ENA and DDBJ, is bachelor by anonymous FTP from NCBI at ftp.ncbi.nlm.nih.gov/genbank. The full release in apartment file format is available equally a ready of compressed files with a non-cumulative set of updates at ftp.ncbi.nlm.nih.gov/genbank/daily-nc/. For convenience in file transfer, the data are partitioned into multiple files; for release 221 there are 2932 files requiring 841 GB of uncompressed disk storage. A script is provided in ftp.ncbi.nlm.nih.gov/genbank/tools/ to catechumen a set of daily updates into a cumulative update.
MAILING ADDRESS
GenBank, National Center for Biotechnology Information, Building 45, Room 6AN12D-37, 45 Center Bulldoze, Bethesda, MD 20892, USA.
ELECTRONIC ADDRESSES
world wide web.ncbi.nlm.nih.gov - NCBI Home Page.
gb-sub@ncbi.nlm.nih.gov - Submission of sequence data to GenBank.
update@ncbi.nlm.nih.gov - Revisions to, or notification of release of, 'confidential' GenBank entries.
info@ncbi.nlm.nih.gov - General information most NCBI resource.
CITING GENBANK
If you lot utilise the GenBank database in your published enquiry, we enquire that this article be cited.
FUNDING
Funding for open access charge: Intramural Research Program of the National Institutes of Wellness, National Library of Medicine.
Disharmonize of interest statement. None declared.
REFERENCES
i.
Benson
D.A.
, Cavanaugh M. Clark K. Karsch-Mizrachi I. Lipman D.J. Ostell J. Sayers E.W.
GenBank
.
Nucleic Acids Res.
2017
;
45
:
D37
–
D42
.
2.
Toribio
A.L.
, Alako B. Amid C. Cerdeno-Tarraga A. Clarke L. Cleland I. Fairley Southward. Gibson R. Goodgame North. Ten Hoopen P.
European Nucleotide Archive in 2016
.
Nucleic Acids Res.
2017
;
45
:
D32
–
D36
.
3.
Mashima
J.
, Kodama Y. Fujisawa T. Katayama T. Okuda Y. Kaminuma E. Ogasawara O. Okubo One thousand. Nakamura Y. Takagi T.
DNA Information Bank of Japan
.
Nucleic Acids Res.
2017
;
45
:
D25
–
D31
.
iv.
Cochrane
M.
, Karsch-Mizrachi I. Takagi T.
International Nucleotide Sequence Database, C.
The International Nucleotide Sequence Database Collaboration
.
Nucleic Acids Res.
2016
;
44
:
D48
–
D50
.
5.
NCBI Resource Coordinators
Database Resource of the National Center for Biotechnology Data
.
Nucleic Acids Res.
2017
;
45
:
D12
–
D17
.
6.
NCBI Resource Coordinators
Database resources of the National Center for Biotechnology Data
.
Nucleic Acids Res.
2014
;
42
:
D7
–
D17
.
seven.
Federhen
S.
The NCBI Taxonomy database
.
Nucleic Acids Res.
2012
;
40
:
D136
–
D143
.
eight.
Federhen
S.
Type textile in the NCBI Taxonomy Database
.
Nucleic Acids Res.
2015
;
43
:
D1086
–
D1098
.
nine.
Benson
D.A.
, Karsch-Mizrachi I. Clark K. Lipman D.J. Ostell J. Sayers East.W.
GenBank
.
Nucleic Acids Res.
2012
;
40
:
D48
–
D53
.
10.
Kodama
Y.
, Shumway M. Leinonen R.
The Sequence Read Annal: explosive growth of sequencing information
.
Nucleic Acids Res.
2012
;
40
:
D54
–
D56
.
11.
Schuler
M.D.
, Epstein J.A. Ohkawa H. Kans J.A.
Entrez: molecular biology database and retrieval organization
.
Methods Enzymol.
1996
;
266
:
141
–
162
.
12.
Barrett
T.
, Clark K. Gevorgyan R. Gorelenkov V. Gribov E. Karsch-Mizrachi I. Kimelman Chiliad. Pruitt K.D. Resenchuk S. Tatusova T.
BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata
.
Nucleic Acids Res.
2012
;
40
:
D57
–
D63
.
13.
Kitts
P.A.
, Church D.M. Thibaud-Nissen F. Choi J. Hem 5. Sapojnikov V. Smith R.G. Tatusova T. Xiang C. Zherikov A.
Assembly: a resource for assembled genomes at NCBI
.
Nucleic Acids Res.
2016
;
44
:
D73
–
D80
.
14.
Altschul
S.F.
, Madden T.Fifty. Schaffer A.A. Zhang J. Zhang Z. Miller West. Lipman D.J.
Gapped Boom and PSI-BLAST: a new generation of protein database search programs
.
Nucleic Acids Res.
1997
;
25
:
3389
–
3402
.
15.
Zhang
Z.
, Schaffer A.A. Miller W. Madden T.50. Lipman D.J. Koonin E.Five. Altschul S.F.
Protein sequence similarity searches using patterns equally seeds
.
Nucleic Acids Res.
1998
;
26
:
3986
–
3990
.
16.
Boratyn
G.M.
, Camacho C. Cooper P.Due south. Coulouris G. Fong A. Ma N. Madden T.L. Matten W.T. McGinnis S.D. Merezhuk Y.
BLAST: a more efficient report with usability improvements
.
Nucleic Acids Res.
2013
;
41
:
W29
–
W33
.
Published by Oxford University Press on behalf of Nucleic Acids Research 2017.
This work is written by (a) Us Regime employee(s) and is in the public domain in the US.
Source: https://academic.oup.com/nar/article/46/D1/D41/4621329