Submission Portal
Submit to the world's largest public repository of biological and scientific information
What do you want to submit?
Enter a few words about your data and select an option to learn more.
GenBank
GenBank is the world's largest nucleotide archive containing sequences from all branches of life. The archive is a foundation for medical and biological discovery. Review the three GenBank submission paths below to select the appropriate option for your data.
GenBank
Use the Submission Portal-GenBank to submit assembled sequences, except for prokaryotic and eukaryotic genomes and transcriptomes. Apr 2026: Now accepts more sequence types
GenBank-Genome
Submit assembled prokaryotic and eukaryotic genomes.
GenBank-TSA
Submit computationally assembled, transcribed RNA sequences (transcriptomes) after submitting reads to SRA.
Sequence Read Archive (SRA)
SRA is the largest publicly-available repository of high throughput sequencing data. The archive accepts data from all branches of life as well as metagenomic and environmental surveys.
-
SRA
Submit unassembled, high throughput sequencing reads
Other Tools
-
GEO
Submit RNA-seq, ChIP-seq, and other types of gene expression and epigenomics datasets. Learn more
-
BioProject & BioSample
Choose a tool above if submitting sequence data. Learn more
Sequence Submission FAQ
-
An accession number in bioinformatics is a unique identifier given to a DNA or protein sequence record to allow for tracking of different versions of that sequence record and the associated sequence over time in a single data repository. Because of its relative stability, accession numbers can be utilized as foreign keys for referring to a sequence object, but not necessarily to a unique sequence. All sequence information repositories implement the concept of "accession number" but might do so with subtle variation.
-
Please read the NLM GenBank and SRA Data Processing document which describes how sequence data are processed and made available to the public, responsibilities of the data submitter, responsibilities of NCBI, and defines data status. You may write to info@ncbi.nlm.nih.gov if you have questions about your submitted data or if you have questions about the document.
Medical Genetics & Variation Tools
Submit clinical data, small & large human genomics variants, and genotype & phenotype data.