GenBank to GTF Converter

Our GenBank to GTF Converter is a purpose-built bioinformatics tool that transforms richly annotated GenBank records into Gene Transfer Format (GTF) files for transcriptome assembly and gene expression analysis.

While GenBank files are ideal for archival storage and comprehensive biological annotation, many downstream tools (such as HTSeq, StringTie, and Cufflinks) require a gene- and transcript-centric coordinate format. This converter bridges that gap by extracting and restructuring only the features required for quantitative and differential expression workflows.

By focusing on biologically relevant structural elements—exons, CDS regions, and start/stop codons—the tool enables a seamless transition from raw sequence annotation to functional transcriptomic analysis.

How to Use (Step-by-Step)

Convert your GenBank file to GTF in just a few seconds:

1. Upload Your File
   Click “Upload File” or drag and drop your GenBank file into the upload area.
   Alternatively, paste the file contents using the “Paste Data” option.
2. Select Input and Output Formats
   Ensure GenBank (NCBI format) is selected as the input and GTF (Gene Transfer Format) as the output.
3. Start the Conversion
   Click “Convert File” to begin. The conversion runs instantly in your browser session.
4. Download the Result
   Once processing is complete, a download link will appear. Click it to save your GTF file locally.

Conversion Logic and Key Transformations

Converting GenBank to GTF requires careful filtering and strict adherence to the GTF 2.2 specification. Unlike more permissive formats, GTF enforces mandatory attributes and a limited set of feature types.

Our converter applies the following logic:

Feature Selection

Only features relevant to transcript and protein models—such as exon and CDS—are retained. Administrative or non-structural entries (e.g., source, repeat_region) are excluded to maintain GTF compliance.

Mandatory Attribute Mapping

Each GTF record must include both gene_id and transcript_id. The converter derives these identifiers from GenBank qualifiers such as /locus_tag, /gene, and /protein_id, ensuring compatibility with downstream analysis tools.

Attribute Normalization

Non-standard GenBank qualifiers are preserved as custom attributes in the GTF attribute column. All attributes follow the required GTF syntax:
key “value”; (space-separated, double-quoted).

Coordinate Integrity

GenBank’s 1-based, inclusive coordinate system is preserved exactly. For CDS features, the correct reading frame (0, 1, or 2) is computed using the /codon_start qualifier.

Structural Simplification

Metadata such as references, taxonomy, and header information are removed. The output focuses exclusively on coordinate-based feature annotations optimized for transcriptomic pipelines.

Conversion Example

Below is a simplified example illustrating how a GenBank feature is translated into GTF format.

GenBank Input (.gbk)

FEATURES             Location/Qualifiers     gene            100..1200                     /gene="EXMP1"                     /locus_tag="LOC_001"     CDS             100..1200                     /gene="EXMP1"                     /locus_tag="LOC_001"                     /product="Example Protein"                     /protein_id="XP_123.1"

GTF Output (.gtf)

NC_000001.1  RefSeq  exon  100  1200  .  +  .  gene_id "LOC_001"; transcript_id "XP_123.1"; gene_name "EXMP1";NC_000001.1  RefSeq  CDS   100  1200  .  +  0  gene_id "LOC_001"; transcript_id "XP_123.1"; product "Example Protein";

Data Privacy & Security

We take data privacy seriously. All conversions are performed over secure, encrypted connections.

• Uploaded files are processed in memory only
• No files are stored permanently on our servers
• Temporary data is deleted immediately after conversion or download
• We never access, share, or claim ownership of your genomic data

Your research remains private and fully under your control.

Support Our Work

We are dedicated to providing free, reliable, and high-quality bioinformatics tools for the global research community.

If this converter supports your work, please consider sharing it with colleagues or citing it in your workflow documentation. Your feedback helps us improve accuracy, expand format support, and refine our conversion engines.

For bug reports or feature requests, feel free to contact us.