The GENCODE Genes track (version M34, Jan 2024) shows high-quality manual annotations merged with evidence-based automated annotations across the entire human genome generated by the GENCODE project. By default, only the basic gene set is displayed, which is a subset of the comprehensive gene set. The basic set represents transcripts that GENCODE believes will be useful to the majority of users.
The track includes protein-coding genes, non-coding RNA genes, and pseudo-genes, though pseudo-genes are not displayed by default. It contains annotations on the reference chromosomes as well as assembly patches and alternative loci (haplotypes).
The following table provides statistics for the VM34 release derived from the GTF file that contains annotations only on the main chromosomes. More information on how they were generated can be found in the GENCODE site.
GENCODE VM34 Release Stats Genes Observed Transcripts Observed Protein-coding genes 21,414 Protein-coding transcripts 58,405 Long non-coding RNA genes 15,131 - full length protein-coding 44,774 Small non-coding RNA genes 6,105 - partial length protein-coding 13,631 Pseudogenes 13,754 Nonsense mediated decay transcripts 7,235 Immunoglobulin/T-cell receptor gene segments 701 Long non-coding RNA loci transcripts 27,111 Total No of distinct translations 44,781 Genes that have more than one distinct translations 10,833
For more information on the different gene tracks, see our Genes FAQ.
By default, this track displays only the basic GENCODE set, splice variants, and non-coding genes. It includes options to display the entire GENCODE set and pseudogenes. To customize these options, the respective boxes can be checked or unchecked at the top of this description page.
This track also includes a variety of labels which identify the transcripts when visibility is set to "full" or "pack". Gene symbols (e.g. NIPA1) are displayed by default, but additional options include GENCODE Transcript ID (ENSMUST00000052204.6), UCSC Known Gene ID (uc009hdu.3), UniProt Display ID (Q8BHK1). Additional information about gene and transcript names can be found in our FAQ.
This track, in general, follows the display conventions for gene prediction tracks. The exons for putative non-coding genes and untranslated regions are represented by relatively thin blocks, while those for coding open reading frames are thicker.
Coloring for the gene annotations is based on the annotation type:
This track contains an optional codon coloring feature that allows users to quickly validate and compare gene predictions. There is also an option to display the data as a density graph, which can be helpful for visualizing the distribution of items over a region.
The GENCODE VM34 track was built from the GENCODE downloads comprehensive gene annotation (all regions) file
gencode.vM34.chr_patch_hapl_scaff.annotation.gff3.gz
. Data from other sources
were correlated with the GENCODE data to build association tables.
The GENCODE Genes transcripts are annotated in numerous tables, each of which is also available as a downloadable file.
One can see a full list of the associated tables in the Table Browser by selecting GENCODE Genes from the track menu; this list is then available on the table menu.
GENCODE Genes and its associated tables can be explored interactively using the REST API, the Table Browser or the Data Integrator. The genePred format files for mm39 are available from our downloads directory or in our GTF download directory. All the tables can also be queried directly from our public MySQL servers, with more information available on our help page as well as on our blog.
The GENCODE Genes track was produced at UCSC from the GENCODE comprehensive gene set using a computational pipeline developed by Jim Kent and Brian Raney. This version of the track was generated by Jonathan Casper.
Frankish A, Carbonell-Sala S, Diekhans M, Jungreis I, Loveland JE, Mudge JM, Sisu C, Wright JC, Arnan C, Barnes I et al. GENCODE: reference annotation for the human and mouse genomes in 2023. Nucleic Acids Res. 2023 Jan 6;51(D1):D942-D949. PMID: 36420896; PMC: PMC9825462
A full list of GENCODE publications is available at The GENCODE Project web site.
GENCODE data are available for use without restrictions.