Genes in gtf or gff format

Summary of limitations for Table Browser GTF output

The Table Browser has transcript IDs only, so although it includes both "gene_id" and "transcript_id" fields in its output, the value for transcript ID (e.g., ENST#) is used for both fields.
The Table Browser adds start and stop codon annotations whether or not the transcript alignment includes proper start and stop codons.
Some tables in older genome assemblies are not supported.
Tables not in genePred format (e.g., knownCanonical) will produce output with limited features, in addition to the other "known-limitations for Table Browser GTF output" listed here.

Example: Comparing Table Browser GTF output with genePredToGtf utility output

Table Browser output for ENST00000376819.3.

Table Browser configuration: hg38, Genes and Gene Predictions, All GENCODE V26, Basic (wgEncodeGencodeBasicV26)
Identifier pasted in: ENST00000376819.3

chr1	hg38_wgEncodeGencodeBasicV26	start_codon	11189580	11189582	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	CDS	11189580	11189955	0.000000	+	0	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	exon	11189341	11189955	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	CDS	11192270	11192370	0.000000	+	2	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	exon	11192270	11192370	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	CDS	11193580	11193774	0.000000	+	0	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	exon	11193580	11193774	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	CDS	11194461	11194659	0.000000	+	0	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	exon	11194461	11194659	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	CDS	11194854	11195020	0.000000	+	2	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	stop_codon	11195021	11195023	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3"; 
chr1	hg38_wgEncodeGencodeBasicV26	exon	11194854	11195981	0.000000	+	.	gene_id "ENST00000376819.3"; transcript_id "ENST00000376819.3";

genePredToGtf utility output

$ genePredToGtf hg38 wgEncodeGencodeBasicV26 utilityOutputBasic26.gtf

$ cat utilityOutputBasic26.gtf| grep -w ENST00000376819.3

chr1	wgEncodeGencodeBasicV26	transcript	11189341	11195981	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3";  gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	exon	11189341	11189955	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "1"; exon_id "ENST00000376819.3.1"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	CDS	11189580	11189955	.	+	0	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "1"; exon_id "ENST00000376819.3.1"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	exon	11192270	11192370	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "2"; exon_id "ENST00000376819.3.2"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	CDS	11192270	11192370	.	+	2	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "2"; exon_id "ENST00000376819.3.2"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	exon	11193580	11193774	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "3"; exon_id "ENST00000376819.3.3"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	CDS	11193580	11193774	.	+	0	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "3"; exon_id "ENST00000376819.3.3"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	exon	11194461	11194659	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "4"; exon_id "ENST00000376819.3.4"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	CDS	11194461	11194659	.	+	0	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "4"; exon_id "ENST00000376819.3.4"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	exon	11194854	11195981	.	+	.	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "5"; exon_id "ENST00000376819.3.5"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	CDS	11194854	11195020	.	+	2	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "5"; exon_id "ENST00000376819.3.5"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	start_codon	11189580	11189582	.	+	0	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "1"; exon_id "ENST00000376819.3.1"; gene_name "ANGPTL7";
chr1	wgEncodeGencodeBasicV26	stop_codon	11195021	11195023	.	+	0	gene_id "ANGPTL7"; transcript_id "ENST00000376819.3"; exon_number "5"; exon_id "ENST00000376819.3.5"; gene_name "ANGPTL7";

Convert genePred to GTF with the genePredToGtf command line utility

GenePred is a table format commonly used for gene prediction tracks in the UCSC Genome Browser. The genePredToGtf command-line utility can be used to convert genePred to GTF.

While the Table Browser does contain an option to output query results in GTF, the output is limited, and in some cases, may contain bugs. The best method to convert genePred to GTF is the genePredToGtf command-line utility. The operating-specific utility can be downloaded from the utilities directory.

Once downloaded (and permissions changed to executable), you can run the utility without arguments to see the usage statement:

$ genePredToGtf
genePredToGtf - Convert genePred table or file to gtf.
usage:
   genePredToGtf database genePredTable output.gtf
If database is 'file' then track is interpreted as a file
rather than a table in database.
options:
   -utr - Add 5UTR and 3UTR features
   -honorCdsStat - use cdsStartStat/cdsEndStat when defining start/end
    codon records
   -source=src set source name to use
   -addComments - Add comments before each set of transcript records.
    allows for easier visual inspection
Note: use a refFlat table or extended genePred table or file to include
the gene_name attribute in the output.  This will not work with a refFlat
table dump file. If you are using a genePred file that starts with a numeric
bin column, drop it using the UNIX cut command:
    cut -f 2- in.gp | genePredToGtf file stdin out.gp

Using Table Browser output as input for the genePredToGtf

You can use Table Browser output as input for the genePredToGtf utility, but you will need to check that the Table Browser output is indeed in the correct GenPred format. In some cases, you may have trailing columns that need to be removed.

For example,

From the UCSC Genome Browser, click on "Genome Browser" at the top menu bar, then select "Reset All User Settings" to refresh to the default hg38 assembly and its default position.
Go to the Table Browser, and keeping all options as default, change only 1 setting: region should be set to "position" instead of genome.
Accept the default drop-down option for "output format" as "all fields from selected table" and
Type in a name for "output file" to download your file (e.g., "knownGeneABO.txt").
Click "get output."

Note that you will have 12 columns; and you will need to remove the last two columns to get genePred format:

cat knownGeneABO.txt | cut -f1-10 > knownGeneABO.genePred

Now convert to GTF, using the "file" argument for genePredToGTF:

genePredToGtf file knownGeneABO.genePred knownGeneABO.gtf

Use genePredToGtf with a downloaded genePred table

You can directly download a table (for example, the knownGene table), which will be in genePred format. You can then use this local file as input for the genePredToGtf conversion.

ftp://hgdownload.cse.ucsc.edu/goldenPath/hg19/database/knownGene.txt.gz

The SQL structure:

ftp://hgdownload.cse.ucsc.edu/goldenPath/hg19/database/knownGene.sql

As noted in the usage message, the file can be used with the command in place of the database table specification. In this case, beware of files that are only partially genePred format. For example, the knownGene.txt.gz file has extra columns after the exonEnds column. Therefore, use cut to extract just the columns for genePred:

$ zcat knownGene.txt.gz | cut -f1-10 | genePredToGtf file stdin knownGene.gtf

Example with downloaded refGene.txt.gz

Here are detailed steps for converting a local hg19 refGene table (in genePred format) to GTF.

1. Download your gene set of interest for hg19. For this example, I'll use the refGene table, but you can choose other gene sets, such as the knownGene table from the "UCSC Genes" track.

rsync -a -P rsync://hgdownload.soe.ucsc.edu/goldenPath/hg19/database/refGene.txt.gz ./

2. Unzip

gzip -d refGene.txt.gz

3. Remove the first "bin" column:

cut -f 2- refGene.txt > refGene.input

4. Convert to gtf:

genePredToGtf file refGene.input hg19refGene.gtf

5. Sort output by chromosome and coordinate

cat hg19refGene.gtf  | sort -k1,1 -k4,4 > hg19refGene.gtf.sorted

Example output for hg19refGene.gtf.sorted:

$head hg19refGene.gtf.sorted
chr1 refGene.input exon 10002682 10002840 . - . gene_id "LZIC"; transcript_id "NM_001316973"; exon_number "7"; exon_id "NM_001316973.7"; gene_name "LZIC";
chr1 refGene.input exon 10002682 10002840 . - . gene_id "LZIC"; transcript_id "NM_001316975"; exon_number "7"; exon_id "NM_001316975.7"; gene_name "LZIC";
chr1 refGene.input exon 10002682 10002840 . - . gene_id "LZIC"; transcript_id "NM_001316976"; exon_number "5"; exon_id "NM_001316976.5"; gene_name "LZIC";
chr1 refGene.input exon 10002682 10002840 . - . gene_id "LZIC"; transcript_id "NM_032368"; exon_number "7"; exon_id "NM_032368.7"; gene_name "LZIC";
chr1 refGene.input CDS 10002739 10002793 . - 0 gene_id "LZIC"; transcript_id "NM_001316974"; exon_number "7"; exon_id "NM_001316974.7"; gene_name "LZIC";
chr1 refGene.input exon 10002739 10002840 . - . gene_id "LZIC"; transcript_id "NM_001316974"; exon_number "7"; exon_id "NM_001316974.7"; gene_name "LZIC";
chr1 refGene.input start_codon 10002791 10002793 . - 0 gene_id "LZIC"; transcript_id "NM_001316974"; exon_number "7"; exon_id "NM_001316974.7"; gene_name "LZIC";
chr1 refGene.input exon 10002981 10003083 . + . gene_id "NMNAT1"; transcript_id "NM_001297778"; exon_number "1"; exon_id "NM_001297778.1"; gene_name "NMNAT1";
chr1 refGene.input transcript 10002981 10045556 . + . gene_id "NMNAT1"; transcript_id "NM_001297778";  gene_name "NMNAT1";
chr1 refGene.input exon 10003307 10003485 . - . gene_id "LZIC"; transcript_id "NM_032368"; exon_number "8"; exon_id "NM_032368.8"; gene_name "LZIC";

Using kent commands with the public database server

To use the kent commands with the public database server, add this four line file ".hg.conf" to your home directory:

$ cat $HOME/.hg.conf
db.host=genome-mysql.cse.ucsc.edu
db.user=genomep
db.password=password
central.db=hgcentral

And set the permissions:

$ chmod 600 .hg.conf

Now you can use the command to extract GTF files directly from the UCSC database. For example, fetch the UCSC gene track from hg19 into the local file knownGene.gtf:

$ genePredToGtf hg19 knownGene knownGene.gtf

Note that this still produces incorrect GTF, where the gene_id and transcript_id match. You will either need to write a custom script to fix these fields, or use the "file" option described above on a custom knownGene table download to get correct GTF.

Bed format gene tracks (convert bed > genePred > GTF)

Some gene tracks are in a bed format in the database, perhaps with extra columns past the standard bed format. In this case, extract the standard bed columns, convert it to a genePred and then to a gtf. For example wgRna:

mysql --user=genome --host=genome-mysql.cse.ucsc.edu -A -N \
  -e "select chrom,chromStart,chromEnd,name,score,strand,thickStart,thickEnd from wgRna;" hg19 \
   | bedToGenePred stdin stdout | genePredToGtf file wgRna.gtf

Note that in the above methods, it was necessary to cut columns 1 - 10 to remove the extra trailing columns. With the method detailed here, this cut is not necessary in the case of using the database table since the command can determine from the table structure which columns to use.

Get a genePred file from UCSC MySQL public databases, then convert to GTF

Information about MySQl - http://genome.ucsc.edu/goldenPath/help/mysql.html

MySQL query example to get a genePred file:

$ mysql --host=genome-mysql.soe.ucsc.edu --user=genome -Ne "select a.name, a.chrom, a.strand, a.txStart, a.txEnd,\
a.cdsStart, a.cdsEnd, a.exonCount, a.exonStarts, a.exonEnds, 0 as score, b.geneSymbol from knownGene a join \
kgXref b on a.name=b.kgID" hg19 > hg19.genePred

Next, using the genePredToGtf utility:

genePredToGtf file hg38.genePred hg38.knownGene.gtf

genePred output will look like this:

uc001aaa.3    chr1    +    11873    14409    11873    11873    3    11873,12612,13220,    12227,12721,14409,    0    DDX11L1
uc010nxr.1    chr1    +    11873    14409    11873    11873    3    11873,12645,13220,    12227,12697,14409,    0    DDX11L1
uc010nxq.1    chr1    +    11873    14409    12189    13639    3    11873,12594,13402,    12227,12721,14409,    0    DDX11L1

Result:

chr1    hg19.genePred    transcript    11874    14409    .    +    .    gene_id "DDX11L1"; transcript_id "uc001aaa.3";  gene_name "DDX11L1";
chr1    hg19.genePred    exon    11874    12227    .    +    .    gene_id "DDX11L1"; transcript_id "uc001aaa.3"; exon_number "1"; exon_id "uc001aaa.3.1"; gene_name "DDX11L1";
chr1    hg19.genePred    exon    12613    12721    .    +    .    gene_id "DDX11L1"; transcript_id "uc001aaa.3"; exon_number "2"; exon_id "uc001aaa.3.2"; gene_name "DDX11L1";
chr1    hg19.genePred    exon    13221    14409    .    +    .    gene_id "DDX11L1"; transcript_id "uc001aaa.3"; exon_number "3"; exon_id "uc001aaa.3.3"; gene_name "DDX11L1";

The opposite direction, GTF to GenePred

There is a utility for this as well: gtfToGenePred. Here are some examples of using this utility:

$ wget ftp://ftp.sanger.ac.uk/pub/gencode/Gencode_human/release_27/gencode.v27.long_noncoding_RNAs.gtf.gz
$ gzip -cd gencode.v27.long_noncoding_RNAs.gtf.gz > gencodeLNCRNA.gtf
$ head -8 gencodeLNCRNA.gtf
##description: evidence-based annotation of the human genome (GRCh38), version 27 (Ensembl 90) - long non-coding RNAs
##provider: GENCODE
##contact: gencode-help@sanger.ac.uk
##format: gtf
##date: 2017-08-01
chr1	HAVANA	gene	29554	31109	.	+	.	gene_id "ENSG00000243485.5"; gene_type "lincRNA"; gene_name "MIR1302-2HG"; level 2; tag "ncRNA_host"; havana_gene "OTTHUMG00000000959.2";
chr1	HAVANA	transcript	29554	31097	.	+	.	gene_id "ENSG00000243485.5"; transcript_id "ENST00000473358.1"; gene_type "lincRNA"; gene_name "MIR1302-2HG"; transcript_type "lincRNA"; transcript_name "MIR1302-2HG-202"; level 2; transcript_support_level "5"; tag "not_best_in_genome_evidence"; tag "dotter_confirmed"; tag "basic"; havana_gene "OTTHUMG00000000959.2"; havana_transcript "OTTHUMT00000002840.1";
chr1	HAVANA	exon	29554	30039	.	+	.	gene_id "ENSG00000243485.5"; transcript_id "ENST00000473358.1"; gene_type "lincRNA"; gene_name "MIR1302-2HG"; transcript_type "lincRNA"; transcript_name "MIR1302-2HG-202"; exon_number 1; exon_id "ENSE00001947070.1"; level 2; transcript_support_level "5"; tag "not_best_in_genome_evidence"; tag "dotter_confirmed"; tag "basic"; havana_gene "OTTHUMG00000000959.2"; havana_transcript "OTTHUMT00000002840.1";


# BASIC USAGE
$ gtfToGenePred gencodeLNCRNA.gtf gencodeLNCRNA.genePred
$ head -1 gencodeLNCRNA.genePred
ENST00000473358.1	chr1	+	29553	31097	31097	31097	3	29553,30563,30975,	30039,30667,31097,


# EXTENDED USAGE
$ gtfToGenePred -genePredExt gencodeLNCRNA.gtf gencodeLNCRNA.genePred
head -1 gencodeLNCRNA.genePred
ENST00000473358.1	chr1	+	29553	31097	31097	31097	3	29553,30563,30975,	30039,30667,31097,	0	ENSG00000243485.5	none	none	-1,-1,-1,

For a full list of options available to gtfToGenePred, run the program with no args:

gtfToGenePred - convert a GTF file to a genePred
usage:
   gtfToGenePred gtf genePred

options:
     -genePredExt - create a extended genePred, including frame
      information and gene name
     -allErrors - skip groups with errors rather than aborting.
      Useful for getting infomation about as many errors as possible.
     -ignoreGroupsWithoutExons - skip groups contain no exons rather than
      generate an error.
     -infoOut=file - write a file with information on each transcript
     -sourcePrefix=pre - only process entries where the source name has the
      specified prefix.  May be repeated.
     -impliedStopAfterCds - implied stop codon in after CDS
     -simple    - just check column validity, not hierarchy, resulting genePred may be damaged
     -geneNameAsName2 - if specified, use gene_name for the name2 field
      instead of gene_id.
     -includeVersion - it gene_version and/or transcript_version attributes exist, include the version
      in the corresponding identifiers.

Mailing List Resources about GTF

Please also try searching our mailing list for previous answers that may be of interest.

Here is an example of searching for genePredToGtf.
Here is an example answer about using a MySQL query to build a new genePred format with a query using the kgXref (knownGene cross reference) table.

Genes in gtf or gff format

Contents

Summary of limitations for Table Browser GTF output

Example: Comparing Table Browser GTF output with genePredToGtf utility output

Convert genePred to GTF with the genePredToGtf command line utility

Using Table Browser output as input for the genePredToGtf

Use genePredToGtf with a downloaded genePred table

Example with downloaded refGene.txt.gz

Using kent commands with the public database server

Bed format gene tracks (convert bed > genePred > GTF)

Get a genePred file from UCSC MySQL public databases, then convert to GTF

The opposite direction, GTF to GenePred

Mailing List Resources about GTF

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