Import tracks

Tracks (see Tracks) are imported in a special way, because extra information is needed in order to interpret the files correctly.

Tracks are imported using:         click Import (Image Next_Folder_16_n_p) in the Toolbar | Tracks This will open a dialog as shown in figure 6.2.

Image importtracks_step1
Figure 6.2: Select files to import.

At the top, you select the file type to import. Below, select the files to import. If import is performed with the batch option selected, then each file is processed independently and separate tracks are produced for each file. If the batch option is not selected, then variants for all files will be added to the same track (or tracks in the case VCF files including genotype information). The formats currently accepted are:

This is the standard fasta importer that will produce a sequence track rather than a standard fasta sequence. Please note that this could also be achieved by importing using Standard import and subsequently converting the sequence or sequence list to a track (see Converting data to tracks and back).

A GFF2/GTF file does not contain any sequence information, it only contains a list of various types of annotations. A GVF file is similar to a GFF file but uses Sequence Ontology to describe genome variation data (see For these formats, the importer adds the annotation in each of the lines in the file to the chosen sequence, at the position or region in which the file specifies that it should go, and with the annotation type, name, description etc. as given in the file. However, special treatment is given to annotations of the types CDS, exon, mRNA, transcript and gene. For these, the following applies:
  • A gene annotation is generated for each gene_id. The region annotated extends from the leftmost to the rightmost positions of all annotations that have the gene_id (gtf-style).
  • CDS annotations that have the same transcriptID are joined to one CDS annotation (gtf-style). Similarly, CDS annotations that have the same parent are joined to one CDS annotation (gff-style).
  • If there is more than one exon annotation with the same transcriptID these are joined to one mRNA annotation. If there is only one exon annotation with a particular transcriptID, and no CDS with this transcriptID, a transcript annotation is added instead of the exon annotation (gtf-style).
  • Exon annotations that have the same parent mRNA are joined to one mRNA annotation. Similarly, exon annotations that have the same parent transcript, are joined to one transcript annotation (gff-style).
Note that genes and transcripts are linked by name only (not by position, ID etc).

For a comprehensive source of genomic annotation of genes and transcripts, we refer to the Ensembl web site at On this page, you can download GTF files that can be used to annotate genomes for use in other analyses in the workbench. You can also read more about these formats at, and

A GFF3 file contains a list of various types of annotations that can be linked together with "Parent" and "ID" tags. Learn more about how the workbench handles GFF3 format in GFF3 format.

This is the file format used for variants by the 1000 Genomes Project and it has become a standard format. Read about VCF format here Learn how to access data at Learn more about how the workbench handles VCF format in VCF format.

Simple format for annotations. Read more at This format is typically used for very simple annotations, for example target regions for sequence capture methods.
The Wiggle format as defined by UCSC (, is used to hold continuous data like conservation scores, GC content etc. When imported into the CLC Genomics Workbench, a graph track is created. An example of a popular Wiggle file is the conservation scores from UCSC which can be download for human from

UCSC variant database table dump
Table dumps of variant annotations from the UCSC can be imported using this option. Mainly files ending with .txt.gz on this list can be used: Please note that importer is for variant data and is not a general importer for all annotation types. This is mainly intended to allow you to import the popular Common SNPs variant set from UCSC. The file can be downloaded from the UCSC web site here: Other sets of variant annotation can also be downloaded in this format using the UCSC Table Browser.

COSMIC variation database
This lets you import the COSMIC database, which is a well-known publicly available primary database on somatic mutations in human cancer. The file can be downloaded from the UCSC web site here:, Users must first register to download the database. Import the file as a track. Through Import->Tracks we support certain COSMIC databases in tsv format that can be manually downloaded from the COSMIC ftp site:

  • COSMIC Complete mutation data: CosmicCompleteTargetedScreensMutantExport.tsv

  • COSMIC Mutation Data (Genome Screens): CosmicGenomeScreensMutantExport.tsv

  • COSMIC Mutation Data : CosmicMutantExport.tsv

  • All Mutations in Census Genes : CosmicMutantExportCensus.tsv

Please see Annotation and variant formats for more information on how different formats (e.g. VCF and GVF) are interpreted during import in CLC format. For all of the above, zip files are also supported. Please note that for human data, there is a difference between the UCSC genome build and Ensembl/NCBI for the mitochondrial genome. This means that for the mitochondrial genome, data from UCSC should not be mixed with data from other sources (see Most of the data above is annotation data and if the file includes information about allele variants (like VCF, Complete Genomics and GVF), it will be combined into one variant track that can be used for finding known variants in your experimental data. When the data cannot be recognized as variant data, one track is created for each annotation type. Genome / gene annotation tracks can be automatically imported from relevant databases as described here:

For all types of files except fasta, you need to select a reference track as well. This is because most the annotation files do not contain enough information about chromosome names and lengths which are necessary to create the appropriate data structures.