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Tour: runSingleTCW
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runSingleTCW - Build Annotated Database of Single Species
Main Window | Additional Windows | References

runSingleTCW takes as input transcriptome and expression level files, builds a database, and annotates the transcriptomes. See sTCW UserGuide for details.

Main window

1. Build Database
  1. The input may be transcripts with optional read counts, proteins with optional spectral counts, or sequences to be assembled such as Sanger ESTs, 454 reads, and/or transcript libraries.
  2. The Add window allows you to specify the sequence dataset (fasta file) along with its conditions (e.g. tissue, treatment, etc), which will be listed under Associated Counts on the main window.
  3. If there are replicates, you may define them with the Define Replicates window.
2. Instantiate
  1. Skip Assembly - the sequences can be instantiated with no assembly.
  2. Assembly - the sequences can be assembled. If Read sequences (i.e. ESTs) are mixed with transcripts that have read counts, the EST dataset 'counts' for the contig will be the number of ESTs in the given contig, and the transcripts will retain their counts from the input.
3. Annotate
  1. Use runAS to download and format UniProts and the GO databases; these are input to (b) and (c).
  2. Add one or more databases to search against, which can be protein or nucleotide.
  3. In the Options window, define the GO database
4. Add Remarks and Locations

Remarks and Locations (i.e. chromosome, start, end, strand) can be added to sequences and queried in the viewSingleTCW.

Additional windows

Sequence Datasets

Add/Edit: Selecting Add shows this window. Selecting Edit shows a similar window, but only the Attribute values can be changed after the database has been created. The counts can be in one file or generated with the Build combined count file option. On Save, the condition names will be written in the Associated Counts table on the main window.

Build combined count file file: (window not shown) If the counts are in multiple files, this button opens up a window in which a directory of count files, or individual count files, can be entered. It will generate a file called Combined_read_count.csv where the columns are conditions with their respective counts.

Associated Counts

Define Replicates: If the Associated Counts table has replicates, they can be defined in this window, which will update the table as shown above in the Main window.

Edit Attributes: (window not shown) This window has the same attributes fields as the Add or Edit a Sequence Dataset, but will be applied to the selected condition. These can be edited after the database has been created.

 
AnnoDBs

Add/Edit: Databases to search against are referred to as "annoDBs". Any FASTA file can be used an annoDB, though TCW gives special support to using UniProt taxonomic databases; besides allowing taxonomic specific querying in viewSingleTCW, the UniProt .dat file is used to extract GO, KEGG, EC and PFam information. The runAS program provides this functionality.

As the UniProt TrEMBL databases increase in size, it has become impractical to search these with BLAST1. Fortunately, the diamond2 programs provide super fast results.

References

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  1. BLAST is used for assembly, annotation and interactive searching in viewSingleTCW.
    Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, et al. (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25: 3389-3402.
  2. Diamond can be used for annotation of blastx and blastp searches.
    Buchfink B, Xie C, Huson D (2015) Fast and Sensitive Protein Alignment using DIAMOND, Nature Methods, 12, 59-60 doi:10.1038/nmeth.3176.
  3. CAP3 is used for assembly.
    Huang X, Madan A (1999) CAP3: A DNA sequence assembly program. Genome Res 9: 868-877.
  4. UniProt is recommended for protein annotation as the GO and other information can be extracted by the TCW and added to the database.
    Dimmer EC, Huntley RP, Alam-Faruque Y, Sawford T, O'Donovan C, et al. (2012) The UniProt-GO Annotation database in 2011. Nucleic Acids Res 40: D565-570.
  5. Gene Ontology mySQL database is used for levels and descriptions.
    GO Consortium (2012) The Gene Ontology: enhancements for 2011. Nucleic Acids Res 40: D559-564.
Email Comments To: tcw@agcol.arizona.edu