The University of Arizona
TCW: Transcriptome Computational Workbench
  AGCoL | TCW Home | Doc Index | singleTCW Guide | DE Guide | multiTCW Guide | Tour
TCW provides analysis and query for sequences (transcriptome, proteome), and comparison of species sequences. TCW uses Java, mySQL, optionally R, and various External packages. It has been tested on Linux and Mac.
  • TCW v4.0.1 (27-Apr-2022). Published in BioRxiv (updated May-2022). See Release Notes for recent changes.
  • This project was funded in part by National Science Foundation grant IOS-1044821.
  • All upgrades starting with TCW v1.3 have been developed by CAS without funding.
TCW packagejars, demos, external packages, R scripts
Source codeat
Summary         inputs, outputs and processing
Indexof documentation pages
runASobtain UniProt and GO for input to runSingleTCW
runSingleTCWbuild single species annotated database
runDEadd differential expression
viewSingleTCW query results of a single species database
runMultiTCWbuild multi-species comparison database
viewMultiTCWquery results of multi-species database
Recent Features
Fast searching Integration of diamond for fast annotation.
ORF finder The algorithm uses hit information and on-the-fly training for a 5th-order Markov score.
Differential Expression Users can supply a file of R commands for DE computation, or use supplied R command files.
Locations Location information (e.g. chr, start, end) can be entered.
 C. Soderlund (2022) Transcriptome computational workbench (TCW): analysis of single and comparative transcriptomes. BioRxiv
 C. Soderlund, W. Nelson, M. Willer and D. Gang. (2013) TCW: Transcriptome Computational Workbench. PLoS ONE
NSF Disclaimer
  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Figure 1: viewSingleTCW - result of a query on DE values.

Figure 2: Computed ORF using hit coordinates as a guide.

Figure 3: viewMultiTCW - dynamic programming alignment of a BBH cluster.
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