Introduction
The Wise2 form compares a protein sequence to a genomic DNA sequence, allowing for introns and frameshifting errors.
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Important Note
- There is a limit of 1MB
- PSA tool algorithms are NOT intended to produce genome synteny maps.
- We kindly ask all users of EMBL-EBI Web Services to submit tool jobs in batches of no more than 30 at a time and not to submit more until the results and processing is complete. Please ensure that a valid email address is provided. Excessive usage of a particular resource will be dealt with in accordance with EMBL-EBI's Terms of Use. Please contact us if you need further information.
How to Access GeneWise
GeneWise can be accessed via
Web Form
Web interface for GeneWise is available at : https://www.ebi.ac.uk/Tools/psa/genewise/
How to use this tool
Running a tool from the web form is a simple multiple steps process, starting at the top of the page and following the steps to the bottom.
Each tool has at least 2 steps, but most of them have more:
- The first steps are usually where the user sets the tool input (e.g. sequences, databases...)
- In the following steps, the user has the possibility to change the default tool parameters
- And finally, the last step is always the tool submission step, where the user can specify a title to be associated with the results and an email address for email notification. Using the submit button will effectively submit the information specified previously in the form to launch the tool on the server
Note that the parameters are validated prior to launching the tool on the server and in the event of a missing or wrong combination of parameters, the user will be notified directly in the form.
Step 1 - Input Sequences
First Input Sequence
The protein sequence can be entered directly into this form. The sequence can be in GCG, FASTA, GenBank, PIR, NBRF, PHYLIP or UniProtKB/Swiss-Prot format. A partially formatted sequence is not accepted. (See example input formats). Adding a return to the end of the sequence may help certain applications understand the input. Note that directly using data from word processors may yield unpredictable results as hidden/control characters may be present.
A file containing a valid protein sequence in any format (GCG, FASTA, GenBank, PIR, NBRF, Phylip or UniProtKB/Swiss-Prot) can be used as input for the sequence comparison. (See example input formats). Word processors files may yield unpredictable results as hidden/control characters may be present in the files. It is best to save files with the Unix format option to avoid hidden Windows characters.
Second Input Sequence
The DNA sequence to be compared can be entered directly into the form. The sequence must be in a recognised format eg. GCG, FASTA, EMBL or GenBank. Partially formatted sequences are not accepted. (See example input formats). Adding a return to the end of the sequence may help certain applications understand the input. Note that directly using data from word processors may yield unpredictable results as hidden/control characters may be present. There is a limit of 1MB for the sequence entry.
Second Sequence File Upload
A file containing valid a DNA sequence in any format (GCG, FASTA, EMBL or GenBank) can be used as input for the comparison. (See example input formats). Word processor files may yield unpredictable results as hidden/control characters may be present in the files. It is best to save files with the Unix format option to avoid hidden Windows characters. There is a limit of 1MB for the sequence entry.
Step 2 - Set alignment options
Show Parameters
Show parameters in the output alignmment, as in genewise.
Values: ON / OFF
Default value is: ON [true]
Pretty ASCII
Show pretty ASCII alignment viewing, as in genewise.
Values: ON / OFF
Default value is: ON [true]
Gene Structure
Show gene structure, as in genewise
Values: ON / OFF
Default value is: ON [true]
Protein Translation
Show protein translation, breaking at frameshifts.
Values: ON / OFF
Default value is: ON [true]
cDNA
Show cDNA, as in genewise.
Values: ON / OFF
Default value is: ON [true]
EMBL Feature Table
EMBL feature table format with CDS key.
Values: ON / OFF
Default value is: ON [true]
Ace File Gene Structure
Show Ace file gene structure, as in genewise.
Values: ON / OFF
Default value is: ON [true]
GFF Output
Show Gene Feature Format file, as in genewise.
Values: ON / OFF
Default value is: ON [true]
EMBL Feature For diana
Show EMBL FT format suitable for diana.
Values: ON / OFF
Default value is: ON [true]
Local/Global Mode
Model in local/global mode. You should only put the model in global mode if you expect your protein homolog to have homology from start to end to the gene in the DNA sequence.
Label | Abbreviation |
---|---|
Local | local |
Global | global |
Default value is: Local [local]
Splice Site
Using splice model or GT/AG? Use the full blown model for splice sites, or a simplistic GT/AG. Generally if you are using a DNA sequence which is from human or worm, then leave this on. If you are using a very different (eg plant) species, switch it off.
Label | Abbreviation |
---|---|
Modelled | model |
GT/AG only | flat |
Default value is: GT/AG only [flat]
Random (Null) Model
The probability of the model has to compared to an alternative model (in fact to all alternative models which are possible) to allow proper Bayesian inference. This causes considerable difficulty in these algorithms because from a algorithmical point of view we would probably like to use an alternative model which is a single state, like the random model in profile-HMMs, where we can simply 'log-odd' the scored model, whereas from a biological point of view we probably want to use a full gene predicting alternative model. In addition we need to account for the fact that the protein HMM or protein homolog probably does not extend over all the gene sequence, nor in fact does the gene have to be the only gene in the DNA sequence. This means that there are very good splice sites/poly-pyrimidine tracts outside of the 'matched' alignment can severely de-rail the alignment.
Label | Abbreviation |
---|---|
Synchronous model | syn |
Flat model | flat |
Default value is: Synchronous model [syn]
Algorithm
The solutions is different in the genewise21:93 compared to the genewise 6:23 algorithms. (1) In 6:23 we force the external match portions of the homology model to be identical to the alternative model, thus cancelling each other out. This is a pretty gross approximation and is sort of equivalent to the intron tie'ing. It makes things algorithmically easier... However this means a) 6:23 is nowhere near a probabilistic model and b) you really have to used a tied intron model in 6:23 otherwise very bad edge effects (final introns being ridiculously long) occur. (2) In 21:93 we have a full probabilistic model on each side of the homology segment. This is not reported in the -pretty output but you can see it in the -alb output if you like. Do not trust the gene model outside of the homology segment however. By having these external gene model parts we can use all the gene model features safe in the knowledge that if the homology segments do not justify the match then the external part of the model will soak up the additional intron/py-tract/splice site biases.
Label | Abbreviation |
---|---|
GeneWise 623 | 623 |
GeneWise 2193 | 2193 |
Default value is: GeneWise 623 [623]
Step 3 - Submission
Job title
It's possible to identify the tool result by giving it a name. This name will be associated to the results and might appear in some of the graphical representations of the results.
Email Notification
Running a tool is usually an interactive process, the results are delivered directly to the browser when they become available. Depending on the tool and its input parameters, this may take quite a long time. It's possible to be notified by email when the job is finished by simply ticking the box "Be notified by email". An email with a link to the results will be sent to the email address specified in the corresponding text box. Email notifications require valid email addresses.
Email Address
If email notification is requested, then a valid Internet email address in the form joe@example.org must be provided. This is not required when running the tool interactively (The results will be delivered to the browser window when they are ready).
Web Services
Web Services are available using REST and SOAP protocols that enable programmatic access and allow their integration into other applications and analytical workflows and pipelines.
For an introduction on how to run these clients and use them in workflows please see the webinar series.
REST API
The Representational State Transfer (REST) sample clients are provided for a number of programming languages. For details of how to use these clients, download the client and run the program without any arguments.
Language | Download | Requirements |
---|---|---|
Perl | genewise.pl | LWP and XML::Simple |
Python | xmltramp2 |
For an introduction on how to run these clients and use them in workflows please see the 'EMBL-EBI, programmatically: take a REST from manual searches' webinar series.
WADL
The WADL for the GeneWise (REST) service: http://www.ebi.ac.uk/Tools/services/rest/genewise?wadl
Tool Parameters
Parameters | Command line parameter |
---|---|
SHOW PARAMETERS | --para |
PRETTY ASCII | --pretty |
GENE STRUCTURE | --genes |
TRANSLATION | --trans |
cDNA | --cdna |
EMBL FEATURE | --embl |
ACE FILE GENE STRUCTURE | --ace |
GFF OUTPUT | --gff |
EMBL feature for Diana | --diana |
LOCAL / GLOBAL MODE | --init |
SPLICE SITE | --splice |
RANDOM (NULL) MODEL | --random |
ALOGORITHM | --alg |
SOAP API
The Simple Object Access Protocol (SOAP) sample clients are provided for a number of programming languages. For details of how to use these clients, download the client and run the program without any arguments.
WSDL
The WSDL for the GeneWise (SOAP) service: http://www.ebi.ac.uk/Tools/services/soap/genewise?wsdl
Open API Interface
https://www.ebi.ac.uk/Tools/common/tools/help/index.html?tool=genewise
Common Workflow Language
CWL (Common Workflow Language) implementation for consuming EMBL-EBI Bioinformatics Web Services tools' clients are available at https://github.com/ebi-wp/webservice-cwl
For details, see CWL Workflows page.