The goal of GeneValidator is to identify problems with gene predictions and provide useful information based on the similarities to genes in public databases. The results produced will make provide evidence on how sequencing curation may be done and will be useful in improving or trying out new approaches for gene prediction tools. The main target of this tool are biologists who wish to validate the data produced in their labs.
If you use GeneValidator in your work, please cite us as follows:
"Dragan M, Moghul MI, Priyam A & Wurm Y (in prep.) GeneValidator: identify problematic gene predictions"
GeneValidatorApp - A Web App wrapper for GeneValidator.
GeneValidatorApp-API - An easy to use API for GeneValidatorApp to allow you to use GeneValidator within your web applications.
Currently, it is possible to run the following validations with GeneValidator
- Length validation by clusterization (a graph is dynamically produced)
- Length validation by ranking
- Check gene merge (a graph is dynamically produced)
- Check duplications
- Reading frame validation (for nucleotides)
- Main ORF validation (for nucleotides) (a graph is dynamically produced)
- Validation based on multiple alignment (a graph is dynamically produced)
It is also possible to add your own custom validations to GeneValidator.
- Ruby (>= 2.0.0)
- NCBI BLAST+ (>= 2.2.30+)
- MAFFT installation (download here).
- Mozilla FireFox - In order to dynamically produce graphs for some of the validation, GeneValidator relies on dependency called 'd3'. Unfortunately, at this moment of time, d3 only works in Firefox (download here).
Please see here for more help with installing the prerequisites.
- Type the following command in the terminal
$ gem install genevalidator
- After installing, GeneValidator can be run by typing the following command in the terminal:
USAGE:
$ genevalidator [OPTIONS] Input_File
ARGUMENTS:
Input_File: Path to the input fasta file containing the predicted sequences.
OPTIONAL ARGUMENTS
-v, --validations <String> The Validations to be applied.
Validation Options Available (separated by coma):
all = All validations (default),
lenc = Length validation by clusterization,
lenr = Length validation by ranking,
merge = Analyse gene merge,
dup = Check for duplications,
frame = Open reading frame (ORF) validation,
orf = Main ORF validation,
align = Validating based on multiple alignment
-d, --db [BLAST_DATABASE] Path to the BLAST database
GeneValidator also supports remote databases:
e.g. $ genevalidator -d "swissprot -remote" Input_File
-e, --extract_raw_seqs Produces a fasta file of the raw sequences of all BLAST hits in the
supplied BLAST output file. This fasta file can then be provided to
GeneValidator with the "-r", "--raw_sequences" argument
-j, --json_file [JSON_FILE] Generate GV results from a json file (or a subset of a json file)
produced from GeneValidator
-x [BLAST_XML_FILE], Provide GeneValidator with a pre-computed BLAST XML output
--blast_xml_file file (BLAST -outfmt option 5).
-t [BLAST_TABULAR_FILE], Provide GeneValidator with a pre-computed BLAST tabular output
--blast_tabular_file file. (BLAST -outfmt option 6).
-o [BLAST_TABULAR_OPTIONS], Custom format used in BLAST -outfmt argument
--blast_tabular_options See BLAST+ manual pages for more details
-n, --num_threads num_of_threads Specify the number of processor threads to use when running
BLAST and Mafft within GeneValidator.
-f, --fast Run BLAST on all sequences together (rather than separately)
to speed up the analysis.
However, this means that there will be a longer wait before the
results can be viewed (as GeneValidator will need to run BLAST
on all sequences before producing any results).
The speed difference will be more apparent on larger input files
-r, --raw_sequences [raw_seq] Supply a fasta file of the raw sequences of all BLAST hits present
in the supplied BLAST XML or BLAST tabular file.
-m, --mafft_bin [MAFFT_PATH] Path to MAFFT bin folder (is added to $PATH variable)
-b, --blast_bin [BLAST_PATH] Path to BLAST+ bin folder (is added to $PATH variable)
--version The version of GeneValidator that you are running.
-h, --help Show this screen.
Please type genevalidator -h
into your terminal to see this information in your terminal.
$ genevalidator -d 'Path-to-local-BLAST-db' -n 8 Input_FASTA_File
Internally, GV will run BLAST on all input sequences before analysing any sequences (instead of running BLAST on each sequence and then analysing the sequence).
$ genevalidator -d 'Path-to-local-BLAST-db' -n 8 -f Input_FASTA_File
$ blast(p/x) -db SwissProt -out Path-to-XML-file -num_threads 8 -outfmt 5 -query Input_FASTA_File
$ genevalidator -d 'local-or-remote-BLAST-db' -n 8 -x 'Path-to-XML-file' Input_FASTA_File
$ blast(p/x) -db SwissProt -out Path-to-tabular-file -num_threads 8 -outfmt "7 qseqid sseqid sacc slen qstart qend sstart send length qframe pident nident evalue qseq sseq" -query Input_FASTA_File
$ genevalidator -d 'local-or-remote-BLAST-db' -n 8 -t 'Path-to-tabular-file' -o 'qseqid sseqid sacc slen qstart qend sstart send length qframe pident evalue' Input_FASTA_File
The output produced by GeneValidator is presented in three manners.
Firstly, the output is produced as a colourful, HTML file. This file is titled 'results.html' (found in the 'html' folder) and can be opened in a web browser (please use Mozilla Firefox). This file contains all the results in an easy-to-view manner with graphical visualisations. See exemplar html output here (protein input data) and here (DNA input data).
The output is also produced in JSON. GeneValidator is able to re-generate results for any JSON files (or derived JSON files) with that were previously generated by the program. This means that you are able to use the JSON file in your own analysis pipelines and then use GeneValidator to produce the HTML output for the analysed JSON file.
Lastly, a summary of the results is also outputted in the terminal to provide quick feedback on the results.
There are numerous methods to analyse the JSON output including the streamable JSON command line program. The below examples use this tool.
After installing node:
$ npm install -g json
- Extract sequences that have an overall score of 100
$ json -f INPUT_JSON_FILE -c 'this.overall_score == 100' > OUTPUT_JSON_FILE
- Extract sequences that have an overall score of over 70
$ json -f INPUT_JSON_FILE -c 'this.overall_score > 70' > OUTPUT_JSON_FILE
- Extract sequences that have more than 50 hits
$ json -f INPUT_JSON_FILE -c 'this.no_hits > 50' > OUTPUT_JSON_FILE
- Sort the JSON based on the overall score (ascending - 0 to 100)
$ json -f INPUT_JSON_FILE -A -e 'this.sort(function(a,b) {return (a.overall_score > b.overall_score) ? 1 : ((b.overall_score > a.overall_score) ? -1 : 0);} );' > OUTPUT_JSON_FILE
- Sort the JSON based on the overall score (decending - 100 to 0)
json -f INPUT_JSON_FILE -A -e 'this.sort(function(a,b) {return (a.overall_score < b.overall_score) ? 1 : ((b.overall_score < a.overall_score) ? -1 : 0);} );' > OUTPUT_JSON_FILE