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galaxy.datatypes.converters package
Submodules
galaxy.datatypes.converters.bed_to_gff_converter module
galaxy.datatypes.converters.bgzip module
galaxy.datatypes.converters.cram_to_bam module
galaxy.datatypes.converters.fasta_to_len module
Input: fasta, int Output: tabular Return titles with lengths of corresponding seq
galaxy.datatypes.converters.fasta_to_tabular_converter module
Input: fasta Output: tabular
galaxy.datatypes.converters.fastq_to_fqtoc module
- galaxy.datatypes.converters.fastq_to_fqtoc.main()[source]
The format of the file is JSON:
{ "sections" : [ { "start" : "x", "end" : "y", "sequences" : "z" }, ... ]}
This works only for UNCOMPRESSED fastq files. The Python GzipFile does not provide seekable offsets via tell(), so clients just have to split the slow way
galaxy.datatypes.converters.fastqsolexa_to_fasta_converter module
convert fastqsolexa file to separated sequence and quality files.
assume each sequence and quality score are contained in one line the order should be: 1st line: @title_of_seq 2nd line: nucleotides 3rd line: +title_of_qualityscore (might be skipped) 4th line: quality scores (in three forms: a. digits, b. ASCII codes, the first char as the coding base, c. ASCII codes without the first char.)
Usage: %python fastqsolexa_to_fasta_converter.py <your_fastqsolexa_filename> <output_seq_filename> <output_score_filename>
galaxy.datatypes.converters.fastqsolexa_to_qual_converter module
convert fastqsolexa file to separated sequence and quality files.
assume each sequence and quality score are contained in one line the order should be: 1st line: @title_of_seq 2nd line: nucleotides 3rd line: +title_of_qualityscore (might be skipped) 4th line: quality scores (in three forms: a. digits, b. ASCII codes, the first char as the coding base, c. ASCII codes without the first char.)
Usage: %python fastqsolexa_to_qual_converter.py <your_fastqsolexa_filename> <output_seq_filename> <output_score_filename>
galaxy.datatypes.converters.gff_to_bed_converter module
galaxy.datatypes.converters.gff_to_interval_index_converter module
Convert from GFF file to interval index file.
- usage:
python gff_to_interval_index_converter.py [input] [output]
galaxy.datatypes.converters.interval_to_bed_converter module
galaxy.datatypes.converters.interval_to_bedstrict_converter module
galaxy.datatypes.converters.interval_to_fli module
Creates a feature location index (FLI) for a given BED/GFF file. FLI index has the form:
[line_length]
<symbol1_in_lowercase><tab><symbol1><tab><location>
<symbol2_in_lowercase><tab><symbol2><tab><location>
...
where location is formatted as:
contig:start-end
and symbols are sorted in lexigraphical order.
galaxy.datatypes.converters.interval_to_interval_index_converter module
Convert from interval file to interval index file.
- usage: %prog <options> in_file out_file
-c, –chr-col: chromosome column, default=1 -s, –start-col: start column, default=2 -e, –end-col: end column, default=3
galaxy.datatypes.converters.interval_to_tabix_converter module
galaxy.datatypes.converters.lped_to_fped_converter module
- galaxy.datatypes.converters.lped_to_fped_converter.timenow()[source]
return current time as a string
- galaxy.datatypes.converters.lped_to_fped_converter.rgConv(inpedfilepath, outhtmlname, outfilepath)[source]
convert linkage ped/map to fbat
- galaxy.datatypes.converters.lped_to_fped_converter.main()[source]
call fbater need to work with rgenetics composite datatypes so in and out are html files with data in extrafiles path <command>python ‘$__tool_directory__/rg_convert_lped_fped.py’ ‘$input1/$input1.metadata.base_name’ ‘$output1’ ‘$output1.extra_files_path’ </command>
galaxy.datatypes.converters.lped_to_pbed_converter module
- galaxy.datatypes.converters.lped_to_pbed_converter.timenow()[source]
return current time as a string
- galaxy.datatypes.converters.lped_to_pbed_converter.getMissval(inped='')[source]
read some lines…ugly hack - try to guess missing value should be N or 0 but might be . or -
- galaxy.datatypes.converters.lped_to_pbed_converter.rgConv(inpedfilepath, outhtmlname, outfilepath, plink)[source]
- galaxy.datatypes.converters.lped_to_pbed_converter.main()[source]
need to work with rgenetics composite datatypes so in and out are html files with data in extrafiles path <command>python ‘$__tool_directory__/lped_to_pbed_converter.py’ ‘$input1/$input1.metadata.base_name’ ‘$output1’ ‘$output1.extra_files_path’ ‘${GALAXY_DATA_INDEX_DIR}/rg/bin/plink’ </command>
galaxy.datatypes.converters.maf_to_fasta_converter module
galaxy.datatypes.converters.maf_to_interval_converter module
galaxy.datatypes.converters.parquet_to_csv_converter module
Input: parquet Output: csv
galaxy.datatypes.converters.pbed_ldreduced_converter module
- galaxy.datatypes.converters.pbed_ldreduced_converter.timenow()[source]
return current time as a string
- galaxy.datatypes.converters.pbed_ldreduced_converter.pruneLD(plinktasks=None, cd='./', vclbase=None)[source]
- galaxy.datatypes.converters.pbed_ldreduced_converter.makeLDreduced(basename, infpath=None, outfpath=None, plinke='plink', forcerebuild=False, returnFname=False, winsize='60', winmove='40', r2thresh='0.1')[source]
not there so make and leave in output dir for post job hook to copy back into input extra files path for next time
galaxy.datatypes.converters.pbed_to_lped_converter module
- galaxy.datatypes.converters.pbed_to_lped_converter.timenow()[source]
return current time as a string
- galaxy.datatypes.converters.pbed_to_lped_converter.rgConv(inpedfilepath, outhtmlname, outfilepath, plink)[source]
- galaxy.datatypes.converters.pbed_to_lped_converter.main()[source]
need to work with rgenetics composite datatypes so in and out are html files with data in extrafiles path <command>python ‘$__tool_directory__/pbed_to_lped_converter.py’ ‘$input1/$input1.metadata.base_name’ ‘$output1’ ‘$output1.extra_files_path’ ‘${GALAXY_DATA_INDEX_DIR}/rg/bin/plink’ </command>
galaxy.datatypes.converters.picard_interval_list_to_bed6_converter module
galaxy.datatypes.converters.pileup_to_interval_index_converter module
Convert from pileup file to interval index file.
usage: %prog <options> in_file out_file
galaxy.datatypes.converters.ref_to_seq_taxonomy_converter module
convert a ref.taxonomy file to a seq.taxonomy file Usage: %python ref_to_seq_taxonomy_converter.py <ref.taxonom> <seq.taxonomy>
galaxy.datatypes.converters.tabular_csv module
Uses the python csv library to convert to and from tabular
usage: %prog [–from-tabular] -i in_file -o out_file
galaxy.datatypes.converters.tabular_to_dbnsfp module
galaxy.datatypes.converters.vcf_to_interval_index_converter module
galaxy.datatypes.converters.vcf_to_vcf_bgzip module
galaxy.datatypes.converters.wiggle_to_simple_converter module
Read a wiggle track and print out a series of lines containing “chrom position score”. Ignores track lines, handles bed, variableStep and fixedStep wiggle lines.