Galaxy | Published Workflow | Assembling the S. aureus genome using SOAPdenovo1

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Published Workflows | peterli | Assembling the S. aureus genome using SOAPdenovo1

Galaxy Workflow ' Assembling the S. aureus genome using SOAPdenovo1'

Step	Annotation
Step 1: Input dataset Input Dataset select at runtime	frag_1.fastq
Step 2: Input dataset Input Dataset select at runtime	frag_2.fastq
Step 3: Input dataset Input Dataset select at runtime	shortjump_1.fastq
Step 4: Input dataset Input Dataset select at runtime	shortjump_2.fastq
Step 5: Input dataset Input Dataset select at runtime	genome.fasta
Step 6: KmerFreq1 What type of data are you using? FASTQ library libraries 1 Forward FASTQ file Output dataset 'output' from step 1 Reverse FASTQ file Output dataset 'output' from step 2 Seed length 17 ASCII shift of the quality value 33 Quality cutoff 0 Output Kmer index Yes
Step 7: Corrector1 List of input files Output dataset 'filelist' from step 6 Kmer frequency data Output dataset 'freq' from step 6 Kmer index Yes Start of Kmer frequency cutoff 3 End of Kmer frequency cutoff 3 Delta value 2 Seed length 17 Input file format FASTQ
Step 8: Merge pair List of corrected read files Output dataset 'corr_filelist' from step 7
Step 9: SOAPdenovo1 Select a configuration file from history or create a new one? Create new configuration file Maximum read length 100 library libraries 1 Average insert size 180 Reverse sequence? forward-reverse Which operations should the reads be used for? For contig and scaffold assembly Length of base pairs to use from reads None Which order are the reads used while scaffolding 1 Pair number cutoff for a reliable connection None Length of contig that has to be aligned for a reliable read location None files files 1 What type of data are you using? Single What type of data are you using? Paired reads Single fasta file for paired reads Output dataset 'pair' from step 8 files 2 What type of data are you using? Single What type of data are you using? FASTA Forward FASTA file Output dataset 'single' from step 8 libraries 2 Average insert size 3500 Reverse sequence? reverse-forward Which operations should the reads be used for? For only scaffold assembly Length of base pairs to use from reads None Which order are the reads used while scaffolding 2 Pair number cutoff for a reliable connection 11 Length of contig that has to be aligned for a reliable read location 31 files files 1 What type of data are you using? Paired What is the format of your sequence data? FASTQ Forward FASTQ file Output dataset 'output' from step 3 Reverse FASTQ file Output dataset 'output' from step 4 SOAP settings to use Full parameter list k value in kmer 31 Number of CPUs to use 16 Delete kmers that are only found once? Yes Delete edges that are only found once? No Unsolve repeats by reads? Yes Fill gaps in scaffold? Yes
Step 10: GapCloser 1.10 Scaffold file for gap closing Output dataset 'scafseq' from step 9 Select a configuration file from history or create a new one? Use one from history Select configuration file from history Output dataset 'config' from step 9 GapCloser settings to use Full parameter list Overlap parameter 31 Number of threads for processing 16
Step 11: Extract ACGT scaffolds Output dataset 'scaff' from step 10
Step 12: GAGE analysis Reference genome file in FASTA format Output dataset 'output' from step 5 Contig file in FASTA format Output dataset 'scafseq_gc_ctg_fa' from step 11 Scaffold file in FASTA format Output dataset 'scaff' from step 10
Step 13: stat GAGE output Output dataset 'outfile' from step 12

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peterli

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