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Examples/basic_examples/mRNAs/miARma_mRNAs_pipeline_TopHat.ini
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;General parameters | ||
[General] | ||
; type of analysis (miRNA, mRNA or circRNA) | ||
type=mRNA | ||
;0 for no verbose, otherwise to print "almost" everything | ||
verbose=0 | ||
; Folder for miRNA reads | ||
read_dir=Examples/basic_examples/mRNAs/reads/ | ||
; Number of process to run at the same time | ||
threads=4 | ||
; label for the analsysis | ||
label=TSA | ||
; Folder where miARma has been instaled | ||
miARmaPath=. | ||
; Folder to store results | ||
output_dir=Examples/basic_examples/mRNAs/results/ | ||
; organism used | ||
organism=human | ||
;Type of sequencing ; could be Paired or Single. [Single by default] | ||
seqtype=Single | ||
#Whether the data is from a strand-specific assay (yes, no or reverse, yes by default) for featureCounts analysis | ||
strand=no | ||
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[Quality] | ||
;Character string to put in the name of the results directory | ||
prefix=Pre | ||
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[Aligner] | ||
; ; Aligner (Bowtie1, Bowtie2, BWA, miRDeep or Bowtie1-Bowtie2, topHat) | ||
aligner=tophat | ||
; Tophat uses bowtie2 by default, bowtie1 can be also specified. Especifing both, means to repeat the analysis one with each aligner (Allowed values: Bowtie1, Bowtie2 and Bowtie1-Bowtie2/Bowtie2-Bowtie1)) | ||
tophat_aligner=Bowtie2 | ||
; #Indexed genome to align your reads in format .bt2 (Mandatory for analysis with bowtie2) | ||
bowtie2index=Genomes/Indexes/bowtie2/human/bw2_homo_sapiens19 | ||
; ; file used to hold information about gene structure (exos, introns, genes ..) | ||
gtf=Examples/basic_examples/mRNAs/data/Homo_sapiens_GRCh37.74_chr.gtf | ||
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[ReadCount] | ||
#GFF file used to calculate the number of reads in featureCounts analysis | ||
database=Examples/basic_examples/mRNAs/data/Homo_sapiens_GRCh37.74_chr.gtf | ||
;GFF attribute to be used as feature ID (default: gene_id) for featureCounts analysis | ||
seqid=transcript_id | ||
; Quality value to avoid counting low quality reads | ||
quality=10 | ||
;Feature type (3rd column in GFF file) to be used, all features of other type are ignored (default:exon) for featureCounts analysis | ||
featuretype=exon | ||
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[DEAnalysis] | ||
; Complete path of the target file. | ||
targetfile=Examples/basic_examples/mRNAs/data/targets.txt | ||
; Path of the contrast file. | ||
contrastfile=Examples/basic_examples/mRNAs/data/contrast.txt | ||
;This value refers to filter processing in the reads (Should be "yes" or "no"). | ||
filter=yes | ||
;Specific software to perform the Differential Expression Analysis (Allowed values: edger, noiseq or edger-noiseq) | ||
desoft=EdgeR-Noiseq | ||
;providing replicates | ||
replicates=yes | ||
;Provide a file with normalized reads | ||
cpm=yes | ||
;Provide a file with RPKM values | ||
rpkm=yes | ||
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[FAnalysis] | ||
; Attribute used (default: gene_id for gene symbol. transcript_id for ensembl transcripts ids, gene_name for gene symbols) | ||
seqid=transcript_id | ||
; #Optional argument to select statistically significant results. 0.8 as default | ||
noiseq_cutoff=0.8 | ||
; #Optional argument to select statistically significant results. 0.05 as default | ||
edger_cutoff=0.05 | ||
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[TargetPrediction] | ||
; #Optional argument to select statistically significant results. 0.8 as default | ||
noiseq_cutoff=0.8 | ||
; #Optional argument to select statistically significant results. 0.05 as default | ||
edger_cutoff=0.05 | ||
; Use highly diferentually expressed genes | ||
fc_threshold=3 |