Module: Vardetect::Vc
- Defined in:
- lib/vardetect-vc.rb,
lib/vardetect-vc/lib.rb,
lib/vardetect-vc/version.rb,
lib/vardetect-vc/call_snv.rb,
lib/vardetect-vc/call_combine.rb,
lib/vardetect-vc/call_prepare.rb
Constant Summary collapse
- VERSION =
"0.0.5"
Class Method Summary collapse
- .analyse_combine(params) ⇒ Object
- .call_combine_all(params) ⇒ Object
- .call_prepare_snp(params) ⇒ Object
- .call_prepare_st(params) ⇒ Object
- .call_prepare_vc(params) ⇒ Object
- .call_sam_snv(sam, chr, chr_start, chr_stop, debug = nil) ⇒ Object
- .call_snv(params) ⇒ Object
- .call_snv_range(params) ⇒ Object
- .call_variance(p) ⇒ Object
-
.exec(args) ⇒ Object
command params options variance call.
- .form(seq, cigar) ⇒ Object
- .getidx(id) ⇒ Object
- .hi ⇒ Object
- .inspect_reference(testReference) ⇒ Object
- .inspect_reference_human(testReference) ⇒ Object
- .parse_params(params) ⇒ Object
- .process_vc_multicore(params, core = 1, chr_filter = nil) ⇒ Object
- .sampling(list) ⇒ Object
Class Method Details
.analyse_combine(params) ⇒ Object
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# File 'lib/vardetect-vc/call_combine.rb', line 169 def self.analyse_combine params # index columns idx = {} %w{snp vc st pos ref vc_a1 vc_a vc_het vc_dep vc_alt vc_r snp_ann snp_a snp_het snp_gc snp_clus st_ref st_a2 st_qua st_dep st_alt st_pos}.each_with_index do |i,index| idx[i.to_sym] = index end # constant snp_filter = 0.75 alt_ratio = 0.1 gcid = idx[:snp_gc] hid = idx[:snp_het] depid= idx[:vc_dep] combine_file =params['com_out'] analyse_file =params['out'] f_list = File.open(combine_file,'r') out = File.open(analyse_file,'w') all_list = [] list = [] het_list = [] hom_list = [] # filter all by gc score snp array while str = f_list.gets # puts str v = str.strip.split(',') all_list<<v if v[gcid].to_f>snp_filter list<<v end end # filter set of snp array 's het hom for i in list if i[hid]=='het' het_list<<i else hom_list<<i end end out.puts "SNP Array overlap data " out.puts "Filter GC score at,#{snp_filter}" out.puts "Total snv,#{all_list.size}" out.puts "Total snv not pass filter,#{all_list.size-list.size}" out.puts "Total hetero snv,#{het_list.size}" out.puts "Total homo snv,#{hom_list.size}" vc_het_het = [] vc_het_hom = [] vc_hom_hom = [] vc_hom_het = [] vchid = getidx :vc_het vcrid = getidx :vc_r [vchid]=='het' or for i in list if i[hid]=='het' if i[vcrid].to_f >= alt_ratio vc_het_het<<i else vc_het_hom<<i end else if i[vcrid].to_f >= alt_ratio vc_hom_het<<i else vc_hom_hom<<i end end end # matrix=[[vc_het_het.size,vc_het_hom.size],[vc_hom_hom.size,vc_hom_het.size]] require 'erb' outtmp = File.open(analyse_file+".html",'w') template = ERB.new(File.open('index.html.erb','r').read) outtmp.puts template.result(binding) outtmp.close `open #{analyse_file+".html"}` out.close f_list.close end |
.call_combine_all(params) ⇒ Object
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# File 'lib/vardetect-vc/call_combine.rb', line 5 def self.call_combine_all params # ==================================================================================================== # 4. All comparison # ==================================================================================================== map_vc = [] map_st = {} map_snp = {} vc_file =params['vc_out'] st_file =params['st_out'] snp_file =params['snp_out'] com_out =params['com_out'] f_st = File.open(st_file,'r') f_vc = File.open(vc_file,'r') f_snp = File.open(snp_file,'r') com_output = File.open(com_out,'w') puts "Indexing SNP Array SNV" while str = f_snp.gets v = str.strip.split(',') map_snp[v[0]] = v end puts map_snp.keys[0..10] puts "Indexing SamTools SNV" while str = f_st.gets v = str.strip.split(',') map_st[v[0]] = v end puts map_st.keys[0..10] puts "Indexing VC SNV" while str = f_vc.gets v = str.split(',') # if (v[2]==v[3] and alt.to_f/dep > 0.1) or v[2]!=v[3] # map_vc<<v # end # # if (v[2]==v[3] and alt.to_f/dep > 0.1) or v[2]!=v[3] map_vc<<v # end end puts map_vc.size # puts map_vc[0..10] # map_vc.sort!{|a,b| a[1].to_i<=>b[1].to_i } all=0 vc_count=0 st_count=0 vc_het_rate=0 st_het_rate=0 final = [] for i in map_vc pos = i[0] # puts pos if snp = map_snp[pos] vc_alt = i[5].to_i vc_dep = i[4].to_i+vc_alt vc_alt_a = '-' vc_het = 0 snp_rs = snp[1] snp_a1 = snp[2] snp_a2 = snp[3] snp_a = "#{snp_a1}/#{snp_a2}" snp_het = 0 snp_het = 1 if snp_a1!=snp_a2 snp_gc = snp[4] snp_clust = snp[5] snp_cmp = 1 snp_check = false if snp_a.strip !='-/-' all+=1 snp_check = true end st_check = false vc_het_t = 'hom' snp_het_t = 'hom' snp_het_t = 'het' if snp_a1!=snp_a2 vc_het_ratio = vc_alt.to_f/vc_dep if vc_het_ratio >= 0.15 vc_alt_a = i[3] vc_het = 1 vc_het_t = 'het' end str = "#{i[0]},#{i[1]},#{i[2]},#{i[2]}/#{vc_alt_a},#{vc_het_t},#{vc_dep},#{vc_alt},#{vc_het_ratio}," str += "#{snp_rs},#{snp_a},#{snp_het_t},#{snp_gc},#{snp_clust}," if st = map_st[pos] st_het = 0 st_het = 1 if st[5] =='het' str += st[4..-1].join(",") if st_het==snp_het and snp_check st_het_rate+=1 st_check =true end st_count+=1 end vc_check = false vc_check = true if vc_het==snp_het and snp_check if snp_check and vc_check vc_het_rate+=1 end vc_count+=1 cmp = [snp_check,vc_check,st_check,str] # final << cmp com_output.puts cmp.join(',') end end puts "All #{all} is not -/-" puts "VC Hetero Rate : #{vc_het_rate}" puts "ST Hetero Rate : #{st_het_rate}" f_st.close f_vc.close f_snp.close com_output.close end |
.call_prepare_snp(params) ⇒ Object
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# File 'lib/vardetect-vc/call_prepare.rb', line 35 def self.call_prepare_snp params # ==================================================================================================== # 3. SNP preparing filtered chromosome # ==================================================================================================== snp_array_file =params['snp'] snp_file =params['snp_out'] count = 0 list = [] start = false run = false file = File.open(snp_array_file,'r') output = File.open snp_file,'w' map = {} while str = file.gets #and count<100 str.strip! if str=='[Data]' and !start start = true elsif start s = str.split if s[0] =='Sample' and !run run = true else key = "#{s[1]}-#{s[2]}" map[key] = s end end count+=1 end # map.keys.sort.each do |k| v = map[k] output.puts "#{k},"+v[3..-1].join(",") end output.close end |
.call_prepare_st(params) ⇒ Object
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# File 'lib/vardetect-vc/call_prepare.rb', line 6 def self.call_prepare_st params # ==================================================================================================== # 2. ST preparing filtered chromosome # ==================================================================================================== count = 0 start = false sam_tool_file =params['st'] snp_file =params['st_out'] st_output = File.open(snp_file,'w') CSV.foreach(sam_tool_file) do |row| if start i = row[0][3..-1] id = i.to_i id = i if id == 0 key = "#{id}-#{row[1]}" st_output.puts key+","+row.join(",") count +=1 else start=true end end st_output.close end |
.call_prepare_vc(params) ⇒ Object
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# File 'lib/vardetect-vc/call_prepare.rb', line 81 def self.call_prepare_vc params vc_raw_file =params['vc_raw'] vc_file =params['vc_out'] count = 0 list = [] file = File.open(vc_raw_file,'r') output = File.open vc_file,'w' map = {} while str = file.gets #and count<100 str.strip! s = str.split # puts str begin if str alt = s[6].to_i dep = s[5].to_i + alt if ( alt.to_f/dep > 0.1) or s[2]!=s[3] i = s[0][3..-1] key = "#{i}-#{s[1]}" map[key] = s end end rescue puts str end end # map.keys.sort.each do |k| v = map[k] output.puts "#{k},"+v[2..-1].join(",") end output.close end |
.call_sam_snv(sam, chr, chr_start, chr_stop, debug = nil) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 42 def self.call_sam_snv sam,chr,chr_start,chr_stop, debug=nil unless debug show = false indel_show = false var_show = false else s = debug.split('|') show = s.index('show') indel_show = s.index('indel') var_show = s.index('var') end l = nil snps = [] indels = [] indels_map = {} puts "#{chr} #{chr_start} - #{chr_stop}" seq = sam.fetch_reference(chr,chr_start,chr_stop+1000) sam.load_index upseq = seq.upcase als = [] als = sam.fetch(chr, chr_start, chr_stop) profile = [] list = [] start = nil alleles = {'A'=>0,'C'=>1,'G'=>2,'T'=>3} inv_alleles = {0=>'A',1=>'C',2=>'G',3=>'T'} als.each{|i| # puts "#{i.pos}" unless start start = i.pos end if i.pos!=start while start<i.pos del = [] s = '' ref = seq[start-chr_start] print "#{start}\t#{ref}\t#{list.size}\t" if show ref = ref.upcase p = [0,0,0,0] q = [0,0,0,0] list.each_with_index do|l,index| c = l.seq[start-l.pos] cq = l.qual[start-l.pos] # a = seq[start-1..start-1-5] # b =seq[start-l.pos..start-l.pos-5] # puts "#{a} - #{b}" if c case c when 'A' p[0]+=1 q[0]+=cq-33 if cq when 'C' p[1]+=1 q[1]+=cq-33 if cq when 'G' p[2]+=1 q[2]+=cq-33 if cq when 'T' p[3]+=1 q[3]+=cq-33 if cq end s+=c print "#{c}" if show else del<<l end end pmax = p.index(p.max) max = p[pmax] p[pmax] = 0 if pmax palt = p.index(p.max) alt = p[palt] dep = max+alt max_q = q[pmax].to_f/max alt_q = '0' alt_q = q[palt].to_f/alt if alt > 0 if dep > 2 and ((indel = indels_map[start] and indel[:count]>1 ) or (alt>0 and alt/dep.to_f > 0.1 and alt_q >10) or alleles[ref]!=pmax ) text = "#{start}\t#{max}/#{alt.to_i}\t#{ref}\t#{s}" puts text if var_show sum = (max+alt).to_f aalt = '-' aalt = inv_alleles[palt] if alt!=0 if (alt>0 and alt/dep.to_f > 0.1) c = 'a' else c = 'A' end if indel s = indel[:alleles].split('/') ref = s[0] aalt = s[1] alt = indel[:count] if indel[:type]=='ins' c='+' else c='-' end end snps << [chr,start,ref,inv_alleles[pmax],aalt,max,alt,format('%.2f',max_q),format('%.2f',alt_q),c] # snps << [chr,start,ref,inv_alleles[pmax],inv_alleles[palt],max,alt,max/sum,alt/sum] end list-=del if list.size==0 start = i.pos else start+=1 end puts if show end start = i.pos end seq_size = i.seq.size tseq = form(i.seq,i.cigar) tqual = form(i.qual,i.cigar) if (i.cigar.index('I') or i.cigar.index('D') ) if indel_show puts "-------------------------INDEL " puts i.pos puts i.cigar puts i.seq puts i.qual # puts i.inspect # :qname, :flag, :rname,:pos,:mapq,:cigar, :mrnm, :mpos, :isize, :seq, :qual, :tags, :al, :samstr puts seq[i.pos-chr_start..i.pos-chr_start+i.seq.size] puts tseq[0] puts tqual[0] puts tseq[1] end if tseq[1].size>0 for y in tseq[1] if y[:type]=='ins' iref = '-' iseq = i.seq[y[:pos]..y[:pos]+y[:size]-1] y[:alleles] = "#{iref}/#{iseq}" else iref = seq[i.pos-chr_start+y[:pos]..i.pos-chr_start+y[:pos]+y[:size]-1] iseq = '-' y[:alleles] = "#{iref}/#{iseq}" end y[:pos]+=i.pos indels<<y unless indels_map[y[:pos]] y[:count]=1 y[:sm]=y[:alleles] indels_map[y[:pos]] = y else indels_map[y[:pos]][:sm]+=",#{y[:alleles]}" indels_map[y[:pos]][:count] +=1 end end end end i.seq = tseq[0] i.qual = tqual[0].bytes.to_a if i.seq.size > seq_size/2 si = 0 i.seq.size.times do |k| # puts "#{i.seq[k]} #{seq[start-chr_start+k]}" si+=1 if i.seq[k]==upseq[start-chr_start+k] end # puts "#{si} #{i.seq.size}" if (si.to_f/i.seq.size)>=0.95 list << i else if indel_show puts "Drop with low similarity #{si.to_f/i.seq.size} #{i.cigar}" puts seq[start-chr_start..start-chr_start+100] puts i.seq end end end l = i } if indel_show for i in indels_map.keys.sort puts indels_map[i].inspect end end # puts l.cigar # puts l.seq # puts snps.size return snps end |
.call_snv(params) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 455 def self.call_snv params # ==================================================================================================== # 1. VC calling # ==================================================================================================== core = 4 core = params['core'].to_i if params['core'] # number of simultaneous processes sam_file =params['sam'] ref_file =params['ref'] vc_file =params['vc_out'] p = {:sam=>sam_file,:ref=>ref_file,:output=>vc_file} # params[:start] = 95_658_000 # params[:stop] = 95_659_000 # call_variance params process_vc_multicore p,core # # params = {:sam=>sam_file,:ref=>ref_file,:output=>vc_all_file} # # process_vc_multicore params,core end |
.call_snv_range(params) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 476 def self.call_snv_range params # ==================================================================================================== # 1. VC calling # ==================================================================================================== core = 4 core = params['core'].to_i if params['core'] # number of simultaneous processes sam_file =params['sam'] ref_file =params['ref'] vc_file =params['vc_out'] p = {:sam=>sam_file,:ref=>ref_file,:output=>vc_file,:chr=>"chr#{params['chr']}",:start=>params['start'].to_i,:stop=>params['stop'].to_i,:debug=>'indel'} puts p.inspect call_variance p end |
.call_variance(p) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 304 def self.call_variance p chr = p[:chr] output = p[:output] testBAMFile = p[:sam] testReference = p[:ref] sam = Bio::DB::Sam.new({:bam=>testBAMFile, :fasta=>testReference}) sam.open chr_start = p[:start] chr_stop = p[:stop] snps = call_sam_snv sam,chr,chr_start,chr_stop, p[:debug] sam.close f = File.open(output,'a') f.puts snps.collect{|j| j.join("\t")} f.close end |
.exec(args) ⇒ Object
command params options variance call
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# File 'lib/vardetect-vc.rb', line 26 def self.exec args params = parse_params args.join(' ') puts params.inspect cmd = params[:cmd] case cmd when 'snv' call_snv params when 'snv-batch' path = '/Users/soup/Desktop/chula/data' path = params['path'] if params['path'] working = params['exp'] for i in params['samples'].split(',').compact sample_id = i ref_file = File.join(path,'ref','hg19.fa') sam_file = File.join(path,working,'bam',"#{sample_id}.remdup.uniqMap.TS.bam") vc_raw_file = File.join(path,working,'snv-vc',"#{sample_id}_vc_raw_snv.tsv") p = "snv -ref #{ref_file} -sam #{sam_file} -vc_out #{vc_raw_file} -core 16" p = parse_params(p) puts p.inspect call_snv p end when 'snv-range' call_snv_range params when 'prepare-st' call_prepare_st params when 'prepare-snp' call_prepare_snp params when 'prepare-vc' call_prepare_vc params when 'combine-all' call_combine_all params when 'analyse-combine' call_analyse_combine params end end |
.form(seq, cigar) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 6 def self.form seq, cigar ix = cigar.split(/S|M|I|D/) index = 0 id = 0 str = '' st = 0 indel = [] # puts seq for i in ix index+=i.size cmd = cigar[index] # puts "#{cmd} #{i.to_i}" index+=1 i = i.to_i case cmd when 'S' st = i id += i when 'I' indel<<{:pos=>id-st,:type=>'ins',:size=>i,:cigar=>cigar} id+=i when 'D' str+='N'*i indel<<{:pos=>id-st,:type=>'del',:size=>i,:cigar=>cigar} when 'M' str += seq[id..id+i-1] if seq[id..id+i-1] id+=i end # puts "Ref:#{seq}" # puts "Seq:#{str}" # puts "ID #{id}" # puts end return str,indel end |
.getidx(id) ⇒ Object
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# File 'lib/vardetect-vc/call_combine.rb', line 279 def self.getidx id idx = {} %w{snp vc st pos ref vc_a1 vc_a vc_het vc_dep vc_alt vc_r snp_ann snp_a snp_het snp_gc snp_clus st_ref st_a2 st_qua st_dep st_alt st_pos}.each_with_index do |i,index| idx[i.to_sym] = index end return idx[id] end |
.hi ⇒ Object
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# File 'lib/vardetect-vc.rb', line 20 def self.hi puts 'hello inside ' end |
.inspect_reference(testReference) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 327 def self.inspect_reference testReference # index reference file = File.open(testReference,'r') map = {} size=0 chr = nil while str=file.gets if str[0..0]=='>' if chr puts "#{chr}\t#{size}" map[chr]=size end chr = str.strip.split[0][1..-1] size=0 else size+=str.strip.size end end map[chr]=size puts map.inspect file.close genome = map # genome = {"chr1"=>249250621, "chr10"=>135534747, "chr11"=>135006516, "chr12"=>133851895, "chr13"=>115169878, "chr14"=>107349540, "chr15"=>102531392, "chr16"=>90354753, "chr17"=>81195210, "chr18"=>78077248, "chr19"=>59128983, "chr2"=>243199373, "chr20"=>63025520, "chr21"=>48129895, "chr22"=>51304566, "chr3"=>198022430, "chr4"=>191154276, "chr5"=>180915260, "chr6"=>171115067, "chr7"=>159138663, "chr8"=>146364022, "chr9"=>141213431, "chrX"=>155270560, "chrY"=>59373566} return genome end |
.inspect_reference_human(testReference) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 356 def self.inspect_reference_human testReference # index reference # # file = File.open(testReference,'r') # map = {} # size=0 # chr = nil # while str=file.gets # if str[0..0]=='>' # if chr # puts "#{chr}\t#{size}" # map[chr]=size # end # chr = str[1..-1].strip # size=0 # else # size+=str.strip.size # end # end # map[chr]=size # puts map.inspect # file.close genome = {"chr1"=>249250621, "chr10"=>135534747, "chr11"=>135006516, "chr12"=>133851895, "chr13"=>115169878, "chr14"=>107349540, "chr15"=>102531392, "chr16"=>90354753, "chr17"=>81195210, "chr18"=>78077248, "chr19"=>59128983, "chr2"=>243199373, "chr20"=>63025520, "chr21"=>48129895, "chr22"=>51304566, "chr3"=>198022430, "chr4"=>191154276, "chr5"=>180915260, "chr6"=>171115067, "chr7"=>159138663, "chr8"=>146364022, "chr9"=>141213431, "chrX"=>155270560, "chrY"=>59373566} return genome end |
.parse_params(params) ⇒ Object
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# File 'lib/vardetect-vc/lib.rb', line 9 def self.parse_params params puts params params = params.split cmd = params[0] tmp = {} ((params.size-1)/2).times do |i| key = params[1+i*2][1..-1] value = params[1+i*2+1] tmp[key]=value end tmp[:cmd]=cmd params = tmp end |
.process_vc_multicore(params, core = 1, chr_filter = nil) ⇒ Object
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# File 'lib/vardetect-vc/call_snv.rb', line 386 def self.process_vc_multicore params, core=1,chr_filter=nil sim = core path = '/Users/soup/Desktop/vcqa' output = params[:output] testReference = params[:ref] genome = inspect_reference_human(testReference) if chr_filter # 1 as text tmp = {} chr = "chr#{chr_filter}" tmp[chr]=genome[chr] genome = tmp end puts genome.inspect # reset output f = File.open(output,'w') f.close a = [] # job generator genome.each_pair do |chr,size| puts "#{chr}\t#{size}" m = 1000000 n = size/m n.times do |i| params[:chr] = chr params[:start] = 1 + i * m params[:stop] = (i+1) * m a<<params.clone end if size%m !=0 params[:chr] = chr params[:start] = size - size% m params[:stop] = size a<<params.clone end end sim = a.size if sim>a.size # starting first N processes sim.times do i = a.pop Process.fork{call_variance(i)} end # start one by one as the previous finish a.each do |i| Process.wait(0) Process.fork{call_variance(i)} end # wait for all to finish Process.waitall end |
.sampling(list) ⇒ Object
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# File 'lib/vardetect-vc/call_combine.rb', line 290 def self.sampling list gcid = getidx :snp_gc depid = getidx :vc_dep vcrid = getidx :vc_r # ===================================================================== # sampling gc score value from all data set gc_bin = [] gc_range = 100 gc_max = 1 for i in list j = i[gcid].to_f k = (j * gc_range / gc_max).to_i gc_bin[k]=0 unless gc_bin[k] gc_bin[k]+=1 end # ===================================================================== # sampling dep score value from all data set d_bin = [] d_range = 100 d_max = 500 for i in list j = i[depid].to_i k = (j * d_range / d_max).to_i d_bin[k]=0 unless d_bin[k] d_bin[k]+=1 end # ===================================================================== # sampling gc score value from all data set alt_bin = [] alt_range = 100 alt_max = 0.5 dep_range = 100 dep_max = 500 for i in list j = i[vcrid].to_f d = i[depid].to_f k = (j * alt_range / alt_max).to_i alt_bin[k]=0 unless alt_bin[k] alt_bin[k]+=1 end dot = [] for i in list j = i[vcrid].to_f d = i[depid].to_f k = (j * alt_range / alt_max).to_i k2 = (d * dep_range / dep_max).to_i dot << "[#{d},#{j}]" end return {:gc=>gc_bin,:dep=>d_bin,:alt=>alt_bin,:dot=>dot} end |