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authorHao Chen2020-04-19 12:02:28 -0500
committerHao Chen2020-04-19 12:02:28 -0500
commit15dde5133ac6d72846aa0db631e6660d50cb904e (patch)
treeac357bab8827106009d3e1cba64573265f94f3af /utility/topGene_step1_cnt_abstracts.py
parentd6ce31ebbffe337ea8495cc01ff2021652080c90 (diff)
downloadgenecup-15dde5133ac6d72846aa0db631e6660d50cb904e.tar.gz
mv some files to utility
Diffstat (limited to 'utility/topGene_step1_cnt_abstracts.py')
-rwxr-xr-xutility/topGene_step1_cnt_abstracts.py107
1 files changed, 107 insertions, 0 deletions
diff --git a/utility/topGene_step1_cnt_abstracts.py b/utility/topGene_step1_cnt_abstracts.py
new file mode 100755
index 0000000..420c9cf
--- /dev/null
+++ b/utility/topGene_step1_cnt_abstracts.py
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+#!/bin/env python3
+import os
+import sys
+import re
+import time
+from ratspub_keywords import *
+
+def undic(dic):
+ return "|".join(dic.values())
+
+def gene_addiction_cnt(gene):
+ time.sleep(0.2)
+ q="\'(\"" + addiction.replace("|", "\"[tiab] OR \"") + "\") AND (\"" + drug.replace("|", "\"[tiab] OR \"", ) + "\") AND (\"" + gene + "\")\'"
+ count=os.popen('esearch -db pubmed -query ' + q + ' | xtract -pattern ENTREZ_DIRECT -element Count ').read()
+ if (len(count)==0):
+ print("pause")
+ time.sleep(15)
+ return gene_addiction_cnt(gene)
+ else:
+ return (count)
+
+def removeStopWords(terms):
+ out=str()
+ for one in terms.upper().split("|"):
+ if one not in stopWords:
+ out+="|"+one
+ return(out[1:])
+
+def saveStopWord(w):
+ with open (stopword_f,"a") as swf:
+ swf.write(w+"\n")
+ return
+
+# either start with ncbi_gene_symb_syno_name_txid9606 for fresh new counts
+# or recount the results after adding additional stopwords
+
+if len(sys.argv)==2:
+ input_f=sys.argv[1]
+else:
+ input_f="./ncbi_gene_symb_syno_name_txid9606.txt"
+
+addiction=undic(addiction_d)
+drug=undic(drug_d)
+output_f=input_f.replace(".txt","_absCnt.txt")
+out=open(output_f, "w+")
+
+stopword_f="./stop_words_addiction_gene_search.txt"
+with open (stopword_f, "r") as swf:
+ stopWords=swf.read().upper().split("\n")
+ swf.close()
+
+with open (input_f, "r") as f:
+ for line in f:
+ do_search=0
+ inputline=line
+ line=line.replace("-","\ ")
+ # remove the annotated stopword
+ if "'" in line:
+ do_search=1
+ words=line.split("|")
+ line=str()
+ for word in words:
+ # ' is used to mark/annotate a word is a stop word in the results
+ # remove the ' mark
+ if "'" in word:
+ word=word.replace("'","")
+ stopWords.append(word)
+ saveStopWord(word)
+ line+="|"+word
+ line=line[1:]
+ line=removeStopWords(line)
+ # tab is added if there are abstracts counts
+ if "\t" in line:
+ (gene, count)=line.split("\t")
+ # rerun if count is low, these are less annotated
+ # if int(count)<50:
+ # do_search=1
+ else:
+ #no count,
+ gene=line.strip()
+ do_search=1
+ if do_search==1:
+ # remove synonyms with only two letters
+ if "|" in gene:
+ synos=gene.split("|")
+ # keep the gene name regardless number of characters
+ gene=synos[0]
+ #print ("gene: "+gene + " synos -->" + str(synos[1:]))
+ for syno in synos[1:]:
+ #synonyms must be at least 3 characters
+ if len(syno)>3:
+ gene+="|"+syno
+ gene_q=gene.replace("|", "\"[tiab] OR \"")
+ gene_q+="[tiab]"
+ count=gene_addiction_cnt(gene_q)
+ print("original line->\t"+inputline.strip())
+ print("stopword rmed->\t"+line.strip())
+ print("final result->\t"+gene+"\t"+count)
+ out.write(gene+"\t"+count)
+ else:
+ print("original resl->\t"+inputline.strip())
+ out.write(inputline)
+
+sorted_f=output_f.replace(".txt","_sorted.txt")
+os.system("sort -k2 -t$'\t' -rn " + output_f + " > " + sorted_f )
+
+