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Little snpEff example
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python test.py | |
{'STOP_LOST': ('295', '0.205%'), 'NON_SYNONYMOUS_CODING': ('6,800', '4.732%'), 'DOWNSTREAM': ('45,227', '31.475%'), 'SPLICE_SITE_ACCEPTOR': ('18', '0.013%'), 'NON_SYNONYMOUS_START': ('1', '0.001%'), 'INTERGENIC': ('37,384', '26.016%'), 'START_LOST': ('1', '0.001%'), 'SYNONYMOUS_STOP': ('63', '0.044%'), 'EXON': ('11,134', '7.748%'), 'UPSTREAM': ('43,593', '30.337%'), 'SPLICE_SITE_DONOR': ('31', '0.022%'), 'SYNONYMOUS_CODING': ('3,619', '2.519%'), 'INTRON': ('6,307', '4.389%'), 'STOP_GAINED': ('355', '0.247%')} | |
#Intron = 6,307 |
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<html><head> | |
<meta charset="utf-8"> | |
<title>SnpEff example</title> | |
</head> | |
<body> | |
<a name="effects"> | |
<center> | |
<b> Number of effects by type and region </b> <p> | |
<table border="0"> | |
<tbody><tr> | |
<th> Type </th> | |
<th> Region </th> | |
</tr> | |
<tr> | |
<td> <table border="0"> | |
<thead> | |
<tr> | |
<th><b> Type (alphabetical order) </b></th> | |
<th> </th> | |
<th> Count </th> | |
<th> Percent </th> | |
</tr> | |
</thead> | |
<tbody><tr> | |
<td> <b> DOWNSTREAM </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#ff0000"> 45,227 </td> | |
<td class="numeric" bgcolor="#ff0000"> 31.475% </td> | |
</tr> | |
<tr> | |
<td> <b> INTERGENIC </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#d22c00"> 37,384 </td> | |
<td class="numeric" bgcolor="#d22c00"> 26.016% </td> | |
</tr> | |
<tr> | |
<td> <b> INTRON </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#23db00"> 6,307 </td> | |
<td class="numeric" bgcolor="#23db00"> 4.389% </td> | |
</tr> | |
<tr> | |
<td> <b> NON_SYNONYMOUS_CODING </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#26d800"> 6,800 </td> | |
<td class="numeric" bgcolor="#26d800"> 4.732% </td> | |
</tr> | |
<tr> | |
<td> <b> NON_SYNONYMOUS_START </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00ff00"> 1 </td> | |
<td class="numeric" bgcolor="#00ff00"> 0.001% </td> | |
</tr> | |
<tr> | |
<td> <b> SPLICE_SITE_ACCEPTOR </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00fe00"> 18 </td> | |
<td class="numeric" bgcolor="#00fe00"> 0.013% </td> | |
</tr> | |
<tr> | |
<td> <b> SPLICE_SITE_DONOR </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00fe00"> 31 </td> | |
<td class="numeric" bgcolor="#00fe00"> 0.022% </td> | |
</tr> | |
<tr> | |
<td> <b> START_LOST </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00ff00"> 1 </td> | |
<td class="numeric" bgcolor="#00ff00"> 0.001% </td> | |
</tr> | |
<tr> | |
<td> <b> STOP_GAINED </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#01fd00"> 355 </td> | |
<td class="numeric" bgcolor="#01fd00"> 0.247% </td> | |
</tr> | |
<tr> | |
<td> <b> STOP_LOST </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#01fd00"> 295 </td> | |
<td class="numeric" bgcolor="#01fd00"> 0.205% </td> | |
</tr> | |
<tr> | |
<td> <b> SYNONYMOUS_CODING </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#14ea00"> 3,619 </td> | |
<td class="numeric" bgcolor="#14ea00"> 2.519% </td> | |
</tr> | |
<tr> | |
<td> <b> SYNONYMOUS_STOP </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00fe00"> 63 </td> | |
<td class="numeric" bgcolor="#00fe00"> 0.044% </td> | |
</tr> | |
<tr> | |
<td> <b> UPSTREAM </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#f50900"> 43,593 </td> | |
<td class="numeric" bgcolor="#f50900"> 30.337% </td> | |
</tr> | |
</tbody></table><br> | |
</td> | |
<td> <table border="0"> | |
<thead> | |
<tr> | |
<th><b> Type (alphabetical order) </b></th> | |
<th> </th> | |
<th> Count </th> | |
<th> Percent </th> | |
</tr> | |
</thead> | |
<tbody><tr> | |
<td> <b> DOWNSTREAM </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#ff0000"> 45,227 </td> | |
<td class="numeric" bgcolor="#ff0000"> 31.475% </td> | |
</tr> | |
<tr> | |
<td> <b> EXON </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#3ec000"> 11,134 </td> | |
<td class="numeric" bgcolor="#3ec000"> 7.748% </td> | |
</tr> | |
<tr> | |
<td> <b> INTERGENIC </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#d22c00"> 37,384 </td> | |
<td class="numeric" bgcolor="#d22c00"> 26.016% </td> | |
</tr> | |
<tr> | |
<td> <b> INTRON </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#23db00"> 6,307 </td> | |
<td class="numeric" bgcolor="#23db00"> 4.389% </td> | |
</tr> | |
<tr> | |
<td> <b> SPLICE_SITE_ACCEPTOR </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00ff00"> 18 </td> | |
<td class="numeric" bgcolor="#00ff00"> 0.013% </td> | |
</tr> | |
<tr> | |
<td> <b> SPLICE_SITE_DONOR </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#00fe00"> 31 </td> | |
<td class="numeric" bgcolor="#00fe00"> 0.022% </td> | |
</tr> | |
<tr> | |
<td> <b> UPSTREAM </b> </td> | |
<th> </th> | |
<td class="numeric" bgcolor="#f50900"> 43,593 </td> | |
<td class="numeric" bgcolor="#f50900"> 30.337% </td> | |
</tr> | |
</tbody></table><br> | |
</td> | |
</tr> | |
</tbody></table> | |
</p> | |
</a> | |
</body></html> |
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from bs4 import BeautifulSoup | |
test = {} | |
with open("SnpEff.html") as f: | |
soup = BeautifulSoup(f, "lxml") | |
for a in soup.find_all('a', attrs={'name': 'effects'}): | |
for tr in a.find_all('tr')[3:]: | |
tds = tr.find_all('td') | |
if len(tds) > 0: | |
test[str(tds[0].text).strip()] = (str(tds[1].text).strip(), | |
str(tds[2].text).strip()) | |
print test | |
print "#Intron = " + str(test['INTRON'][0]) |
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