In [12]:
#calculate cost of sequencing 245 mbp at 2001 price, 10,000 per 1Mbg
cost=10000.00
bp1=248 #Mpbs for chromosome 1
bp2=242
bp3=198
bp4=190
bp5=181
bp6=170
bp7=159
bp8=145
bp9=138
bp10=133
bp11=135
bp12=133
bp13=114
bp14=107
bp15=101
bp16=90
bp17=83
bp18=80
bp19=58
bp20=64
bp21=46
bp22=50
bpx=156
bpy=57
total_cost = cost*bp1 + cost*bp2 + cost*bp3 + cost*bp4 + cost*bp5 + cost*bp6 + cost*bp7 + cost*bp8 + cost*bp9 + cost*bp10 + cost*bp11 + cost*bp12 + cost*bp13 + cost*bp14 + cost*bp15 + cost*bp16 + cost*bp17 + cost*bp18 + cost*bp19 + cost*bp20 + cost*bp21 + cost*bp22 + cost*bpx + cost*bpy
In [9]:
import pandas as pd
# Read the Excel file 
data = pd.read_excel("CHrompose.xltx") #for .xls, make sure 'xlrd' is installed
In [10]:
data
Out[10]:
chrmoosomes baspepiars
0 1 248956422
1 2 242193529
2 3 198295559
3 4 190214555
4 5 181538259
5 6 170805979
6 7 159345973
7 8 145138636
8 9 138394717
9 10 133797422
10 11 135086622
11 12 133275309
12 13 114364328
13 14 107043718
14 15 101991189
15 16 90338345
16 17 83257441
17 18 80373285
18 19 58617616
19 20 64444167
20 21 46709983
21 22 50818468
22 X 156040895
23 Y 57227415
In [14]:
total_cost
Out[14]:
30780000.0
In [15]:
#calculate cost of sequencing 245 mbp at 2001 price, 10,000 per 1Mbg
cost=0.10
bp1=248 #Mpbs for chromosome 1
bp2=242
bp3=198
bp4=190
bp5=181
bp6=170
bp7=159
bp8=145
bp9=138
bp10=133
bp11=135
bp12=133
bp13=114
bp14=107
bp15=101
bp16=90
bp17=83
bp18=80
bp19=58
bp20=64
bp21=46
bp22=50
bpx=156
bpy=57
total_cost = cost*bp1 + cost*bp2 + cost*bp3 + cost*bp4 + cost*bp5 + cost*bp6 + cost*bp7 + cost*bp8 + cost*bp9 + cost*bp10 + cost*bp11 + cost*bp12 + cost*bp13 + cost*bp14 + cost*bp15 + cost*bp16 + cost*bp17 + cost*bp18 + cost*bp19 + cost*bp20 + cost*bp21 + cost*bp22 + cost*bpx + cost*bpy
In [16]:
total_cost
Out[16]:
307.80000000000007
In [17]:
#calculate cost of sequencing 245 mbp at 2001 price, 10,000 per 1Mbg
cost=0.01
bp1=248 #Mpbs for chromosome 1
bp2=242
bp3=198
bp4=190
bp5=181
bp6=170
bp7=159
bp8=145
bp9=138
bp10=133
bp11=135
bp12=133
bp13=114
bp14=107
bp15=101
bp16=90
bp17=83
bp18=80
bp19=58
bp20=64
bp21=46
bp22=50
bpx=156
bpy=57
total_cost = cost*bp1 + cost*bp2 + cost*bp3 + cost*bp4 + cost*bp5 + cost*bp6 + cost*bp7 + cost*bp8 + cost*bp9 + cost*bp10 + cost*bp11 + cost*bp12 + cost*bp13 + cost*bp14 + cost*bp15 + cost*bp16 + cost*bp17 + cost*bp18 + cost*bp19 + cost*bp20 + cost*bp21 + cost*bp22 + cost*bpx + cost*bpy
In [18]:
total_cost
Out[18]:
30.78
In [ ]: