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"""Run this example as: python save_selection.py | |
Then navigate to localhost:5000 | |
Use python save_selection.py -h for more options. | |
""" | |
import base64 | |
import pandas as pd | |
import numpy as np |
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import pandas as pd | |
import numpy as np | |
from bokeh.server.server import Server | |
from bokeh.application import Application | |
from bokeh.application.handlers.function import FunctionHandler | |
from bokeh.plotting import figure | |
from bokeh.layouts import widgetbox, layout | |
from bokeh.models import ColumnDataSource | |
from bokeh.models.widgets import Button |
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import asyncio | |
import matplotlib | |
matplotlib.use('TkAgg') | |
import tkinter as tk | |
from tkinter import ttk | |
from skimage._shared._tempfile import temporary_file | |
import numpy as np | |
@asyncio.coroutine |
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{ | |
"global": { | |
"check_for_updates_on_startup": true, | |
"show_in_menu_bar": true, | |
"show_profile_name_in_menu_bar": false | |
}, | |
"profiles": [ | |
{ | |
"complex_modifications": { | |
"parameters": { |
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from IPython import get_ipython | |
import toolz as tz | |
from toolz import curried as c | |
fn = 'data/mb1_dm6.fa' | |
t = get_ipython().magic('timeit -o -q tz.pipe(fn, open, tz.last)') | |
print('Raw throughput (lines): %.2fMB/s' % (1 / t.best)) | |
t = get_ipython().magic('timeit -o -q tz.pipe(fn, open, tz.concat, tz.last)') | |
print('Single character throughput: %.2fMB/s' % (1 / t.best)) | |
def is_sequence(line): | |
return len(line) > 1 and not line.startswith('>') |
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>chr2L | |
Cgacaatgcacgacagaggaagcagaacagatatttagattgcctctcat | |
tttctctcccatattatagggagaaatatgatcgcgtatgcgagagtagt | |
gccaacatattgtgctctttgattttttggcaacccaaaatggtggcgga | |
tgaaCGAGATGATAATATATTCAAGTTGCCGCTAATCAGAAATAAATTCA | |
TTGCAACGTTAAATACAGCACAATATATGATCGCGTATGCGAGAGTAGTG | |
CCAACATATTGTGCTAATGAGTGCCTCTCGTTCTCTGTCTTATATTACCG | |
CAAACCCAAAAAgacaatacacgacagagagagagagcagcggagatatt | |
tagattgcctattaaatatgatcgcgtatgcgagagtagtgccaacatat | |
tgtgctctCTATATAATGACTGCCTCTCATTCTGTCTTATTTTACCGCAA |
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### Keybase proof | |
I hereby claim: | |
* I am jni on github. | |
* I am jni (https://keybase.io/jni) on keybase. | |
* I have a public key whose fingerprint is 9917 C047 FE5D 7675 689F 03C1 E6C7 550F 653B E587 | |
To claim this, I am signing this object: |
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