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Troels Emtekær Linnet PhD student Copenhagen University SBiNLab

Tests

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<include src="https://raw.github.com/Pymol-Scripts/Pymol-script-repo/master/cyspka.py" />

Test2

<include src="http://www.ietf.org/rfc/rfc1945" />

Test DPL imagecontainer=Screenshots

[[%PAGE%|thumb|185px|A random relax screenshot. See Screenshots.]]


SeriesTab

ls -v -d -1 */*.ft2 > allplanes.list
cd analysis_FT/int_corr_ft_method_all_awk/coMDD
seriesTab -in peaks.dat
seriesTab -in ../../peaks.dat -out allplanes_coMDD_ser.ser -list allplanes_coMDD.list

Test randomimagebycategor


Test

from math import pi
from lib import nmr
from lib.physical_constants import return_gyromagnetic_ratio


id = 'test'
H_frq = 900.0e6
B0_tesla =  H_frq / return_gyromagnetic_ratio(nucleus='1H') * 2.0 * pi
print "B0 in Tesla:", B0_tesla
isotope = '15N'

yOBS_N15_rad_s = return_gyromagnetic_ratio(nucleus=isotope) * B0_tesla
yOBS_N15_ppm = nmr.frequency_to_ppm_from_rad(frq=yOBS_N15_rad_s, B0=H_frq, isotope=isotope)

print yOBS_N15_ppm

# Convert hz
offset_hz = 2100.
offset_ppm = nmr.frequency_to_ppm(frq=offset_hz, B0=H_frq, isotope=isotope)
print offset_ppm


#yOBS_rad_s = return_gyromagnetic_ratio(nucleus=isotope) * B0_tesla
#print yOBS_rad_s
#yOBS_ppm = nmr.frequency_to_ppm_from_rad(frq=yOBS_rad_s, B0=H_frq, isotope=isotope)
#print yOBS_ppm


# Center carriage In ppm
yCAR_ppm = 118.078

Google Cloud Computing

This follows the same idea as from Run relax at cloud.sagemath.com

pricing

For this example of Google Cloud Computing, we wan't to have access to as many computer cores as possible

For calculation of:

  • 1 server
  • using Free: Debian, CentOS, ...
  • with a regular VM Class
  • Instance type of (HIGH CPU) n1-highcpu-32 (vCPUs: 32, RAM: 28.80 GB)
  • 0 SSD
  • Datacenter location Europe
  • And running 24 hours per day
  • With 7 Average days per week each server is running.

The monthly price was of November 2015, $140.16.