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A comparison of high-throughput diatom DNA sequencing techniques — jjg
======
envex
This article is pretty much garbage. It compares these next-gen methods to
genome-sequencing. This is like a car dealer comparing a pickup truck to a
Ferrari.
~~~
jjg
I’d like to know how much a 4K gen sequencing or what he calls sequencing for
these techniques is.
I was being a jerk, but I agree with your point of view
~~~
envex
I meant that you shouldn’t be comparing them to a diatom or Ferrari. You’re
comparing them to NGS in general. It’s one of the cheapest methods out there.
How much sequencing is 4k is up for debate. It’s probably somewhere between
10 and 100x cheaper than NGS.
~~~
jjg
It’s NGS in general, but I guess it comes down to the comparison being made.
~~~
jeffreymcmanus
I agree with this. The post was a bit of a mess, but the table’s pretty
impressive.
I think it’s misleading to compare this method to classic Sanger sequencing
(which is still quite efficient and has a million fold higher throughput).
——
epistasis
I think that most people don’t know enough about such techniques to
understand the context. It’s almost impossible for us lay people to really
understand the implication of sequencing a gene to determine phylogenetic
relationships, as there are many more genes involved, and the development of
molecular markers is a complicated matter of trial and error.
Some authors have done the legwork for us, though. HVR sequences have been
measured on a number of ecological scales, and samples from hundreds of
populations.
For example, a
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— or a free drum sample pack from the MT Power Drum Kit — gives you the. The sets help you find the right drum sample instantly when you are creating a new track.. If you can’t find anything that you like in our packs, the fantastic Kontakt .Q: Python — Beautifulsoup returns Blank Cell Value I have the following code: import requests from bs4 import BeautifulSoup import tkinter as tk import os root = tk.Tk() filename = raw_input(«Enter the filename: «) f = open(filename) content = f.readlines() for x in content: content.remove(x) soup = BeautifulSoup(content, «html.parser») text_files = soup.findAll(«div», attrs={‘id’: ‘text’}) text_files = [x.text for x in text_files] for i in range(0, len(text_files)): text_file = text_files[i] print text_file for text_file in text_files: tkinter.Label(root, text = text_file).grid(row = 0, column = 2) The purpose of this code is to search for all div’s with the «id» attribute of «text» and download it’s text. The output appears as: Enter the filename: /Users/Nikki/Desktop/image1.jpg 4. [u’ ‘ u’ ‘ u’ ‘ u’ ‘] 5. [u’ ‘ u’ ‘ u’ ‘ u’ ‘] 6. [u’ ‘ u’ ‘ u’ ‘ u’ ‘] Why are the five values that it is giving me blank instead of the correct 4,5,6 values? A: The reason you are getting the ‘blank’ values is because you are using len(), instead of len(text_files). for i in range(0, len(text_files)): The reason you are getting the list [ 6d1f23a050
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