Comments (3)
Yes you are doing everything right! Your AGS estimates are quite high, which as you mention, may be do to high levels of eukaryotes or viruses.
Regardless, you can use the number of genome equivalents for normalization if you plan to perform comparative analyses between your samples.
Thanks,
Stephen
from microbecensus.
Thanks for your quick answer! Do you know of any other paper that reports the output from MicrobeCensus runs? I'd be curious to compare, but couldn't find any.
from microbecensus.
Yes, there are decent number. You can look through these papers.
from microbecensus.
Related Issues (20)
- MC should use the Unix exit code convention HOT 1
- temp files when program exits of error HOT 1
- installation on a cluster HOT 2
- Doc request: TMPDIR HOT 1
- training.py: Unused test set? HOT 3
- Pip install error from official 1.1.0 tarball HOT 4
- Installation on a cluster redux HOT 6
- could not convert string to float: FIRM56_P641593085 HOT 4
- Test failed HOT 3
- Python2 dependency in conda HOT 1
- problem reading multiple files HOT 9
- Gene Sequences in Fasta HOT 2
- How the performance would be for metatranscriptomes? HOT 2
- question: calculation of RPKG HOT 1
- MicrobeCensus is not using all the reads when set to a large number HOT 3
- TypeError: 'NoneType' object is not iterable HOT 5
- "Could not import module 'numpy'" HOT 3
- Something wrong when put 'python setup.py install' HOT 1
- differences with other normalization methods HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from microbecensus.