Giter VIP home page Giter VIP logo

grodon's Introduction

This code is left as a historical record but if you wish to do growth prediction please use new gRodon2 which has an updated (and much improved) metagenome_v2 mode and can also predict max growth rates for eukaryotic microbes at https://github.com/jlw-ecoevo/gRodon2. Code in this repository is no longer updated/maintained (whereas gRodon2 is maintained)

grodon's People

Contributors

jlw-ecoevo avatar housw avatar

Stargazers

ChenHuilong avatar Xiu Jia avatar Marie avatar Alberto Pascual-García avatar Stevin Wilson avatar Yoshiki Vázquez Baeza avatar  avatar  avatar Léonard Dubois avatar Andrei Prodan avatar Jin Shim avatar KTM avatar Martin Ostrowski avatar qyliang avatar Susheel Bhanu Busi avatar Greg Medlock avatar Christian Diener avatar

Watchers

Jesse McNichol avatar  avatar  avatar

grodon's Issues

slow growers

Hi,

Thank you very much for developing this excellent tool.

I am particular interested in the slow growers. I generate MAGs and I found that a majority of my MAGs have minimum doubling time > 5 hours (mostly between 5 to 30), but it seems that your tool might largely underestimate the minimum doubling time if it is > 5 hours. Is it still appropriate to compare the minimum doubling time among my MAGs? The tool might underestimate, but maybe the predicted minimum doubling time is still comparable among slow-growing MAGs?

I am trying to link the MAG growth rate to their distribution pattern. It is impossible to do the analyses if I only report all my MAGs have > 5 hours. Or do you have a better idea to compare the minimum doubling time among slow growers?

metagenome mode for MAG?

Hi,

Does it make sense if I use metagenome mode for MAGs? The results I obtain from metagenome mode is in line with my expectations because the MAGs with longer doubling time tend to be dominant in nutrient-poor samples.

However, I found the results from metagenome mode is inversely related to the results from partial mode (see the figure attached). In the preprint and vignette you seem to prefer using partial mode for MAGs?
Rplot01.pdf

The fasta file for metagenome I should choose

Hi
I am really interested in your R package gRodon. I am checking the potential to use it in metagenomics data. In metagenomic mode, should I use MAGs as genome fasta input? Thanks a lot!

Best,

Weighted metagenome mode

Hi, I have been using gRodon in the metagenome mode but want to try running the weighted option. But it is unclear to me how the median depth is calculated. I am using Prokka to annotate my metagenome assemblies. Is there a way to use the output from Prokka to calculate the read depth?

Thanks for your help!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo 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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.