ViraMiner VS Cenote_Unlimited_Breadsticks

Compare ViraMiner vs Cenote_Unlimited_Breadsticks and see what are their differences.

ViraMiner

CNN based classifier for detecting viral sequences among metagenomic contigs (by NeuroCSUT)

Cenote_Unlimited_Breadsticks

DEPRECATED: Discover divergent virus sequences, prune flanking cellular sequences, make basic report (by mtisza1)
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ViraMiner Cenote_Unlimited_Breadsticks
1 1
28 6
- -
10.0 2.7
over 3 years ago 4 months ago
Python Shell
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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ViraMiner

Posts with mentions or reviews of ViraMiner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-18.

Cenote_Unlimited_Breadsticks

Posts with mentions or reviews of Cenote_Unlimited_Breadsticks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-18.
  • Bad tools that NEED improvement
    11 projects | /r/bioinformatics | 18 Dec 2021
    Cenote Unlimited Breadsticks: I have run ~160k simulated contigs of various lengths through this tool, and none have been predicted as phage. I haven't openened an issue yet because I need to make sure it isn't on my end and that I can give a reprex. Also, you cannot choose the output directory, so it clutters your working directory.

What are some alternatives?

When comparing ViraMiner and Cenote_Unlimited_Breadsticks you can also consider the following projects:

metaGEM - :gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

virnet - VirNet: A deep attention model for viral reads identification

DeePhage - A tool for distinguish temperate phage-derived and virulent phage-derived sequence in metavirome data using deep learning

PhaMers - A bioinformatic tool for identifying bacteriophages using machine learning and k-mers

MetaRon - Metagenomic opeRon Prediction pipeline. MetaRon presents the first pipeline for the prediction of metagenomic operons without any functional or experimental data.