DeePhage VS PhaMers

Compare DeePhage vs PhaMers and see what are their differences.

DeePhage

A tool for distinguish temperate phage-derived and virulent phage-derived sequence in metavirome data using deep learning (by shufangwu)

PhaMers

A bioinformatic tool for identifying bacteriophages using machine learning and k-mers (by jondeaton)
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DeePhage PhaMers
1 1
19 6
- -
3.9 10.0
6 months ago almost 5 years ago
MATLAB Python
GNU Lesser General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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DeePhage

Posts with mentions or reviews of DeePhage. 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
    Deephage and PPR-meta: both by the same group. They require MATLAB which makes them tricky on an HPC or cloud system. They both say that if you need to run on several samples concurrently, you must clone the tool to a new directory for each(!). Likely due to temporary files being written to the working directory. Entirely unscalable in that case.

PhaMers

Posts with mentions or reviews of PhaMers. 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
    PhaMers: several open issues. I opened the one about bad FASTA header parsing. But even when I reformat my headers so that works, new errors pop up (which I didn't bother opening issues for since they were unresponsive to others). Also, output is written to current working directory which is annoying.

What are some alternatives?

When comparing DeePhage and PhaMers you can also consider the following projects:

PPR-Meta - A tool for identifying phages and plasmids from metagenomic fragments using deep learning

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

VirusSeeker-Virome - VirusSeeker is a set of fully automated and modular software package designed for mining sequence data to identify sequences of microbial origin.

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

virMine

RNN-VirSeeker - This is a deep learning method for identification of viral contigs with short length from metagenomic data.

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

ViraMiner - CNN based classifier for detecting viral sequences among metagenomic contigs