virMine VS RNN-VirSeeker

Compare virMine vs RNN-VirSeeker and see what are their differences.

RNN-VirSeeker

This is a deep learning method for identification of viral contigs with short length from metagenomic data. (by crazyinter)
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virMine RNN-VirSeeker
1 1
18 8
- -
0.0 0.0
about 2 years ago over 2 years ago
Python Python
MIT License -
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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virMine

Posts with mentions or reviews of virMine. 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
    VirMine: docker container can't be built due to outdated and unavailable dependencies. Even with that resolved myself, they install a package that needs CLI input during container building which cannot be supplied so it gets stuck in a loop. Cannot be installed.

RNN-VirSeeker

Posts with mentions or reviews of RNN-VirSeeker. 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
    RNN-Virseeker: hard coded paths to training and actual data, so source code must be edited for it to be used. Bad practice and unscalable. Also, they don't follow Python conventions. test.py is generally meant to indicate a unit/integration test file for something like pytest, but in their "tool" that is the actual tool's file name.

What are some alternatives?

When comparing virMine and RNN-VirSeeker you can also consider the following projects:

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

PPR-Meta - A tool for identifying phages and plasmids from metagenomic fragments 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.

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

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

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