NanoSim VS Genome

Compare NanoSim vs Genome and see what are their differences.

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NanoSim Genome
1 1
213 3
3.3% -
5.6 2.7
about 2 months ago almost 3 years ago
Python Python
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NanoSim

Posts with mentions or reviews of NanoSim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-26.
  • Raw nanowire sequencer data
    2 projects | /r/bioinformatics | 26 Jun 2021
    Alternatively, you can make your own data using NanoSim. I haven't used it myself yet but it generates signal level files with similar error profiles to the real thing. https://github.com/bcgsc/NanoSim

Genome

Posts with mentions or reviews of Genome. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing NanoSim and Genome you can also consider the following projects:

bonito - A PyTorch Basecaller for Oxford Nanopore Reads

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

MLBox - MLBox is a powerful Automated Machine Learning python library.

deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

AlphaPy - Python AutoML for Trading Systems and Sports Betting