NanoSim
Nanopore sequence read simulator (by bcgsc)
Genome
Genome Network Ala Neural Network (by DanShai)
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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.
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
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.
-
fun project : an alternative to neurons
a fun project i made a while back. hope you like : genome network
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