NanoSim VS deepvariant

Compare NanoSim vs deepvariant and see what are their differences.

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. (by google)
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NanoSim deepvariant
1 5
213 3,078
3.3% 1.5%
5.6 9.1
about 2 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.
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

deepvariant

Posts with mentions or reviews of deepvariant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-06.

What are some alternatives?

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

bonito - A PyTorch Basecaller for Oxford Nanopore Reads

galaxy - Data intensive science for everyone.

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

masurca

scanpy - Single-cell analysis in Python. Scales to >1M cells.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Biopython - Official git repository for Biopython (originally converted from CVS)

af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

slivar - genetic variant expressions, annotation, and filtering for great good.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

DnaChisel - :pencil2: A versatile DNA sequence optimizer