Genome VS bioinformatics

Compare Genome vs bioinformatics and see what are their differences.

Genome

Genome Network Ala Neural Network (by DanShai)
neural-network genetic-programming Tsne Classification Regression kernels Optimization Genome Network gene-network
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bioinformatics

Bioinformatic algorithms for the UCLA Bioinformatics Specialization (by ashinzekene)
Bioinformatics Genome
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Genome bioinformatics
1 1
3 3
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2.7 6.5
about 3 years ago 8 months ago
Python Python
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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.

Genome

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

bioinformatics

Posts with mentions or reviews of bioinformatics. We have used some of these posts to build our list of alternatives and similar projects.
  • Coding
    1 project | /r/biotech | 28 Apr 2023
    https://github.com/ashinzekene/bioinformatics This requires more coding skills but goes over some common algorithms in bioinformatics

What are some alternatives?

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

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

masurca

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

OSGenome - An Open Source Web Application for Genetic Data (SNPs) using 23AndMe and Data Crawling Technologies

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

deepvariant - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

NanoSim - Nanopore sequence read simulator

dash - Data Apps & Dashboards for Python. No JavaScript Required.

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

Genome vs lazypredict bioinformatics vs masurca Genome vs MLBox bioinformatics vs OSGenome Genome vs deep-kernel-transfer bioinformatics vs deepvariant Genome vs AlphaPy bioinformatics vs NanoSim bioinformatics vs dash bioinformatics vs Biopython