Revolutionizing DNA analysis and making it accessible to all through innovative AI-powered analysis and interpretive tools.
Note: Some features mentioned below will be rolling out to users over the next couple of weeks as we haven't finished verifying its reliability
Today, we are proud to introduce DNA.I., a groundbreaking open source project that brings the power of machine learning to DNA analysis. DNAnalyzer is the first and only tool that lets you explore, understand, and discover the secrets of your DNA sequences with ease and elegance. DNAnalyzer is built on DNA.I., a revolutionary ML-based framework that can reveal the hidden patterns and properties of DNA sequences, such as gene expression, methylation, transcription factors, and more.
DNA.I. uses cutting-edge deep learning models and techniques to learn from massive genomic data and generate stunning insights. DNA.I. can also do amazing things like sequence alignment, motif discovery, and annotation. DNA.I. is designed to be flexible and modular, so you can tailor your analysis pipelines and integrate your own data sources.
Some of the amazing features of DNAnalyzer v3.0.0-beta.0 are:
To download the new DNAnalyzer, please visit our GitHub repository: https://github.com/VerisimilitudeX/DNAnalyzer/releases
To learn more about DNA.I. and how it works, please read our upcoming research paper (releasing on 8/31/2023): A ML-Based Analysis of DNA
As always, thank you for your support and interest in DNAnalyzer! 🧬
Full Changelog: https://github.com/VerisimilitudeX/DNAnalyzer/compare/v2.1.1...v3.0.0-beta.0
The project may seem to have been relatively quiet for the past couple of weeks, but in reality, the team has been hard at work revamping the project and recruiting new contributors. Stay tuned for more updates as we continue to incorporate machine learning into DNAnalyzer. Expect the next release to be a big one!
To download the source files, expand the "Assets" section below and choose either the zip or tar.gz file, depending on your operating system. Once downloaded, you can run the program using the command line interface (CLI) commands explained in the README or via the new GUI.
Video tutorial on installation and usage: https://youtu.be/dOwkInn6eDw
As always, thanks everyone for your contributions! I'll see you all in the next release. 👋
Full Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v2.1.0...v2.1.1
Thanks, @frankschmitt for implementing a cross-platform GUI application for DNAnalyzer. Currently, it supports the following features:
The Met CLI continues to be the best way to run the program, with more features to be added to both in the future.
Thanks, @krishnabiradar310802 for developing a website that creates awareness for DNAnalyzer and outlines the main features. It is accessible via https://www.dnanalyzer.live/ and is hosted on GitHub Pages. We are currently working on linking the backend to the frontend with the help of @aryanagrawal8808. @zackwebster and @BLUE-DEVIL1134 who are working on improving the frontend code.
As always, thanks, everyone for your contributions! I'll see you all in the next release.
Full Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v2.0.0...v2.1.0
Full Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v1.2.2...v2.0.0
Full Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v1.2.1...v1.2.2
DNAnalyzer.jar
/ DNAnalyzer.rar
/ DNAnalyzer.zip
Main.java
which can be found under the files
folderFull Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v1.1.0...v1.1.5
DNAnalyzer.jar
/ DNAnalyzer.rar
/ DNAnalyzer.zip
Main.java
which can be found under the files
folderFull Changelog: https://github.com/Verisimilitude11/DNAnalyzer/compare/v1.1.0...v1.2.0
Algorithm-for-Analyzing-Genes-in-DNA.zip
entrypoint.java
which can be found under the files
folderFull Changelog: https://github.com/Verisimilitude11/Algorithm-for-Analyzing-Genes-in-DNA/compare/v1.0.0...v1.1.0
This release introduces the capability to parse .fa (FASTA files). In bioinformatics, the FASTA format is a text-based format for representing either nucleotide sequences or amino acid (protein) sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences. The format originates from the FASTA software package, but has now become a near universal standard in the field of bioinformatics.
files.jar
and docs.zip
entrypoint.java
Full Changelog: https://github.com/Verisimilitude11/Algorithm-for-Analyzing-Genes-in-DNA/compare/v1.0.0-beta.0...v1.0.0