DNABERT Alternatives
Similar projects and alternatives to DNABERT
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courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI) (by SkalskiP)
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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bioconvert
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
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datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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stanford-tensorflow-tutorials
Discontinued This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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DNABERT discussion
DNABERT reviews and mentions
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[D] New to DNABERT
If I want to get started, they said it's optional to pre-train (so you can skip to step 3). This is where I got tripped up: "Note that the sequences are in kmer format, so you will need to convert your sequences into that." From what I understand, you need to do this so that all of the sequences are the same length? So kmer=6 means all of the sequences are length 6? Someone suggested that I take the first nucleotide in the promoter and grab 3 nucleotides before and 3 nucleotides after (+/-3 bases). I don't think that's how the kmer thing works though? I tried replicating how I think it works down below (I got confused on the last row of the 'after' df). Please correct me if I'm wrong!
Stats
jerryji1993/DNABERT is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of DNABERT is Python.