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healthvivo's Projects

dedup icon dedup

A merged read deduplication tool capable to perform merged read deduplication on single end data.

deepest-fusion icon deepest-fusion

DEEPEST-Fusion is a fusion detection algorithm specially designed for screening massive cancer sequencing databases

deephf icon deephf

Core code for the DeepHF prediction tool

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepromoter icon deepromoter

Pytorch implementation of DeePromoter Active sequence detection for promoter(DNA subsequence regulates transcription initiation of the gene by controlling the binding of RNA polymerase)

deepvariant icon deepvariant

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

detect-seq icon detect-seq

An unbiased method for genome-wide CBE off-targets assessment

dgidb icon dgidb

Rails frontend to The Genome Institute's drug gene interaction database.

dnafeaturesviewer icon dnafeaturesviewer

:eye: Python library to plot DNA sequence features (e.g. from Genbank files)

docgpt icon docgpt

ChatGPT directly within Google Docs as an Editor Add-on 📑

drmaav2-mock icon drmaav2-mock

Reference implementation of the DRMAAv2 C Language Binding

drugbank icon drugbank

User-friendly extensions of the DrugBank database

dsnickfury3plusorchid icon dsnickfury3plusorchid

dsNickFury is for comparing a CRISPR target site against all other potential sites in a genome. Orchid is a package I'm developing to go with it for iterative CRISPR analysis over an exome.

eagle icon eagle

Enhanced Artificial Genome Engine: next generation sequencing reads simulator

editr icon editr

EditR: an algorithm for simple and cost effective measurement of base editing by quantifying Sanger trace fluorescence

elevation icon elevation

End-to-end guide design for CRISPR/Cas9 with machine learning

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