adong (adong77)

adong77

Geek Repo

Company:ZJGSU

Location:Hangzhou, China

Home Page:http://blog.ligene.cn

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adong's repositories

bigbook

Bioinformatics and Genomics

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adong77.github.io

adong's blog

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BioScript

Bioinformatics Scripts

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BioScripts

Scripts for bioinformatics data processing and analysis

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ChatGPT_Bioinformatics

Data and code from "Many bioinformatics programming tasks can be automated with ChatGPT"

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CompBioNSF-Module

Code for module presented at Carleton College, September 29, 2018

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Deep-Learning-MHCI

For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflow

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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Deep_learning_examples

Examples of using deep learning in Bioinformatics

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DeepTCR

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

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DeepVirFinder

Identifying viruses from metagenomic data by deep learning

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ERGO

ERGO is a deep learing based model for predicting TCR-peptide binding.

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flask_fullstack

Python全栈开发配套代码

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FRAMA

FRAMA: From RNA-seq data to annotated mRNA assemblies

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gdkm

Genome Database of Kimchi-associated Microbes (GDKM) is an integrated data management system that produces genomic information of the microorganisms associated with Korean fermented vegetables (kimchi) and makes standardized genome data available to researchers in academia and industry.

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ITG-WEBBook

《React工程师修炼指南》相关源码

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monetizing-machine-learning

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

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netTCR

predicting peptide and TCR interaction

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News-Websites-Crawling-And-Searching

This is a web project about crawling and searching news websites by node.js.

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NG-Tax

NG-Tax is an improved pipeline for 16S rRNA gene amplicon sequencing data. Several novel steps ensure improved robustness against errors associated with technical aspects of these studies, such as PCR protocols, choice of 16S rRNA gene variable region and variable rates of sequencing error. The commonly reported problems such as many un- or poorly classified OTUs, inflated richness and diversity, taxonomic profiles that do not match the expected ones, region dependent taxonomic classification and results being highly dependent on minor changes in the experimental setup have been tackled with NG-Tax.

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Qiime16sTutorial

A tutorial on methods of 16S analysis with QIIME 1

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Repitope

Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.

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SARS-CoV-2

Initial analysis of COVID-19 data using Galaxy, BioConda and public research infrastructures

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scripts

Bioinformatics projects and code shared by Zhi John Lu

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software-tools-review

Code used to generate figures for software tools review

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vsearch_example

An example of 16S analysis using VSEARCH

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