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A Bioinformatics Platform to Gain Bioinformatics Skills in Python, R, Linux, NGS, Single-Cell Genomics & Metagneomics | Get Analysis Services & Consultancy

Islamabad, Pakistan
Joined July 2020
Get highly quality molecular docking and molecular dynamics simulation services for your proteins/ligands. If you do not have ligands, we can dock your protein, against thousands of ligands within 24 hours and provide you top 10 ligands for your proteins.
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1/ Single cell genomics (scRNA-seq & scATAC) is a fascinating field of Bioinformatics that focuses on analyzing the large-scale genetic material (expression, epigenetics, variations) of individual cells to gain insights into their molecular properties.
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(Thread) One of the most interesting questions that people ask is “how do I get started with single-cell RNA-seq analysis?” Here's a step-by-step workflow guideline that can help you get started:
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BioCode is offering a Hands-on #NGS (Whole Genome Sequencing) Variant Calling for Microbial Genomics #course. Join Hands-on NGS (Whole Genome Sequencing) Variant Calling for Microbial #Genomics Course: bit.ly/3J6sS76 #Biotechnology #Bioinformatics #Proteomics #Microbes
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In BioCode's Manipulation of Biological #Datasets Using Dplyr & TidyR for #MachineLearning & #DataScience #course you'll learn preprocessing #biological data for projects. Join Manipulation of Biological Datasets in R using Dplyr & TidyR: bit.ly/Dplyr-TidyR #Bioinformatics
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In BioCode's Introduction to Anaconda & Jupyter-notebook #course you'll learn how to install & use Anaconda & Jupyter-Notebook for #bioinformatics data analysis & #visualization Join Introduction to Anaconda and Jupyter-Notebook for Bioinformatics Course: bit.ly/Anaconda-Jupyter
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Exploratory Data Analysis (EDA) plays a vital role in identifying patterns/trends/anomalies in #biological #datasets & developing models that can help in predicting outcomes. Join BioCode’s EDA in #Python for #MachineLearning in #Bioinformatics #Course: ​​bit.ly/EDA-BioCode
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BioCode is introducing Single-Cell RNA-Seq Data Analysis Using Command-Line & R Course to provide #bioinformatics researchers with necessary skills to analyze scRNA-seq data Join Single-Cell RNA- Seq Data Analysis Using Command-Line & R Course: bit.ly/Single-Cell-RNA-Seq-R #Genomics
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In BioCode's #Cancer #Genomics: NGS (Whole #Genome Sequencing) course students learn how to analyze #NGS data & perform variant calling using #Linux. Join Cancer Genomics: NGS (Whole Genome Sequencing) Variant Calling Using Linux #Course: bit.ly/WGS-Linux #Bioinformatics
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BioCode is offering a hands-on single-cell RNA-seq data analysis using #Python #course for beginners & advanced #researchers in life #sciences. Join BioCode’s Hands-on: Single-Cell RNA-Seq Using Python Course: bit.ly/Single-Cell-RNA-Seq-P… #Bioinformatics #Genomics #Programming #code
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