DeSeq - Differential Gene Expression Analysis on RNA-seq data

DeSeq - Differential Gene Expression Analysis on RNA-seq data - R Tutorial

Deseq is one of the most commonly used package to calculate differential gene expression using R. In the following video, we using windows OS and R software to perform different expression analysis using DESEQ2 package. However, the same method can be performed on any of the following platforms:

Mac
Windows
Linux

The following video will guide you through the steps of Deseq analysis.

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Trimming of FastQ file (Trimmomatic) - Step 4

The poor quality reads and potential adapter sequences present in your file can be removed using the trimmomatic algorithm. The following video will guide you through the process of how to remove the poor quality reads from your fastq file. #Adapater #Sequences #Linux #Ubuntu

SPSS FOR BIOLOGISTS: Forecasting Analysis using IBM Statistics

EXPECTED OUTCOME OF COVID 19 USING FORECASTING ANALYSIS Forecasting is basically a statistical approach to make predictions for the future on the basis of past or present observation.In biological terms, this approach is quite beneficial for the researchers to give predictions about any pandemic situation on the basis on previous knowledge/observation. For instance,We can calculate the substantial number of the patients that are going to be affected using Forecasting Analysis. AIM OF THIS TUTORIAL In this tutorial we try to explain about the current COVID 19 Pandemic situation respectively in Pakistan.We have the corresponding data about the patients per million for 4 weeks.On this basis ,we have predicted the increase in numbers for next 7 days by applying forecasting Analysis For more details about how to do Forecasting Analysis watch the video THANK YOU!!

A Complete Guide for Autodock Vina

Hello Everyone, In the following video we will explain how to use Autodock Vina for Molecular Docking. The video contains details about Downloading Installation Protein-Ligand Docking Tutorial

Farhan's blogs: An Optimistic View of a Bioinformatician

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