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Bioinfoxpert
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Добавлен 4 ноя 2020
Data Science is an emerging field. Data driven decision making help to take better decisions in academia and industry. This channel aims to provide best possible information related to Bioinformatics and data science. Please like, share and subscribe. Lets begin this exciting journey.
How To Perform Z-test in R | Data Analysis Simplified in R Series (Part-21)
In this video tutorial, you will learn how you can perform the One Sample Z-test in R using the BSDA package. We hope this will be interesting for you and it will be easy for you to check your hypothesis using Z-test in R and R-studio
Просмотров: 9
Видео
How to Perform Logistic Regression in R | Data Analysis Simplified in R Series (Part-20)
Просмотров 1411 часов назад
In this video tutorial, you will learn how to calculate Logistic Regression easily in R and R studio. This will help you to understand the logistic regression code logic in an easy way. We wish you good luck and in case of any confusion, please do not hesitate to contact us.
Master Biostatistics & Statistics: New Course Launch
Просмотров 1073 месяца назад
Click on the Link to Join the Course: Learn Statistics and Biostatistics for Data Analysis From Scratch With R www.udemy.com/course/learn-statistics-biostatistics-data-analysis-from-scratch/?referralCode=2F76C95776E79BDB8435 Our Other Three Courses: (1) Learn Bulk-RNA-Seq Data Analysis From Scratch www.udemy.com/course/rnaseq_data_analysis/?referralCode=037B0C541D07449A82B3 (2) Learn Docking an...
Perform Ligand Protein Docking in 2 min With AutoDockVina (Swiss-Dock)
Просмотров 8163 месяца назад
In this video, we wille explain you that how you can perform ligand protein docking with Autodock Vina in just 2 mins using Swiss Dock server. This procedure is pretty easy and straight forward and you do not need to download anything in your system, We hope you will like this Ligand protein docking video and find it easy to use Autodock Vina with SwissDock server.
How to Visulize multiple Regression Plot in R | Data Analysis Simplified in R Series (Part-19)
Просмотров 2004 месяца назад
Prepare to be amazed! In this eye-opening episode of our Data Analysis Simplified in R series, we reveal the secret to creating stunning multiple regression plots in R. Watch till the end to become a data visualization pro! Don’t forget to subscribe and hit the bell icon for more jaw-dropping data analysis tutorials!
How to Build Multiple Linear Regression in R | Data Analysis Simplified in R Series (Part-18)
Просмотров 1144 месяца назад
In this video tutorial you will learn how you can build the multiple linear regression models in R. Please keep in mind that multiple linear regression models are practically more applicable than the Simple linear regression model. This is basically natural extension of simple linear regression. We hope you will like this video of multiple linear regression and share it with others.
How to Build Simple Linear Regression in R | Data Analysis Simplified in R Series (Part-17)
Просмотров 1465 месяцев назад
In this video tutorial, you will learn how you can build simple linear Regression in R. We will let you know step by step process to understand the application of R in building simple linear regression. Please like share and subscribe to our channel for more such videos
How to Use ggplot2 to Make Beautiful Visulization|Data Analysis Simplified in R Series (Part-16)
Просмотров 4046 месяцев назад
Welcome to Part 15 of our "Data Analysis Simplified in R" series! In this episode, we dive deep into using ggplot2, one of the most powerful and flexible visualization packages in R. Whether you're a beginner or looking to enhance your data visualization skills, this tutorial is perfect for you! 📊 In this video, you'll learn: How to create stunning visualizations using ggplot2 Step-by-step guid...
Pearson Correlation in R | Data Analysis Simplified in R Series (Part-15)
Просмотров 2106 месяцев назад
Unlock the power of data analysis with our "Pearson Correlation in R | Data Analysis Simplified in R Series (Part-14)" video. Dive into the essentials of Pearson Correlation using R, a crucial technique for understanding relationships between variables. This tutorial is perfect for beginners and data enthusiasts looking to expand their analytical skills. Learn how to calculate and interpret Pea...
Learn How To Use AlphaFold3 with a Practical Demo | Bioinformatics is Easy
Просмотров 2,5 тыс.6 месяцев назад
Learn How To Use AlphaFold3 with a Practical Demo | Bioinformatics is Easy
Calculate Mean, Median & Mode in R | Data Analysis Simplified in R Series (Part-4)
Просмотров 5058 месяцев назад
Calculate Mean, Median & Mode in R | Data Analysis Simplified in R Series (Part-4)
Calculating of the Mode of Categorical Data | Data Analysis Simplified in R Series (Part-10.1)
Просмотров 1988 месяцев назад
Calculating of the Mode of Categorical Data | Data Analysis Simplified in R Series (Part-10.1)
How to Build HeatMap, Mosaic plot & Bar Chart Categorical Data|Data Analysis Simplified in R (Part14
Просмотров 1868 месяцев назад
How to Build HeatMap, Mosaic plot & Bar Chart Categorical Data|Data Analysis Simplified in R (Part14
How to Build a Contingency Table of Categorical Data | Data Analysis Simplified in R (Part-13)
Просмотров 1528 месяцев назад
How to Build a Contingency Table of Categorical Data | Data Analysis Simplified in R (Part-13)
Making Bar Plot, Pi Plot and Dot Plot for Categorical Data | Data Analysis Simplified in R (Part-12)
Просмотров 1558 месяцев назад
Making Bar Plot, Pi Plot and Dot Plot for Categorical Data | Data Analysis Simplified in R (Part-12)
Converting Numeric Datatype to Categorical Data | Data Analysis Simplified in R Series (Part-11)
Просмотров 2218 месяцев назад
Converting Numeric Datatype to Categorical Data | Data Analysis Simplified in R Series (Part-11)
Percentages & Proposition of Categorical Data | Data Analysis Simplified in R Series (Part-10.2)
Просмотров 1668 месяцев назад
Percentages & Proposition of Categorical Data | Data Analysis Simplified in R Series (Part-10.2)
Building Frequency Table For Categorical Data | Data Analysis Simplified in R Series (Part-9)
Просмотров 1928 месяцев назад
Building Frequency Table For Categorical Data | Data Analysis Simplified in R Series (Part-9)
Psych Package to calculate Descriptive statistics | Data Analysis Simplified in R Series (Part-8)
Просмотров 2348 месяцев назад
Psych Package to calculate Descriptive statistics | Data Analysis Simplified in R Series (Part-8)
Calculate Variance in R | Data Analysis Simplified in R Series (Part-7)
Просмотров 1618 месяцев назад
Calculate Variance in R | Data Analysis Simplified in R Series (Part-7)
How to Caluclate Standard Deviation in R | Data Analysis Simplified in R Series (Part-5)
Просмотров 1938 месяцев назад
How to Caluclate Standard Deviation in R | Data Analysis Simplified in R Series (Part-5)
Calculate Interquartile Range (IQR) in R | Data Analysis Simplified in R Series (Part-6)
Просмотров 2448 месяцев назад
Calculate Interquartile Range (IQR) in R | Data Analysis Simplified in R Series (Part-6)
How to Build Graphs in R to See Distribution of Data | Data Analysis Simplified in R Series (Part-3)
Просмотров 8058 месяцев назад
How to Build Graphs in R to See Distribution of Data | Data Analysis Simplified in R Series (Part-3)
Learn Biostatistics and Big Data Analysis From Scratch
Просмотров 3549 месяцев назад
Learn Biostatistics and Big Data Analysis From Scratch
Unlocking the Future, Machine Learning in Bioinformatics.
Просмотров 11310 месяцев назад
Unlocking the Future, Machine Learning in Bioinformatics.
Mastering RNA-Seq Data Analysis: A Comprehensive Tutorial for Beginners
Просмотров 10610 месяцев назад
Mastering RNA-Seq Data Analysis: A Comprehensive Tutorial for Beginners
Principal Component Analysis in Statistics | A Simple Concept (Part-1)
Просмотров 326Год назад
Principal Component Analysis in Statistics | A Simple Concept (Part-1)
Bulk RNA-Seq Data Analysis From Scratch (Theory and Practical)
Просмотров 1,3 тыс.Год назад
Bulk RNA-Seq Data Analysis From Scratch (Theory and Practical)
Unlock the Secrets of MD Simulations Using Gromacs: From Theory to Application (Webnair)
Просмотров 9 тыс.Год назад
Unlock the Secrets of MD Simulations Using Gromacs: From Theory to Application (Webnair)
Extraordinary teaching methodology, sir👏👏
Thank you so much for your kind words.
Hello sir.. I'm doing targeted docking . Is it necessary that the ligand should be in the grid box?
Hi, I am not getting the link to the third-party tool. Please reply the link in this comment. Thank you.
hello! I have 2 -pentameric rings in my protein. how can I use alphafold3 to get its structure?
Yes you can
Great tutorial video. Easy to understand for beginners like me. 👍
Nice video! If you want to know more about visualization of ligand-protein interactions have a look at our channel.
sir why it(R ) dont mix "data=data" both are holding differetn information ... ? i hope I'm clear to you... the sec data is our variable holding data and first one is "argument " , how R differtiate both , while other language mostly dont differentiate ..
Sir can Pearson correlation be helpful for analyzing "conditional probability"...?
it's fascianting, really easy, thank you so much for your efforts 😊
video is blur🥲
really really fascinating 😊😊
Thanks for your comment
it's just amazing... "psych" , really interesting , THANK YOU👏
Thanks
Thank you sir , it's really helpful... Alhamdulilah
JazakAllah
mode <- function(x) { uniqx <- unique(x) return(uniqx[which.max(tabulate(match(x, uniqx)))]) } unique(x) finds the unique values in the input vector x. tabulate(match(x, uniqx)) counts the occurrences of each unique value in x. which.max(tabulate(match(x, uniqx))) finds the index of the most frequent value. uniqx[which.max(tabulate(match(x, uniqx)))] returns the most frequent value from the unique values.
💕
much interesting, and easy...Thanks alot
You are welcome!
can we do this on laptop?
i have another question, how to use Fe or any other metal on GROMACS.
Hi I want to do the course on simulation, docking modeling. Can you help me
Yes you are welcome. We have course on udemy plz click on link below to get enrolled www.udemy.com/course/bioinformatics_advance/?couponCode=TOAB1MDSIMULATION
Wyman Station
Hello, the gromacs is unable to install after 4th command wget as you mentioned in your video. Its says an error and file bot found ?
Corkery Pine
Hello sir, I have to do MD Simulation for protein, are that command’s still working for any protein ?
Dear yes, ofcourse do not hesitate to use them
🥰
thanks
Thank you for wonderful work. Is it necessary that nvt npt and md production time should be same or nvt and npt may be less than final md production
It's not necessary for the NVT, NPT, and MD production times to be the same. Typically, NVT and NPT are equilibration steps, where you allow the system to stabilize at the desired temperature (NVT) and pressure (NPT) before running the production MD simulation. The equilibration time (NVT and NPT) is often shorter than the production MD simulation, which can be run for a longer period to gather sufficient statistical data. So, you can have shorter NVT and NPT phases, and a longer final MD production run. The key is ensuring that the system is well-equilibrated before starting the production MD.
Sir, Do we to choose same nucleotide's different sequences?
It depends upon on your analysis. If you want to compare two different genes then you need to select two different sequence. If you want to see mutation in your gene then you need to put same sequences, one wild-type and other mutated.
This lecture was incredibly informative and helpful 😊
Glad it was helpful!
Thanks ❤😂
Weclome dear
@@bioinfoxpert HBB gene 147*🧬 biological treatment honey 👌 docking gpcrs 7
Sir when will your new course be available in udemy
Very soon
Please like share and subscribe. Please feel free to contact us at datascienceandbioinfo@gmail.com
Please like share and subscribe 🎉
Sir i have tried as shown in video When i tried script1.py It shows cannot open logfile script1.log : permission denied Not understanding what's the issue
Please run the Modeller as adminstrator. You will not find any issue. We hope it will work for you
Like, share and subscribe
Well Explained
Thank you @RabiaP
Thanks.... Massively Informative.... Is there any platform that provide free certification too?
Yes you can go to edx or coursera
@@bioinfoxpert Thank you
Wasting time
Thank you very much for your support.
The video content is wonderful. But I have a question, I was recently exploring the structure of a protein (Q06890 - CLUS_MOUSE) using AF3, and although the AF predicted tertiary structure of this protein is provided on Uniprot, it does not have the signal peptide removed from the amino acid chain. Therefore, I was going to use AF3 to predict the structure of CLU after the signal peptide was sheared. But CLU has multiple post-translational modifications especially glycosylation. I am going to enter the remaining amino acid sequences after removing the signal peptide amino acids into AF3 for prediction, do I need to edit the PTM option after entering the amino acid sequences? Or do I just input these sequences directly for AF3 to predict?
We have replied your comment
@@bioinfoxpert Hi I somehow don't see the reply could you put it here
Have any questions about visualizing multiple regression plots in R? Drop them below, and I'll be happy to help! Also, let me know what topics you'd like to see in future videos.
Amazing
Many thanks for your comment. Obliged
Very nice tutorial.
Thank you! Cheers!
Please like share and subscribe
Thank you very much for the video! <3 I am calculating a linear model for a questionnaire where the variables have 5 levels (Likert scale from 1 = very good to 5 = very bad). I am unsure whether to treat these variables as factors or as numeric; is there a standard rule for this?
Dear It will be great if you convert them into factor first and then use in Simple linear regression you can use as.factor() function to convert the variable if it is in form of number. We hope ot will work for you
There is one website - quandlelabs where you can perform docking with many tools faster than this
Sir if both red and blue show the positive peak at the same time, then how to interpret it?
Sometime, there may be confusion on certain regions. These overlaping peaks are letting us that these regions of the amino acids have equal tendency to make alpha-helix and beta-sheet. To understand this concept in more details we will request you to see the chou-Fasman algorithm.
So easy and well explained.
Glad you think so!
can u plz tell.me what is misscaleneous database
Sorry we could not understand your question properly. can you please ask again
Hi Sir, I'm having some trouble accessing the online tutor links you provided. The webpage isn't loading properly, and I can't see the options clearly. Could you please help me resolve this issue or provide alternative resources? Thank you for your support ❤
Actually it old streming. May be the website is down now.
@@bioinfoxpert okay, thank you sir for letting me know. How can I report this issue or get assistance?
@@ArtistryCorner26 you may contact the service provider or company website owner please
Thanks for the tutorial, though I’m having trouble installing the plugin, says rendering has been installed but initialization failed. How do you fix it?
Can you please send us screenshot at our email please
This video is part of your biostatistics course know sir? Eagerly waiting for the course and damn sure its rating will be 5/5. Your way of teaching is awesome sir. By the way happy bakrid to you in advance sir
Soon it will be online dear. Thanks for your kind words
I happen to see this video when I was watching something in AI. FOr a novice like me do you have any reference to what exactly and how exactly this is used. After you got the model what do you do? any links for absolute basic stuff?
Dear @aedecded, many thanks for your comment. The Alpha-Fold is considered as game changer with great capability to predict 3D structure of protein with high accuracy. As you may know that we all made up of proteins. Proteins are basic structural and functional unit of life and if you really understand the basic functions of the life then you need to have 3D structure of proteins. These 3D structures can further help us to design better theraputics. For instance, drugs to cure HIV were designed when we came to know about its polymerase protein. So, this is really important to have good idea about 3D structure. Therefore, Alpha-fold is pretty important.