PseudoBio-Pterophyta

Announcement!! 📌⬇️

ประชาสัมพันธ์เชิญชวนเข้าร่วมโครงการประกวดออกแบบตราสัญลักษณ์ (Logo) “สมาคมวิชาการชีวสารสนเทศแห่งประเทศไทย (สวช.) Bioinformatics Academic Association of Thailand (BAT)”

รางวัลผู้ที่ได้รับคัดเลือก จำนวน 5,000 บาท
รายละเอียดโครงการ ดังนี้ https://cmu.to/VMqDH

สามารถส่งผลงานได้ตั้งแต่วันที่ 27 พ.ค. 67 - 10 มิ.ย. 67
ผ่านทาง E-Mail : [email protected]
สอบถามเพิ่มเติมโทรศัพท์ : 06 1296 6434 หรือ 0 5393 4673

Level up your research on Bioinformatics!

There's an exciting symposium happening tomorrow, April 30th, hosted by the University of Bern: IVI Bioinformatics Day!

This event dives deep into the world of genomics and bioinformatics, with presentations starting at 2:00 PM and running until 9:00 PM. (Thai Time)

Event Info: https://sites.google.com/view/bioinformatics-day/Home
Registration: https://docs.google.com/forms/d/e/1FAIpQLSdVoKZwi3hCD99pRc8zpsNNxIcYm6MtGTmuMgbCABgSEugy7w/viewform

I've already registered and received the Zoom link via email, so feel free to join me!

Note: If by 2:00 PM you have not received the Zoom link. Please feel free to message me personally to obtain the zoom.

Bioinformatics Day Event Timing: 30th April, 2024 Event Deadline for Registration: 25th of April, 2024 for "In-person" Event Address: Vetsuisse Faculty, University of Bern, Department of Infectious Diseases and Pathobiology, Länggassstrasse 122 Contact us: [email protected]

BioSheet_ep 1: Molecular and Genetic Biology

Click here for watermark-free file: https://drive.google.com/file/d/1xedO1nvmS1HhfwRj4g7_vgNOmDG3u5M4/view?usp=sharing

Today, I'd like to share my summary of Molecular and Genetic Biology with you. I remember that these challenging topics are a bit tough for me to connect all the relevant knowledge gained; they cover gene expression and control, programmed cell death, genetic concepts, and more. While I gather all the documents, it reminds me of how much time I invested in understanding them. So, I am really honored to share my struggles with you. Finally, have a great Songkran day!

Note: You can download it and share it with others if you want. Most of the content is in Thai.

Bioinfo_ep 1: InterPro 101: Tool for Protein Classification

Available notebook here:
- Colab notebook for InterPro access: https://colab.research.google.com/drive/1O0O6nKTYlM61WcLvouryKT_jDq65Zh_U?usp=sharing
- InterPro notebook:
https://drive.google.com/file/d/1apLJppu9m3McqZ_JkizTnm4zQKejjQFX/view?usp=drive_link

Note: I spend most of my day trying to understand InterPro and other protein databases. Again, I'm not an expert, just a learner. I may misunderstand some aspects, but feel free to access my document and correct me anytime.

Additional open source:
- InterPro website: https://www.ebi.ac.uk/interpro/
- InterPro document (highly recommend): https://interpro-documentation.readthedocs.io/en/latest/

Online tutorial:
- Accessing InterPro programmatically from EMBL-EBI: https://www.ebi.ac.uk/training/events/accessing-interpro-programmatically/
- Understanding InterPro families, domains and functions from EMBL-EBI:
https://youtu.be/YWQdfr4QFLI?si=hNydx8HbI2SAiZ4S

Tomorrow, there is an interesting activity related to genomics research from the Human Cell Atlas. I am planning to attend this seminar as well, so I would like to share it with everyone to be informed.
For more updates from the Human Cell Atlas: https://www.humancellatlas.org/events/ #

The next HCA Biological Network Seminar will focus on Spatial Genomics. Please join us on 11 April 2024, 10:30am-12 EDT / 3:30-5pm BST.
Registration and further information links in the comments below.
We hope you can join us.

Bioinfo_ep 1: Resources for Self-Study in R programming
1. OpenIntro
Link: https://www.openintro.org/
Cost: Free
Review: All-rounder material for studying statistics and programming. Most of this platform is free; you can get a PDF file of the textbook, video tutorials, and labs on real-world programming languages (R, Python, etc.). I strongly recommend this one!
2. Statistics Online from The Pennsylvania State University
Link: https://online.stat.psu.edu/statprogram/
Cost: Paid
Review: I have not applied for this platform, but it's a great way to showcase the topics needed in statistics. I think it can guide us through the essential topics in each part of statistics and also provide downloadable materials (text files).
3. Data Camp:
Link: https://www.datacamp.com/tracks/r-programming
Cost: Free (only introduction part)
Preview: It does not have video tutorials for programming; instead, you learn by reading instructions. You have to code correctly to progress to the next topic. I think this platform is really good because it divides each part into easy, intermediate, and hard sections, respectively."
4. RStudio Education
Link: https://education.rstudio.com/learn/beginner/
Cost: Free
Preview: This platform offers both video tutorials for some topics and, primarily, lots of textbooks available at https://www.rstudio.com/resources/books/. Additionally, you can learn how to use RStudio in Posit Cloud; I learned to code in R on the cloud as well. It's really convenient, and you can access the cloud wherever you go.
5. Online Courses: Coursera, Udemy, FutureLearn, CS50, edX, YouTube
Cost: Free (for non-credit)
Review: I took an R course from Coursera provided by Duke University and Google. It is free for non-credit participants and includes video tutorials, readings, and project labs. If you're interested in studying these courses, feel free to share and discuss them with me.
Note: In Coursera, if you want a certificate for these courses but are unable to purchase it, you can apply for financial aid before starting the class.
6. Online web page:
6.1 Common R commands used in Data Analysis and Statistical Inference: https://d396qusza40orc.cloudfront.net/statistics/lab_resources/RCommands.html
6.2 R manual
https://cran.r-project.org/manuals.html
6.3 Coding Club
https://ourcodingclub.github.io/tutorials.html
6.4 R for Beginnerhttps://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
6.5 Data analysis and R programming
https://lgatto.github.io/2017_11_09_Rcourse_Jena/index.html

BioSheet_ep 0: Cell Biology
Today, I'd like to share my summary of the Cell Biology topic with you. Note that most of the content is written in Thai. It doesn't cover everything I've learned, but it provides an overview. The content includes general topics, cell components, and cell signaling. You can download the document without a watermark using the link below.
Click here: https://drive.google.com/file/d/1maxwvFBIPWOvfgT9eu9vYdrDrsMwe-4g/view?usp=sharing
Note: I don't know how much I'll refer back to this summary sheet in the future, but I hope it might be useful to others.

Bioinfo_ep0: UniProt 101

Document in following links:
- UniProt notebook: https://drive.google.com/file/d/1CZog2Xhl3fG4OTfhe-6vHcquVUbEDGz6/view?usp=sharing
- Colab notebook: https://colab.research.google.com/drive/1MB1dZWrjzziG_wPW-xBC-2Znnqto7IRx?usp=sharing

Note: I commonly use Python environments in Visual Studio Code, and this is my first time using Google Colab. So, my Colab file might be messy, sorry.