📄Network as a language for precision medicine

📘Journal: Annali dell'Istituto superiore di sanita (I.F=2.21)

🗓Publish year: 2021

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #precision #medicine

📃Cancer Diagnosis Using Deep Learning: A Bibliographic Review

📘Journal: Cancers (I.F=6.575)

🗓Publish year: 2019

📎 Study paper

📲Channel: @Bioinformatics
#review #cancer #deep_learning

📄Ten simple rules for designing and running a computing minor for bio/chem students

📘Journal: PLOS Computational Biology (I.F=4.779)

🗓Publish year: 2022

📎 Study paper

📲Channel: @Bioinformatics
#programming #biology #biochemistry

📕 Python for Bioinformatics
💥Online available book

📘Publisher: CRC Press

📎 Study or download the book

📲Channel: @Bioinformatics
#book #python #bioinformatics

📑What Can Mathematics Do for Drug Development?

📘Journal: Bulletin of Mathematical Biology (I.F=3.871)

🗓Publish year: 2019

📎 Study paper

📲Channel: @Bioinformatics

#mathematics #drug

🧑‍🏭 7 Popular Bioinformatics Careers with approximate salary

📎 Study the article

📲Channel: @Bioinformatics
#career

📄Using graph theory to analyze biological networks

📘Journal: BioData Mining (I.F=4.079)

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #biology

📘 Bioinformatics Data Skills
💥Online available book

📚Publisher: O’Reilly

📎 Study or download the book

📲Channel: @Bioinformatics
#book #bioinformatics #tools

📃Frequent Subgraph Mining applications in Bioinformatics

📘Journal: BioData Mining (I.F=4.146)

🗓Publish year: 2018

📎 Study paper

📲Channel: @Bioinformatics

#subgraph_mining

👨‍🏫 Registration is open to one month International Bioinformatics Workshop by DE<code>LIFE
💥 Plant genomics - 3rd Edition, 2022 💥

🗓 Duration: 27 August- 19 September, 2022

✍️ Registration Link:
https://decodelife.co.in

💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Key Features:
▫️ 20 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.

❔Frequently asked questions:
https://decodelife.co.in/faq/

📲Channel: @Bioinformatics

📑A review of methods and databases for metagenomic classification and assembly

📘 Journal:Briefings in Bioinformatics (I.F=13.994)

🗓Publish year: 2019

📎 Study paper

📲Channel: @Bioinformatics

#review #metagenomic

🏢 The 1st International Workshop on Data Analysis in Life Science
💥Online Workshop

🗓 Date: September 19-23, 2022

💣 Paper submission deadline: 31 August 2022

🖇Website: http://www.bioinformatics.deib.polimi.it/DALS2022/

📲Channel: @Bioinformatics

#workshop #online

📄Modularity in Biological Networks

📘Journal: Frontiers in Genetics (I.F= 4.772 )

🗓Publish year: 2021

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#review #modularity

📑Advanced machine-learning techniques in drug discovery

📘 Journal: Drug Discovery Today (I.F=8.369)

🗓Publish year: 2021

📎 Study paper

📲Channel: @Bioinformatics

#review #drug #machine_learning

🎞 Introduction to Weighted Gene Co-expression Network Analysis (WGCNA)

📽 Part 1 (Introduction)
📽 Part 2 (Detailed workflow)

📲Channel: @Bioinformatics
#video #WGCNA

📃Blockchain for Genomics: A Systematic Literature Review

🗓Publish year: 2021

📎 Study the paper

📲Channel: @Bioinformatics

#review #blockchain #genomics

🎬A Day in the Life of a Bioinformatician

🌐 Watch the interview

📲Channel: @Bioinformatics
#video

🎓PhD position of Computational Biology
at UNSW Sydney

💣Deadline: September 25, 2022

📲Channel: @Bioinformatics
#phd #position

📑 Online Tools for Teaching Cancer Bioinformatics

📘 Journal: Journal of Microbiology & Biology Education

🗓Publish year: 2021

📎 Study paper

📲Channel: @Bioinformatics

#teaching #cancer

📽6 hours Bioinformatics lectures

🎞 Part 1 (Genomics)
🎞 Part 2 (Trannoscriptomics)
🎞 Part 3 (Epigenetics)

📲Channel: @Bioinformatics
#video #Genomics #Trannoscriptomics #Epigenetics

📃 Deep learning for drug repurposing: Methods, databases, and applications

📘Journal: WIREs Computational Molecular Science (I.F.=11.5)
🗓Publish year: 2022

📎 Study the paper

📲Channel: @Bioinformatics

#drug #reproposing #deep_learning