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Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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📑Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments

📔Journal: Chemical Reviews (🔥I.F.=51.4)
🗓Publish year: 2024

🧑‍💻Authors:Greta Grassmann, Mattia Miotto, Fausta Desantis, ...
🏢University: Sapienza University of Rome - Istituto Italiano di Tecnologia, Italy

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📲Channel: @Bioinformatics
#review #ppi #protein #prediction
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📑 Common Methods for Phylogenetic Tree Construction and Their Implementation in R

📕Journal: Bioengineering (I.F.=3.8)
🗓Publish year: 2024

🧑‍💻Authors: Yue Zou,Zixuan Zhang,Yujie Zeng, ...
🏢University: Chongqing Normal University - Chongqing Academy of Animal Science, China

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📲Channel: @Bioinformatics
#review #phylogenetic #r
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📃Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

📓Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2023

🧑‍💻Authors: Kengo Sato, Michiaki Hamada
🏢University: Tokyo Denki University - Waseda University, Japan

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📲Channel: @Bioinformatics
#review #rna #ml #deep_learning
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📑 Advances in machine-learning approaches to RNA-targeted drug design

📘Journal: Artificial Intelligence Chemistry
🗓 Publish year: 2024

🧑‍💻Authors: Yuanzhe Zhou, Shi-Jie Chen
🏢Universities: University of Missouri, USA

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📲Channel: @Bioinformatics
#review #rna #drug
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📄 Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

📗 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2021

🧑‍💻Authors: Ashwin Dhakal, Cole McKay, John J Tanner, Jianlin Cheng
🏢Universities: University of Missouri, USA

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📲Channel: @Bioinformatics
#review #protein #ligand
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📃Deep learning models for disease-associated circRNA prediction: a review

📔 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2022

🧑‍💻Authors: Yaojia Chen, Jiacheng Wang, Chuyu Wang, ...
🏢Universities: University of Electronic Science and Technology of China - Harbin Institute of Technology - Guangdong Ocean University, China

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📲Channel: @Bioinformatics
#review #deep_learning #circRNA
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📃Recent advances in network-based methods for disease gene prediction

🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)

🧑‍💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore
,

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📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
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📄 Data resources and computational methods for lncRNA-disease association prediction

📔 Journal: Computers in Biology and Medicine (I.F.=7)
🗓 Publish year: 2023

🧑‍💻Authors:
Nan Sheng, Lan Huang, Yuting Lu, ...

🏢Universities:
Jilin University- Harbin Medical University , China
Aberystwyth University, United Kingdom


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📲Channel: @Bioinformatics
#review #lncrna #disease #prediction
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👨‍🏫 Registration is open for One month International Bioinformatics Workshop by Decode Life.

💥 NGS : Sequence to Insights 💥

🗓 Duration: 17 August - 8 September, 2024

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

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

Features :
▫️ 23 sessions with approximately 35 hrs of learning.
▫️E- Certificate of Participation.


ℹ️ video recording will be shared with participants immediately after each session along with relevant material.

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

📲Channel: @Bioinformatics
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📃 Computational and bioinformatics tools for understanding disease mechanisms

📗 Journal: BioCell (I.F.=0.8)
🗓 Publish year: 2024

🧑‍💻Authors: MOHD ATHAR, ANU MANHAS, NISARG RANA, ...

🏢Universities:
Cittadella Universitaria, Italy
Deendayal Energy University , Gandhinagar, India
King Khalid University, Saudi Arabia

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📲Channel: @Bioinformatics
#review #disease #tool
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📑 Statistical and machine learning methods for cancer research and clinical practice: A systematic review

📗 Journal: Biomedical Signal Processing and Control (I.F.=4.9)
🗓 Publish year: 2024

🧑‍💻Authors: Laura Lopez-Perez, Eleni Georga, Carlo Conti, ...

🏢Universities:
Universidad Politécnica de Madrid, Spain
University of Ioannina, Greece
University of Milan, Italy
Universitá Campus Biomedico di Roma, Italy

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📲Channel: @Bioinformatics
#review #cancer #machine_learning
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📃The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI

📕 Journal: New Biotechnology (I.F.=4.5)
🗓 Publish year: 2023

🧑‍💻Authors: Mariangela Santorsola, Francesco Lescai
🏢Universities: University of Pavia, Italy

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📲Channel: @Bioinformatics
#review #explainability #deep_learning #omics
👍4👏1
📑Deep learning methods in metagenomics: a review

📓Journal: Microbial Genomics (I.F.=4)
🗓Publish year: 2024

🧑‍💻Authors: Gaspar Roy, Edi Prifti, Eugeni Belda, ...
🏢University: Sorbonne University, France

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📲Channel: @Bioinformatics
#review #deep_learning #metagenomics
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