📽6 hours Bioinformatics lectures

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

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

📑 Large language models in bioinformatics: applications and perspectives

📕 arXiv preprint
🗓 Publish year: 2024

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📲Channel: @Bioinformatics
#review #genomics #transcriptomics #proteomics #drug_discovery #single_cell_analysis

📄Deep learning applications in single-cell genomics and transcriptomics data analysis

📘Journal: Biomedicine & Pharmacotherapy (I.F.=6.9)
🗓Publish year: 2023

🧑‍💻Authors: Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz,...
🏢University: Birjand University of Medical Sciences, Iran - University of California, Merced, USA - University of Calgary, Calgary, Canada, ...

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📲Channel: @Bioinformatics
#review #deep_learning #single_cell #genomics #transcriptomics

📃From time-series transcriptomics to gene regulatory networks: A review on inference methods

🗓 Publish year: 2023
📘Journal: PLOS Computational Biology

🧑‍💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France

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📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review

📃 A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

📘Journal: Computational and Structural Biotechnology Journal (I.F.=4.4)
🗓Publish year: 2024

🧑‍💻Authors: Teng Liu, Zhao-Yu Fang, Zongbo Zhang,...
🏢Universities: Chongqing University -Central South University, China

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📲Channel: @Bioinformatics
#review #transcriptomics #clustering #GNN

📃 Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses

📘 Journal: Quantitative Biology (I.F.=0.6)
🗓Publish year: 2025

🧑‍💻Authors: Jorge A. Tzec-Interián, Daianna González-Padilla, Elsa B. Góngora-Castillo
🏢Universities: Yucatan Scientific Research Center, Mexico

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📲Channel: @Bioinformatics
#review #transcriptomics #rna #single_cell

📑Machine learning and related approaches in transcriptomics

📙 Journal: Biochemical and Biophysical Research Communications (I.F.=2.5)
🗓 Publish year: 2024

🧑‍💻Authors: Yuning Cheng, Si-Mei Xu, Kristina Santucci, ...
🏢Universities: University of New South Wales, Australia

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📲Channel: @Bioinformatics
#review #machine_learning #transcriptomics

📄A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations

🗓 Publish year: 2024

🧑‍💻Authors: Mahnoor N. Gondal, Saad Ur Rehman Shah, Arul M. Chinnaiyan, ...
🏢Universities: University of Michigan - University of Illinois Business College, USA

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📲Channel: @Bioinformatics
#review #single_cell #transcriptomics

📃 Bioinformatics Applications in Chronic Diseases: A Comprehensive Review of Genomic, Transcriptomics, Proteomic, Metabolomics, and Machine Learning Approaches

📘 Journal: Medinformatics
🗓Publish year: 2024

🧑‍💻Authors: Taiwo Temitope Ogunjobi, Precious Nkeiruka Ohaeri, Olamide Tayo Akintola, ...
🏢Universities: Ladoke Akintola University of Technology & Obafemi Awolowo University & Lagos State University, Nigeria

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📲Channel: @Bioinformatics
#review #Chronic #genomic #transcriptomics #proteomic #metabolomics #machine_learning