Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“‘Disease diagnosis and control by reinforcement learning techniques: a systematic literature review

πŸ“•Journal: Discover Computing
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Aditya Dev Mishra, Ajay Kumar Shrivastava & Megha Bhushan
🏒Universities: Galgotias College of Engineering and Technology & KIET Group of Institutions, India - University of Seville, Spain

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πŸ“²Channel: @Bioinformatics
#review #diease #reinforcement_learning
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🎬 Bioinformatics in the age of AI

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πŸ“²Channel: @Bioinformatics
#video #ai
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πŸ“ƒ Comprehensive review of Bayesian network applications in gastrointestinal cancers

πŸ“”Journal: World Journal of Clinical Oncology (I.F.=3.2)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Min-Na Zhang, Meng-Ju Xue, Bao-Zhen Zhou, ...
🏒Universities: Xi'an International University & Yan’an University, China

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#review #bayesian #gastrointestinal #cancers
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πŸ“‘ Epigenetic regulators in cancer therapy and progression

πŸ“— Journal: npj Precision Oncology (I.F.=8)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Author: Hany E. Marei
🏒Universities: Mansoura University, Egypt

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πŸ“²Channel: @Bioinformatics
#review #epigenetic #cancer
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πŸ“ƒMethods for reconstructing gene regulatory networks from single-cell transcriptomic data

πŸ“” Journal: Вавиловский ΠΆΡƒΡ€Π½Π°Π» Π³Π΅Π½Π΅Ρ‚ΠΈΠΊΠΈ ΠΈ сСлСкц (Systems Computational Biology) - [I.F.=0.8]
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏒University: Novosibirsk State University, Russia

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πŸ“²Channel: @Bioinformatics
#review #gene #grn #single_cell
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πŸ“„ A Survey of Large Language Model for Drug Research and Development

πŸ““ Journal: IEEE Access (I.F.=0.8)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Huijie Guo; Xudong Xing; Yongjie Zhou; ...
🏒Universities: China Pharmaceutical University & Chinese Academy of Sciences, China

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#review #drug #llm
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πŸ“‘ Scientific Large Language Models: A Survey on Biological & Chemical Domains

πŸ“˜ Journal: ACM Computing Surveys (πŸ”₯I.F.=28)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Qiang Zhang, Keyan Ding, Tianwen Lv, ...
🏒Universities: Zhejiang University, China

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πŸ“¦ Supplementary Materials

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#review #llm #protein #molecular #genomic
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πŸ“ƒ Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey

πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Payam Zohari & Mostafa Haghir Chehreghani
🏒University: Amirkabir University of Technology (Tehran Polytechnic), Iran

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#review #cancer #multi_omics #gnn
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πŸ“£ Pre-Registration Now Open for the International ORCA Workshop
βœ… Interested? Please fill out this short pre-registration form:
πŸ‘‰ https://forms.gle/UQZgNvr26AGBSnja6
____________________________________
Are you interested in learning how to perform quantum mechanical calculations using the powerful and free ORCA software package?
We are excited to announce a potential international workshop on ORCA, a widely used program for quantum chemistry calculations. Whether you're a beginner or have basic knowledge of computational chemistry, this workshop is designed to introduce you to ORCA and help you get started with geometry optimization, frequency analysis, transition state searches, and more.
πŸ‘¨β€πŸ« Instructor: Dr. Mehdi Irani β€” a recognized expert in computational chemistry
πŸ”— https://prof.uok.ac.ir/m.irani/index.htm
____________________________________
πŸ§ͺ What is ORCA?
ORCA is a versatile and efficient quantum chemistry software developed by the Neese group. It supports a wide range of methods, including:
β€’ Hartree–Fock
β€’ DFT
β€’ Post-Hartree–Fock methods
(e.g., MP2, CCSD)
β€’ Multiscale QM/MM techniques
It is freely available for academic use and runs on Linux, macOS, and Windows platforms.
________________________________
πŸ“š Topics to Be Covered
β€’ Introduction to quantum mechanical methods in chemistry
β€’ Installing and running ORCA on your system
β€’ Preparing input files for basic and advanced calculations
β€’ Geometry optimizations and single-point energy calculations
β€’ Frequency calculations and reaction transition states
β€’ Analyzing output files
β€’ (Possibly) An introduction to QM/MM and QM1/QM2 multiscale methods using ORCA
________________________________
🎯 Who Should Attend?
This workshop is suitable for:
β€’ Students, researchers, and faculty with elementary knowledge of quantum chemistry or molecular modeling
β€’ Beginners looking to start using ORCA for their computational research
β€’ Participants from any country or region interested in theoretical chemistry
________________________________
πŸ“… Tentative Date
The workshop is planned for late August or early September 2025.
The exact date and structure will be finalized based on the number of interested participants.
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πŸ‘©β€πŸ« Single-Molecule & Spatial Sequencing: Methods & Applications (Spring 2025)
πŸ’₯Online recorded course from Cornell University

πŸ‘©β€πŸ’» Course link
🎞 Recorded videos

πŸ“²Channel: @Bioinformatics
#video #course #sequencing #rna
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πŸ“Ή Visualization and interpretation of high-throughput genomics data
πŸ’₯ From University of Virginia

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πŸ“²Channel: @Bioinformatics
#video #viualization #genomics
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