Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“ƒLong non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches

πŸ“— Journal: Seminars in Cancer Biology (I.F.=14.5)
πŸ—“Publish year: 2022

πŸ§‘β€πŸ’»Authors: Hibah Shaath, Radhakrishnan Vishnubalaji, Ramesh Elango, ...
🏒University: Hamad Bin Khalifa University (HBKU), Qatar

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #rna #binding #cancer
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πŸŽ“RNA Binding Protein Target Site Identification Using Machine Learning

πŸ“•PhD Thesis from Masaryk University, Czechia

πŸ—“Publish year: 2023

πŸ“Ž Study thesis

πŸ“²Channel: @Bioinformatics
#thesis #ml #protein #binding_site
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🌟 Discover Choppr: The Future of Bioinformatics Research 🌟

πŸ”¬ How Choppr Works: Simplify your research with over 50+ bioinformatics tools. Drag, drop, connect, and RUN tools like BLAST for sequence searching, MAFFT for alignment, PhyML for phylogenetic analysis, and AlphaFold for protein structure predictionβ€”no coding required!

🧬 Meet Choppr AI: Revolutionize your research with our AI-powered chatbot. Enter your query and watch as Choppr AI designs a tailored workflow. Whether you're analyzing protein hydrophobicity or searching for structural homologs, achieve what used to take months in mere minutes!

πŸŽ₯ See Choppr in Action: Witness innovation firsthand! Watch this short video demonstrating Choppr’s capabilities (https://www.youtube.com/watch?v=Tb8X9VkWccg&t=7s).

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πŸ“’ Why Wait? Dive into the world of advanced bioinformatics with Choppr. It’s not just a tool; it’s your next big discovery waiting to happen!

πŸ“²Channel: @Bioinformatics
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πŸ“„ Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics

πŸ“” Journal: Molecular Biotechnology (I.F.=2.6)
πŸ—“Publish year: 2023

πŸ§‘β€πŸ’»Authors: Soumen Pal, Manojit Bhattacharya, Sang-Soo Lee & Chiranjib Chakraborty
🏒University: Vellore Institute of Technology, Fakir Mohan University & Adamas University, India - Hallym University, Republic of Korea

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #Quantum #Molecular
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πŸ“„ Machine learning for microbiologists

πŸ““Journal: Nature Reviews Microbiology (πŸ”₯I.F.=88.1)
πŸ—“Publish year: 2023

πŸ§‘β€πŸ’»Authors: Francesco Asnicar, Andrew Maltez Thomas, Andrea Passerini, ...
🏒University: University of Trento, Italy

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #microbiology #ml
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πŸ“½ A Panel about Bridging Academia and Industry in Computational Biology

🎞 Watch

πŸ“²Channel: @Bioinformatics
#video #industry
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πŸ“ƒGraph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends

πŸ—“ Publish year: 2023
πŸ“˜Journal: CANCERS (I.F=5.2)

πŸ§‘β€πŸ’»Authors: Grigoriy Gogoshin and Andrei S. Rodin
🏒Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
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πŸ‘¨β€πŸ« Last 2 days left for registration to Joint One month International Bioinformatics Workshop by Decode Life & Ensembl Team - EBI UK

πŸ’₯ Plant Genomics ☘️ πŸ’₯

πŸ—“ Duration: 8 June - 7 July, 2024

✍️ Registration Link
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πŸ’² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

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

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

πŸ”— Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life

πŸ”»Please subscribe-

πŸ”ΉFacebook – www.facebook.com/decodelifebio
πŸ”ΉTwitter- twitter.com/LifeDecode
πŸ”ΉInstagram- www.instagram.com/decode_life_bioinfo
πŸ”ΉLinked in- www.linkedin.com/company/decode-life
πŸ”Ή Instagram Broadcast -https://ig.me/j/AbYu0o8QVHOM15mL

πŸ“²Channel: @Bioinformatics
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πŸ“‘ Interpretable deep learning in single-cell omics

πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Manoj M Wagle, Siqu Long, Carissa Chen, ...
🏒University: The University of Sydney, Australia

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #deep_learning #single_cell
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πŸ“ƒNetwork Learning for Biomarker Discovery

πŸ—“ Publish year: 2023
πŸ“˜Journal: International Journal of Network Dynamics and Intelligence (IJNDI)

πŸ§‘β€πŸ’»Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
🏒Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
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πŸ“„ A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq

πŸ“•Journal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πŸ—“Publish year: 2022

πŸ§‘β€πŸ’»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
🏒University: Soochow University - Xiamen University, China

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
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