πLong non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches
π Journal: Seminars in Cancer Biology (I.F.=14.5)
πPublish year: 2022
π§βπ»Authors: Hibah Shaath, Radhakrishnan Vishnubalaji, Ramesh Elango, ...
π’University: Hamad Bin Khalifa University (HBKU), Qatar
π Study the paper
π²Channel: @Bioinformatics
#review #rna #binding #cancer
π Journal: Seminars in Cancer Biology (I.F.=14.5)
πPublish year: 2022
π§βπ»Authors: Hibah Shaath, Radhakrishnan Vishnubalaji, Ramesh Elango, ...
π’University: Hamad Bin Khalifa University (HBKU), Qatar
π Study the paper
π²Channel: @Bioinformatics
#review #rna #binding #cancer
β€3π2
πRNA Binding Protein Target Site Identification Using Machine Learning
πPhD Thesis from Masaryk University, Czechia
πPublish year: 2023
π Study thesis
π²Channel: @Bioinformatics
#thesis #ml #protein #binding_site
πPhD Thesis from Masaryk University, Czechia
πPublish year: 2023
π Study thesis
π²Channel: @Bioinformatics
#thesis #ml #protein #binding_site
β€5π3π2
π Discover Choppr: The Future of Bioinformatics Research π
π¬ 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 predictionβno coding required!
𧬠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!
π₯ See Choppr in Action: Witness innovation firsthand! Watch this short video demonstrating Chopprβs capabilities (https://www.youtube.com/watch?v=Tb8X9VkWccg&t=7s).
π Trusted Worldwide: Developed by top researchers and utilized globally by institutions like Cleveland Clinic, Cambridge, Oxford, Harvard, Stanford, and Princeton.
π Join Us: Visit Quandle Labs (https://www.quandlelabs.com/) to explore more and sign up FREE for academic users. Embrace the future of research with Chopprβwhere technology meets discovery!
π Replicate Research Effortlessly: With Choppr, replicate findings from research papers in minutes. Combine and connect diverse tools to tackle complex biological questions with unprecedented ease.
π’ Why Wait? Dive into the world of advanced bioinformatics with Choppr. Itβs not just a tool; itβs your next big discovery waiting to happen!
π²Channel: @Bioinformatics
π¬ 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 predictionβno coding required!
𧬠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!
π₯ See Choppr in Action: Witness innovation firsthand! Watch this short video demonstrating Chopprβs capabilities (https://www.youtube.com/watch?v=Tb8X9VkWccg&t=7s).
π Trusted Worldwide: Developed by top researchers and utilized globally by institutions like Cleveland Clinic, Cambridge, Oxford, Harvard, Stanford, and Princeton.
π Join Us: Visit Quandle Labs (https://www.quandlelabs.com/) to explore more and sign up FREE for academic users. Embrace the future of research with Chopprβwhere technology meets discovery!
π Replicate Research Effortlessly: With Choppr, replicate findings from research papers in minutes. Combine and connect diverse tools to tackle complex biological questions with unprecedented ease.
π’ Why Wait? Dive into the world of advanced bioinformatics with Choppr. Itβs not just a tool; itβs your next big discovery waiting to happen!
π²Channel: @Bioinformatics
YouTube
Blazing Fast Protein Structure Search using FoldSeek
Foldseek, a groundbreaking method for rapid and accurate searches within vast protein structure databases, addresses a critical need in structural biology. Unlike traditional methods, Foldseek prioritizes structural similarity over sequence similarity, leveragingβ¦
π7β€5
π Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics
π Journal: Molecular Biotechnology (I.F.=2.6)
πPublish year: 2023
π§βπ»Authors: Soumen Pal, Manojit Bhattacharya, Sang-Soo Lee & Chiranjib Chakraborty
π’University: Vellore Institute of Technology, Fakir Mohan University & Adamas University, India - Hallym University, Republic of Korea
π Study the paper
π²Channel: @Bioinformatics
#review #Quantum #Molecular
π Journal: Molecular Biotechnology (I.F.=2.6)
πPublish year: 2023
π§βπ»Authors: Soumen Pal, Manojit Bhattacharya, Sang-Soo Lee & Chiranjib Chakraborty
π’University: Vellore Institute of Technology, Fakir Mohan University & Adamas University, India - Hallym University, Republic of Korea
π Study the paper
π²Channel: @Bioinformatics
#review #Quantum #Molecular
β€3π1
π Machine learning for microbiologists
πJournal: Nature Reviews Microbiology (π₯I.F.=88.1)
πPublish year: 2023
π§βπ»Authors: Francesco Asnicar, Andrew Maltez Thomas, Andrea Passerini, ...
π’University: University of Trento, Italy
π Study the paper
π²Channel: @Bioinformatics
#review #microbiology #ml
πJournal: Nature Reviews Microbiology (π₯I.F.=88.1)
πPublish year: 2023
π§βπ»Authors: Francesco Asnicar, Andrew Maltez Thomas, Andrea Passerini, ...
π’University: University of Trento, Italy
π Study the paper
π²Channel: @Bioinformatics
#review #microbiology #ml
π6β€3π₯3π1
π½ A Panel about Bridging Academia and Industry in Computational Biology
π Watch
π²Channel: @Bioinformatics
#video #industry
π Watch
π²Channel: @Bioinformatics
#video #industry
π2
Forwarded from Network Analysis Resources & Updates
πGraph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
π Publish year: 2023
πJournal: CANCERS (I.F=5.2)
π§βπ»Authors: Grigoriy Gogoshin and Andrei S. Rodin
π’Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
π Publish year: 2023
πJournal: CANCERS (I.F=5.2)
π§βπ»Authors: Grigoriy Gogoshin and Andrei S. Rodin
π’Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
π5
π¨βπ« Last 2 days left for registration to Joint One month International Bioinformatics Workshop by Decode Life & Ensembl Team - EBI UK
π₯ Plant Genomics βοΈ π₯
π Duration: 8 June - 7 July, 2024
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
Features :
β«οΈ 25 sessions with approximately 35 hrs of learning.
β«οΈE- Certificate of Participation.
βΉοΈ video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions
https://decodelife.co.in/faq/
π Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life
π»Please subscribe-
πΉFacebook β www.facebook.com/decodelifebio
πΉTwitter- twitter.com/LifeDecode
πΉInstagram- www.instagram.com/decode_life_bioinfo
πΉLinked in- www.linkedin.com/company/decode-life
πΉ Instagram Broadcast -https://ig.me/j/AbYu0o8QVHOM15mL
π²Channel: @Bioinformatics
π₯ Plant Genomics βοΈ π₯
π Duration: 8 June - 7 July, 2024
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
Features :
β«οΈ 25 sessions with approximately 35 hrs of learning.
β«οΈE- Certificate of Participation.
βΉοΈ video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions
https://decodelife.co.in/faq/
π Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life
π»Please subscribe-
πΉFacebook β www.facebook.com/decodelifebio
πΉTwitter- twitter.com/LifeDecode
πΉInstagram- www.instagram.com/decode_life_bioinfo
πΉLinked in- www.linkedin.com/company/decode-life
πΉ Instagram Broadcast -https://ig.me/j/AbYu0o8QVHOM15mL
π²Channel: @Bioinformatics
π2
π Interpretable deep learning in single-cell omics
πPublish year: 2024
π§βπ»Authors: Manoj M Wagle, Siqu Long, Carissa Chen, ...
π’University: The University of Sydney, Australia
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #single_cell
πPublish year: 2024
π§βπ»Authors: Manoj M Wagle, Siqu Long, Carissa Chen, ...
π’University: The University of Sydney, Australia
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #single_cell
β€2π1π1
Forwarded from Network Analysis Resources & Updates
πNetwork Learning for Biomarker Discovery
π Publish year: 2023
πJournal: International Journal of Network Dynamics and Intelligence (IJNDI)
π§βπ»Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
π’Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
π Publish year: 2023
πJournal: International Journal of Network Dynamics and Intelligence (IJNDI)
π§βπ»Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
π’Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
β€2π2π₯1π1
π 8 Bioinformatics Projects for Students: Ultimate Step by Step Guide
π Study
π²Channel: @Bioinformatics
#technical #project
π Study
π²Channel: @Bioinformatics
#technical #project
Data Science For Bio
8 Bioinformatics Projects for Students in 2025: Innovative Ideas and Step-by-Step Guides - Data Science For Bio
Here are 8 detailed bioinformatics projects for students, complete with step-by-step instructions and resources.
π17β€7π2π1
π A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq
πJournal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πPublish year: 2022
π§βπ»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
π’University: Soochow University - Xiamen University, China
π Study the paper
π²Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
πJournal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πPublish year: 2022
π§βπ»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
π’University: Soochow University - Xiamen University, China
π Study the paper
π²Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
π5β€4π1
π¦ 3 Days recorded workshop on from UCLA
π₯ RNA-seq I Analysis
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
π²Channel: @Bioinformatics
#video #rna_seq
π₯ RNA-seq I Analysis
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
π²Channel: @Bioinformatics
#video #rna_seq
YouTube
W5a: RNA-seq I Analysis - Day 1
RNA-seq I aims to provide an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). The workshop can serve also as a starting point to develop a gene expression project. This workshop is divided in three days that willβ¦
β€15π8π3π―1