π Protein Protein Interaction Network Analysis in Practice
π₯Free recorded webinar from EBI
π½ Watch
π²Channel: @Bioinformatics
π₯Free recorded webinar from EBI
π½ Watch
π²Channel: @Bioinformatics
YouTube
Approaches for using protein protein interaction networks for biological discovery
It is hard to think of a biological process in which protein-protein interactions (PPIs) do not play an essential role. Thus, in collective efforts over the last two decades comprehensive sets of human PPIs have been curated from the scientific literatureβ¦
π9β€4π₯2
πBioinformatics software for genomic: a systematic review on GitHub
πJournal: PeerJ-Preprint
π Study the paper
π²Channel: @Bioinformatics
πJournal: PeerJ-Preprint
π Study the paper
π²Channel: @Bioinformatics
π9π₯1
π¨π»βπ» Bioinformatics Research Symposium
π₯The School of Biomedical Sciences, Makerere University is delighted to announce the BRecA Bioinformatics Research Symposium. BRecA - Nurturing Bioinformatics and Genomics Research Capacity in Africa, is an NIH funded training program that spearheaded the masterβs and PhD programs in bioinformatics at Makerere University. BRecA is part of the wider H3Africa network concerned with human health and heredity on the African continent.
πLocation: Blended (Virtual & Physical Presence)
π Date: May 19, 2022
βοΈ Time: 9:00 am - 5:00 pm (East Africa Time)
βΉοΈ More information
βπ» Free Registration
π²Channel: @Bioinformatics
π₯The School of Biomedical Sciences, Makerere University is delighted to announce the BRecA Bioinformatics Research Symposium. BRecA - Nurturing Bioinformatics and Genomics Research Capacity in Africa, is an NIH funded training program that spearheaded the masterβs and PhD programs in bioinformatics at Makerere University. BRecA is part of the wider H3Africa network concerned with human health and heredity on the African continent.
πLocation: Blended (Virtual & Physical Presence)
π Date: May 19, 2022
βοΈ Time: 9:00 am - 5:00 pm (East Africa Time)
βΉοΈ More information
βπ» Free Registration
π²Channel: @Bioinformatics
π13
π₯ Free Webinar series
π¨π»βπ»Single Cell Sequencing for Every Lab
β«οΈPart 1: Current Single Cell Sequencing Technologies
π Date: Monday, 09.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Murat Seker
πContent:
- Single cell sequencing workflow
- Comparison of current technologies for single cell sequencing
- Advantages of portable devices for single cell sequencing
β«οΈPart 2: Applications of Single Cell Sequencing Beyond RNA Profiling
π Date: Monday, 16.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Wei Long
πContent:
- Targeted single cell sequencing techniques
- Adding a time dimension to your single cell sequencing research
- Importance of single cell sequencing in yeast research
β«οΈPart 3: SynEcoSys β Mining Single Cell Data for Clinical Translation
π Date: Monday, 23.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Tristan Winters
πContent:
- Main features and how to navigate the database
- Type of data you can obtain from the database
- Applications of single cell data mining
π²Channel: @Bioinformatics
π¨π»βπ»Single Cell Sequencing for Every Lab
β«οΈPart 1: Current Single Cell Sequencing Technologies
π Date: Monday, 09.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Murat Seker
πContent:
- Single cell sequencing workflow
- Comparison of current technologies for single cell sequencing
- Advantages of portable devices for single cell sequencing
β«οΈPart 2: Applications of Single Cell Sequencing Beyond RNA Profiling
π Date: Monday, 16.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Wei Long
πContent:
- Targeted single cell sequencing techniques
- Adding a time dimension to your single cell sequencing research
- Importance of single cell sequencing in yeast research
β«οΈPart 3: SynEcoSys β Mining Single Cell Data for Clinical Translation
π Date: Monday, 23.05.2022
βοΈ Time: 2 pm (CET)
π¨βπ« Speaker: Dr. Tristan Winters
πContent:
- Main features and how to navigate the database
- Type of data you can obtain from the database
- Applications of single cell data mining
π²Channel: @Bioinformatics
π12
πChallenges in large-scale bioinformatics projects
πJournal: Nature Humanities and Social Sciences Communications
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
πJournal: Nature Humanities and Social Sciences Communications
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
π8
π How to Start Learning Bioinformatics and Not Get Intimidated (With R)
π Study
π²Channel: @Bioinformatics
π Study
π²Channel: @Bioinformatics
Towards Data Science
How to Start Learning Bioinformatics and Not Get Intimidated(With R) | Towards Data Science
Introduction This article is aimed towards people who are looking to "break into" the bioinformatics realm and have experience with R (ideally using the tidyverse). Bioinformatics can be a scary-sounding concept (as least it is for me) because it is suchβ¦
π19π₯2π1
π Drug discovery with explainable artificial intelligence
πJournal: Nature Machine Intelligence (I.F.=15.508)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
πJournal: Nature Machine Intelligence (I.F.=15.508)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
π8
πPredictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications
π Study the chapter
π²Channel: @Bioinformatics
π Study the chapter
π²Channel: @Bioinformatics
π2
πLong walk to genomics: History and current approaches to genome sequencing and assembly
πJournal: Computational and Structural Biotechnology Journal (I.F.=7.271)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
πJournal: Computational and Structural Biotechnology Journal (I.F.=7.271)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
π6
πBioinformatics for precision oncology
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
π7
π Machine learning for bioinformatics and neuroimaging
πJournal: Data Mining and Knowledge Discovery (I.F.=7.250)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
πJournal: Data Mining and Knowledge Discovery (I.F.=7.250)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
π5
π Bioinformatics Approaches for Anti-cancer Drug Discovery
πJournal: Current Drug Targets (I.F.=3.465)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
πJournal: Current Drug Targets (I.F.=3.465)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
π9
π¨βπ« Registration is open to one month Bioinformatics Workshop by DE<code>LIFE
π₯ Drug discovery & Developmentπ₯
π Duration: 21 May- 15 June, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features :
β«οΈ18 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
βFrequently asked questions:
https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π₯ Drug discovery & Developmentπ₯
π Duration: 21 May- 15 June, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features :
β«οΈ18 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
βFrequently asked questions:
https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π7π₯2π1
π The R Language: An Engine for Bioinformatics and Data Science
π₯ From Abstract: The R programming language is approaching its 30th birthday, and recently it has achieved a prominent role in statistics, bioinformatics, and data science in general. It currently ranks among the top 10 most popular languages worldwide, and its community has produced tens of thousands of extensions and packages, with scopes ranging from machine learning to transcriptome data analysis. In this review, we provide an historical chronicle of how R became what it is today, describing all its current features and capabilities. We also illustrate the major tools of R, .... We also discuss the role of R in science in general as a driver for reproducibility. Overall, we hope to provide both a complete snapshot of R today and a practical compendium of the major features and applications of this programming language.
πJournal: Life (I.F.=3.817)
πPublish year: April 2022
π Study the paper
π²Channel: @Bioinformatics
π₯ From Abstract: The R programming language is approaching its 30th birthday, and recently it has achieved a prominent role in statistics, bioinformatics, and data science in general. It currently ranks among the top 10 most popular languages worldwide, and its community has produced tens of thousands of extensions and packages, with scopes ranging from machine learning to transcriptome data analysis. In this review, we provide an historical chronicle of how R became what it is today, describing all its current features and capabilities. We also illustrate the major tools of R, .... We also discuss the role of R in science in general as a driver for reproducibility. Overall, we hope to provide both a complete snapshot of R today and a practical compendium of the major features and applications of this programming language.
πJournal: Life (I.F.=3.817)
πPublish year: April 2022
π Study the paper
π²Channel: @Bioinformatics
π5
π₯ Protein Structures: Determination, Prediction, Modelling, Docking, Simulation & Visualizationπ₯
Interested in learning how to model protein and perform their docking and MD Simulation studies? Here, we offer an online workshop on this topic with expert speakers and live demo sessions. Check out www.dollareducation.org
ππ»ENROLL FAST- ONLY 3 DAYS LEFT !!
π Date: 16-25 May, 2022
β° Time: 6:00 pm IST
βοΈ Registration Link
https://www.dollareducation.org
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Topics:
β«οΈX-ray diffraction analysis
β«οΈTemplate-based Structure prediction
β«οΈHomology Modelling
β«οΈDocking studies
β«οΈMD simulation
β«οΈPost-simulation data analysis
β«οΈProtein purification and SAXS analysis
βΉοΈContact and More information:
https://t.iss.one/+qCL0SBRZSLZmMDE1
π²Channel: @Bioinformatics
Interested in learning how to model protein and perform their docking and MD Simulation studies? Here, we offer an online workshop on this topic with expert speakers and live demo sessions. Check out www.dollareducation.org
ππ»ENROLL FAST- ONLY 3 DAYS LEFT !!
π Date: 16-25 May, 2022
β° Time: 6:00 pm IST
βοΈ Registration Link
https://www.dollareducation.org
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Topics:
β«οΈX-ray diffraction analysis
β«οΈTemplate-based Structure prediction
β«οΈHomology Modelling
β«οΈDocking studies
β«οΈMD simulation
β«οΈPost-simulation data analysis
β«οΈProtein purification and SAXS analysis
βΉοΈContact and More information:
https://t.iss.one/+qCL0SBRZSLZmMDE1
π²Channel: @Bioinformatics
π7
Forwarded from Network Analysis Resources & Updates
πNetwork science of biological systems at different scales: A review
πJournal: Physics of Life Reviews(I.F=11.025)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
πJournal: Physics of Life Reviews(I.F=11.025)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #review
π9
πNetwork-based methods for predicting essential genes or proteins: a survey
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
πJournal: Briefings in Bioinformatics (I.F.=11.622)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
π7
πA practical guide to methods controlling false discoveries in computational biology
πJournal: Genome Biology (I.F.=13.583)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
πJournal: Genome Biology (I.F.=13.583)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
π2
π PhD Thesis, University of Saskatchewan
π₯Identifying disease-associated genes based on artificial intelligenceπ₯
π Study full thesis
π²Channel: @Bioinformatics
π₯Identifying disease-associated genes based on artificial intelligenceπ₯
π Study full thesis
π²Channel: @Bioinformatics
π7π1