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DTSTART;VALUE=DATE:20260628
DTEND;VALUE=DATE:20260704
DTSTAMP:20251211T095018Z
CREATED:20251211T094907Z
LAST-MODIFIED:20251211T095018Z
UID:22355-1782604800-1783123199@globalplantcouncil.org
SUMMARY:Summer School 2026: Plant single cell RNAseq workshop: From current technologies to data analyses
DESCRIPTION:This Summer school is organized by the Saclay Plant Sciences (SPS) network\, one of the largest European plant sciences communities. \nscRNAseq approaches have revolutionized the way biologists approach their research subjects\, by making it possible to dissect molecular mechanisms at the single-cell level. But although technological developments have recently made these approaches more accessible\, their expensive use still requires significant technical training\, including the good conception of experimental designs\, the preparation of samples as well as their bioinformatics analyses. In addition\, different protocols and various bioinformatics and statistical analyzes are available\, and it can be difficult to choose the most relevant ones for the biological question at hand. \nOver five days\, the SPS Summer School 2026 will cover all the stages of a scRNAseq project in plants. Through a combination of lectures and practical work\, the many specific features of plant models will be highlighted by experts from the Saclay Plant Sciences network (CNRS and INRAE)\, the ViB in Ghent and the Pasteur Institute. \nAfter this international school\, participants will:\n–    Have an overview of the different scRNAseq technologies and understand their pros and cons.\n–    Be able to design experiments depending on the biological question.\n–    Be trained on sample preparation techniques for single cell and single nuclei\n–    Understand the different steps of bioinformatics and statistical analysis\n–    Have a better biological interpretation of results\n–    Have facilitated exchanges with technology platforms\, bioinformaticians\, and biostatisticians in order to successfully complete their scRNAseq project \nThe summer school will bring together outstanding and enthusiastic young scientists (PhD students and post-docs) from all over the world in order to exchange knowledge and ideas. It is limited to a small group of participants (20 maximum) to privilege informal interactions and scientific discussions. \nTo register: https://eng-saclay-plant-sciences.hub.inrae.fr/teaching-and-training/summer-schools/summer-school-2026
URL:https://globalplantcouncil.org/event/summer-school-2026-plant-single-cell-rnaseq-workshop-from-current-technologies-to-data-analyses/
LOCATION:INRAE\, Versailles\, Versailles\, France
CATEGORIES:Bioinformatics,Plant Science
ATTACH;FMTTYPE=image/webp:https://globalplantcouncil.org/wp-content/uploads/2025/12/f7c93ca17e0c-summer_school_sps_2026_bandeau.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250629
DTEND;VALUE=DATE:20250705
DTSTAMP:20241218T091425Z
CREATED:20241218T091425Z
LAST-MODIFIED:20241218T091425Z
UID:21623-1751155200-1751673599@globalplantcouncil.org
SUMMARY:SPS Summer School 2025: Advanced Plant Imaging – From super-resolution to fluorescence lifetime imaging microscopy
DESCRIPTION:This Summer school is organized by the Saclay Plant Sciences (SPS) network\, one of the largest European plant sciences communities and will be hosted by the cytology and imaging platform of the Institut Jean Pierre Bourgin – Plant Sciences in Versailles. \nMicroscopy is a fundamental tool for understanding the functioning of plants at the cellular to molecular scale. Recent technological advances (super-resolution\, fluorescence lifetime imaging\, biosensors…) now make it possible to address new scientific questions. This Summer School will provide theoretical and practical insights into these aspects for 20 outstanding and enthusiastic PhD students or young postdoctoral researchers divided in small groups. Participants will have the opportunity to discuss the advantages and disadvantages of different modalities\, sample preparation\, image acquisition\, and data processing throughout the week. \nTo register: https://eng-saclay-plant-sciences.hub.inrae.fr/teaching-and-training/summer-schools/summer-school-2025
URL:https://globalplantcouncil.org/event/sps-summer-school-2025-advanced-plant-imaging-from-super-resolution-to-fluorescence-lifetime-imaging-microscopy/
CATEGORIES:Bioinformatics,Other Skills,Plant Science
ATTACH;FMTTYPE=image/webp:https://globalplantcouncil.org/wp-content/uploads/2024/12/sps-summer.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20250204T180000
DTEND;TZID=Europe/Madrid:20250204T190000
DTSTAMP:20250114T094704Z
CREATED:20250114T094704Z
LAST-MODIFIED:20250114T094704Z
UID:21725-1738692000-1738695600@globalplantcouncil.org
SUMMARY:What's New in Cytometry - Daniel Vocelle
DESCRIPTION:Organized by Plant Research Laboratory\nFebruary 4\, 2025 at 12:00 pm\nPlant Biology Laboratories\, room 168 \nSpeaker: Daniel Vocelle\, Assistant Director of MSU Flow Cytometry Core \nTitle: What’s New in Cytometry \nZoom: Zoom\nMeeting ID: 972 4493 4288\nPasscode: PRL
URL:https://globalplantcouncil.org/event/whats-new-in-cytometry-daniel-vocelle/
LOCATION:Online
CATEGORIES:Artificial Intelligence and Robotics,Bioinformatics,Plant Science
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240528
DTEND;VALUE=DATE:20240606
DTSTAMP:20240321T152023Z
CREATED:20240321T151739Z
LAST-MODIFIED:20240321T152023Z
UID:20487-1716854400-1717631999@globalplantcouncil.org
SUMMARY:Introduction to Network Analysis and Modelling
DESCRIPTION:Networks are pervasive in various fields\, from biology and ecology to sociology\, computer science\, and beyond. This course is designed for researchers and students from diverse disciplines who are interested in understanding and analysing complex systems using network theory. \nThe course will cover the following key topics: \n\nIntroduction to networks\nRandom Graphs and Null Models\nCommunity Structure and Mixing Patterns\nRanking in Networks\nIntroduction to Dynamics on Networks and Dynamics of Networks\n\nIn the live sessions we will combine online lectures with hands-on computational exercises\, in Python\, to provide both theoretical understanding and practical skills in the analysis of complex networks. \nWhether you are a biologist\, sociologist\, computer scientist\, or researcher in any other field\, this course will equip you with valuable tools and insights for studying and analysing complex systems through the lens of network theory. Join us as we explore the fascinating world of complex networks! \n\n— \nThe Global Plant Council members are entitled to a 20% discount on course fees using the discount code: GC927384
URL:https://globalplantcouncil.org/event/introduction-to-network-analysis-and-modelling/
LOCATION:Online
CATEGORIES:Bioinformatics
ATTACH;FMTTYPE=image/webp:https://globalplantcouncil.org/wp-content/uploads/2024/03/Course-Introduction-to-Network-Analysis-and-Modeling.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240418
DTEND;VALUE=DATE:20240420
DTSTAMP:20240321T151337Z
CREATED:20240321T151337Z
LAST-MODIFIED:20240321T151337Z
UID:20483-1713398400-1713571199@globalplantcouncil.org
SUMMARY:Graphs with R’s ggplot
DESCRIPTION:In this two-day course\, students will learn to build and customize ggplot graphics.  The ggplot2 package is built upon the Grammar of Graphics of Leland Wilkenson.  Wilkenson described how all quantitative data visualizations share common component elements.  Learning this grammar enables efficient construction (or modification of) of professional graphics. \nThis course will teach the core elements (data\, aesthetics\, and geometries) as well as more advanced topics of information communication and styling (annotation\, themes\, and facets).  Class exercises will cover common visualization tasks such as rescaling axes\, managing legends\, reordering categories\, and highlighting data elements of special interest. \nStudents are encouraged to bring data and graph ideas based on their own work. The course content assumes some prior basic R experience and will require a current install of both R and RStudio. \nDr. Ashton Drew is owner of data consulting firm KDV Decision Analysis LLC and an R Studio Certified Tidyverse and Shiny instructor. \n\n— \n\nThe Global Plant Council members are entitled to a 20% discount on course fees using the discount code: GC927384
URL:https://globalplantcouncil.org/event/graphs-with-rs-ggplot/
LOCATION:Online
CATEGORIES:Bioinformatics
ATTACH;FMTTYPE=image/webp:https://globalplantcouncil.org/wp-content/uploads/2024/03/Short-course-Graphs-with-Rs-ggplot.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240403
DTEND;VALUE=DATE:20240406
DTSTAMP:20240321T135336Z
CREATED:20240321T135223Z
LAST-MODIFIED:20240321T135336Z
UID:20472-1712102400-1712361599@globalplantcouncil.org
SUMMARY:Data Manipulation with R Tidyverse
DESCRIPTION:This course will highlight useful tools of data manipulation from R’s Tidyverse suite of packages. The Tidyverse packages are built upon a philosophy of a tidy data structure: a rectangular (spreadsheet-like) data structure where each row is one observation\, each column is one variable\, and each cell contains one value. The Tidyverse packages follow a set of shared rules and share a common syntax style\, both designed to maximize code readability and reproducibility. \n\n\n\nThe emphasis of this short course will be on the core packages dplyr and tidyr in combination with packages specific to manipulating date-time data (lubridate)\, text data (stringr)\, and categorical data (forcats). Class exercises will provide practice restructuring data\, value replacement\, group operations\, and row- and column-wise functions. \nThe course content assumes some prior basic R experience and will require a current install of both R and RStudio. \n\n\n\n\n\n\n— \nThe Global Plant Council members are entitled to a 20% discount on course fees using the discount code: GC927384
URL:https://globalplantcouncil.org/event/data-manipulation-with-r-tidyverse/
LOCATION:Online
CATEGORIES:Bioinformatics,Other Skills
ATTACH;FMTTYPE=image/webp:https://globalplantcouncil.org/wp-content/uploads/2024/03/Course-Data-Manipulation-with-R-Tidyverse.webp
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