| 1. |
- Dupret, Katia, et al.
(author)
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Research collaboration for societal engagement and social innovation : Guidelines and reflections for best practices
- 2023
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Reports (other academic/artistic)abstract
- We understand research for societal engagement as research that is societally relevant in the sense that it fosters engagement and collaboration among different social actors. If you are interested in research collaboration with multiple stakeholders from inside and outside the university, this guide will provide you with guidelines to initiate, consolidate, and finalize collaborations, while addressing central dilemmas that transdisciplinary collaborators might meet along the way.These guidelines offer a way to engage with such dilemmas, aware that not all dilemmas can always be solved, as they emerge at individual, inter-subjective orpartnership level, often structured by institutional and organisational actions or logics that go beyond a particular collaborative project. While we haveinstitutionalized and well documented procedures and rules for ethical and responsible conduct of research and transdisciplinary collaborations, theseguidelines address a perspective that is embedded in local needs and practices, and which takes individual situatedness and inter-subjective relations into account. This guide invites general reflection on aspects related to conducting research with the aim of strengthening and upscaling societal engagement and social innovation. It offers an explorative approach to solution finding in situations of collaboration, inspired by core research responsibility dimensions (RRI –responsible research and innovation) like inclusion, reflexivity, transparency, anticipation and responsiveness and considerations of ethics of care. It thus linksbottom-up and social innovation with RRI and interrelational thinking.
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| 2. |
- Wolf, Jochen B. W.
(author)
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Principles of transcriptome analysis and gene expression quantification : an RNA-seq tutorial
- 2013
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In: Molecular Ecology Resources. - : Wiley. - 1755-098X .- 1755-0998. ; 13:4, s. 559-572
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Journal article (peer-reviewed)abstract
- Genome-wide analyses and high-throughput screening was long reserved for biomedical applications and genetic model organisms. With the rapid development of massively parallel sequencing nanotechnology (or next-generation sequencing) and simultaneous maturation of bioinformatic tools, this situation has dramatically changed. Genome-wide thinking is forging its way into disciplines like evolutionary biology or molecular ecology that were historically confined to small-scale genetic approaches. Accessibility to genome-scale information is transforming these fields, as it allows us to answer long-standing questions like the genetic basis of local adaptation and speciation or the evolution of gene expression profiles that until recently were out of reach. Many in the eco-evolutionary sciences will be working with large-scale genomic data sets, and a basic understanding of the concepts and underlying methods is necessary to judge the work of others. Here, I briefly introduce next-generation sequencing and then focus on transcriptome shotgun sequencing (RNA-seq). This article gives a broad overview and provides practical guidance for the many steps involved in a typical RNA-seq work flow from sampling, to RNA extraction, library preparation and data analysis. I focus on principles, present useful tools where appropriate and point out where caution is needed or progress to be expected. This tutorial is mostly targeted at beginners, but also contains potentially useful reflections for the more experienced.
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