3 trainers found

Interest: Data Management Systems  or Open Science 

and

Language: French  or Hindi 


Nitika Kandhari

I'm a PhD student at Biomedicine Discovery Institute, Monash University with a strong Bioinformatics background and interest in cancer research. I work as a Bioinformatician with the Monash Bioinformatics Platform, where I work with a variety of biological datasets such as RNA-seq, single-cell...

Location: Clayton, Victoria, Australia

Kandhari Nitika nitika200492@gmail.com Clayton, Victoria, Australia I'm a PhD student at Biomedicine Discovery Institute, Monash University with a strong Bioinformatics background and interest in cancer research. I work as a Bioinformatician with the Monash Bioinformatics Platform, where I work with a variety of biological datasets such as RNA-seq, single-cell RNA-seq, ChIP-seq and ATAC-seq. I love travelling, trekking and trying out different cuisines. ["English", "Hindi", "Panjabi; Punjabi"] https://orcid.org/0000-0002-0261-727X
Stéphane Guillou

Open Science principles advocate.

Location: Meanjin / Brisbane, Australia.

Guillou Stéphane s.guillou@uq.edu.au Meanjin / Brisbane, Australia. Open Science principles advocate. ["English", "French", "Spanish; Castilian"] https://orcid.org/0000-0001-8992-0951
Tim Langlois

Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...

Location: GitHub

Langlois Tim tim.langlois@uwa.edu.au GitHub Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way. ["English", "French"] https://orcid.org/0000-0001-6404-4000