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Open Science

The Stratton lab is part of The Neuro's Open Science initiative.

 

We pledge to:

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- Share our data and code to facilitate collaborations among our colleagues.

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- Conduct our research in an unbiased and transparent manner.

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- Provide educational tools to help conduct and analyze single cell experiments.

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TTRUTH

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Using a deep-learning approach, the Stratton Lab generates a refined geneset that enables reliable assessment of the quality of brain-derived transcriptomic samples (termed TTRUTH).

TTRUTH Tool

SINGLE CELL WEBSITE

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We developed an open website where we provide easy-access to single cell datasets so users can explore single cell data in an efficient and user-friendly manner. 

Single Cell Website

Open Science Anchor

OPEN SCIENCE CHAIR

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Dr Stratton is the scientific chair of the Neuro's Open Science Committee - she leads a team of PIs to advise and support the implementations of open science practice at the Neuro. She also lectures on open science topics in McGill's NEUR705 course.

Committee

HATROCK AWARD FOR OPEN METHODS DEVELOPMENT

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An annual award in memory of Dale Hatrock. Dale was a Stratton Lab graduate student who was passionate about developing scientific methods and sharing his experimental design and ideas with colleagues.

Hatrock Award

OPEN SCIENCE TRAINEE COUNCIL

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Finn Creegan and Airton Sinott play key leadership roles within The Neuro's Open Science Trainee community, including chairing the trainee council

Trainees

OPEN CODE

 

We strive to post all code from our publications publicly.

Code

PUBLISHING OPEN ACCESS

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We strive to make all publications

open access.

For an up-to-date list, see our team members' google scholar pages.

Open Access

SMART LABS

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We developed SmartLab, a modular platform designed to modernize laboratory infrastructure using affordable hardware integrated with self-hosted software. SmartLab combines environmental sensors, digital search tools, shared laboratory displays, and a centralized web interface to improve communication, monitoring, and reproducibility across research and clinical environments. Alexis Allot won the 2025 TOSI Champions award due to his open science vision for this, and related work.

Award Recognition

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