Navoun SILUE @Navounsil

Congratulations @Xu_Zhang1 et al.! It is so important to have assays to study #drug-#microbiome-host interactions

Xu Zhang @Xu_Zhang1

2 years ago

Excited to share our preprint on multilevel proteomic characterization of a Caco-2 intestinal cellular model. Check it out if you are studying the host-gut bacteria interactions, microbiomes and drugs targeting the GI tract. @ruichen1 @DanielFigeys biorxiv.org/content/10.110…

1 2 4 1K 1

pUdOs: Concise Plasmids for Bacterial and Mammalian Cells | ACS Synthetic Biology pubs.acs.org/doi/10.1021/ac…

Zotero is the best citation and reference management app. It's totally free. But many folks don't know how to use it. Here's a tutorial on how to automate your citations and references with Zotero:

The uOKN team is headed to main campus! We will be hosting a Global Entrepreneurship Week event in room 122 of the STEM Complex on November 17th from 11am to 1pm. See you all there! More information and registration below: eventbrite.ca/e/from-researc…

As an academic writing coach, here are the 5 most common mistakes I see researchers make when they write their Discussion sections. A thread. 🧵 #PIchat #newPI #ECRchat

Here’s a CV template created by Harvard. I have uploaded the word form to a google drive so you don’t have to create from scratch. You just need to edit and include your details.

Design of Experiment in Research - A Simple Explanation 🧪 💎 Intro to Design of Experiment (DOE) Imagine baking a cake. How do you know which ingredients or oven temperature give the best result? Just like in baking, researchers use DOE to test multiple factors at once to find the best "recipe" for success. 💎 Why Use DOE? It's efficient! Instead of testing one thing at a time, DOE lets you test many factors simultaneously. It's like checking how flour, sugar, AND eggs affect your cake all at once. 💎 Basics: Factors & Levels • Factors: These are the variables you're studying. For the cake, it's ingredients like sugar, flour, and eggs. • Levels: The different amounts or settings of each factor. Maybe you try 1 cup or 2 cups of sugar, for instance. 💎 Randomization DOE isn't just random. But to avoid biases, you randomize the order of tests. Like shuffling a deck of cards to keep the game fair. 💎 Replication To be sure your results aren't just flukes, you do the experiment multiple times. It's like baking several cakes to ensure your new recipe consistently tastes great. 💎 Interaction Sometimes factors combined can have surprising results. Maybe sugar and eggs together make the cake rise more than expected. That’s an interaction! 💎 Blocking If there’s an unwanted variation that might affect results (like different ovens), you "block" experiments by that factor. This keeps your results more consistent. 💎 Benefits of DOE: 1. Efficient use of resources. 2. Comprehensive understanding. 3. Finds interactions that might be missed in one-factor-at-a-time experiments. 💎 Types of DOE: • Factorial Design: Tests all possible combinations of factors and levels. Super thorough! • Fractional Factorial: A shortcut version. Tests only a fraction of combinations but still gives insights. • Response Surface Methods: Helps find the "sweet spot" where conditions are just right. 💎 Analyze & Interpret After running a DOE, you’ll use statistics to figure out which factors are most important, and how they work together. The goal? A recipe (or solution) that’s just right. 💎 DOE in Real Life It’s not just for baking or labs! Manufacturers, marketers, farmers, and many others use DOE to optimize products and processes. It's a powerful tool to make things better, faster, and cheaper. 💎 Wrap Up Design of Experiment is like a sophisticated recipe book for researchers. It guides them in testing multiple ingredients at once, so they can find the best mix for success. Remember, life's too short for bad cake (or inefficient experiments). Happy researching! 🧪🔍 #Statistics #DataScience

Why We Use p<0.05 🔹 Ever wondered why scientists often use p<0.05 as the threshold for statistical significance? Let's dive into its history, implications, and alternative approaches. 🔹 The p<0.05 threshold can be traced back to Sir Ronald A. Fisher in the 1920s. He suggested the 5% level as a convenient boundary for significance. However, it's important to note he never intended for it to become a rigid rule. 🔹 The p value tells us the probability of obtaining our observed results (or more extreme) if the null hypothesis is true. So, p<0.05 implies there's less than a 5% chance our results happened due to random variation alone. 🔹 However, there are critiques. Relying solely on p<0.05 has led to "p-hacking" - tweaking experiments to achieve this threshold. It's also been implicated in the replication crisis, where many scientific studies couldn't be reproduced. 🔹 So, is p<0.05 the correct way to test a hypothesis? Well, it's a tool. When used correctly and with understanding, it can provide valuable insights. But, like any tool, it has limitations. 🔹 Some suggest a more flexible approach: •Using different thresholds depending on the field or study. •Looking at effect sizes alongside p-values. •Emphasizing confidence intervals to provide a range of plausible values. 🔹 Bayesian statistics is another approach. Instead of frequentist's p-values, it provides a direct probability statement about the parameter in question using prior information and observed data. This can sometimes offer a more intuitive understanding. 🔹 In conclusion, while p<0.05 has historical significance and is widely used, it shouldn't be the sole determinant of a study's validity. Science is ever-evolving, and so should our methods and understanding of data interpretation. 🔹 As always, critical thinking is key! Don't just take p<0.05 at face value. Dive deeper, understand the context, and consider alternative methods when interpreting results. #DataScience #Statistics

What qualities do you need to be a successful scientist? 2018 medicine laureate Tasuku Honjo shares what he believes are the "three c's": curiosity, courage and challenge. #NobelPrize

"One of the most important things as a scientist is that you have to be an optimist. If you’re a pessimist, a failed experiment will tell you that the whole idea is bad and you’ll quit. When you fail you have to continue." - chemistry laureate Richard Henderson's advice.

How hard is it to do science in a language that’s not your first language? We quantified the severity of #languagebarriers for non-native English speakers when reading/publishing papers and attending/presenting at international conferences. doi.org/10.1371/journa… 1/9

Can I retweet my own paper?! :) Great work Courtney and Team digging into this unique data set. @DartCF @m2p2_dartmouth

ASM @ASMicrobiology

3 years ago

An observation study published in #mSphere provides insights into the development of the gut microbiome in children with cystic fibrosis over the first 4 years of life—a critical window of both microbiome and immune maturation. Read the article: asm.social/1kn

0 3 19 7K 5

À tous les microbiologistes francophones du Canada, le BiSP est de retour pour une 6e édition, le 14-15 sept 2023 @UMontreal! 2 conférenciers invités seront parmi nous: Cécile Morlot et Jean-Marc Ghigo. #BiSP2023 Inscription jusqu’au 31 juillet 2023. event.fourwaves.com/fr/bisp2023/pa…

pUdOs: concise plasmids for bacterial and mammalian cells ift.tt/1AgJKy7 #biorxiv_synbio

For the #ECRday2023 we have also a session for Advanced Proteomics on July 17th at 12:50-2:20. Join us there and listen to the exciting topics from @LabGeiger and @DanielFigeys. We are looking forward meeting you and hope for many questions! #EuPA2023 #BSPREUPA2023

Young Proteomics Investigators Club @EU_YPIC

3 years ago

Are you at the #EuPA2023? Then don't forget to check your mails and register for the YPIC sessions. Join us and reserve your seat for interesting talks and sessions. See you there!

0 4 12 7K 0

A career is a marathon, not a sprint. Embrace the unexpected twists, relish the journey and seize every experience as an opportunity to grow. #careeradvice #DailyAllenInspirations

That’s an end of @CSM2023_Halifax ! What an incredible week of networking and science. Now go forward, continue your awesome science, and strengthen our @CSM_SCM society.

Exciting review paper! We explored Shigella's genetic evolution, the Toxin-Antitoxin role, and the virulence genes expression regulatory. A Tale about Shigella: Evolution, Plasmid, and Virulence mdpi.com/2367020 #mdpimicroorganisms via @Micro_MDPI @FXCV1 @CSM_SCM @T3SS2

Standing on the shoulders of giants… Amazing and inspiring talk given by Dr. Surette from @BBS_McMasterU for his Murray Career Achievement Award he received at the @CSM_SCM @CSM2023_Halifax conference. A great take home message: “Be curious!”