Postdoctoral Research Associate, Plant Molecular Biotechnology Laboratory, Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
Beautiful and delicious mutants: The origins, fates, and benefits of molecular sequence variation in plant evolution and breeding (Thomas L Slewinski, Sarah Turner-Hissong, Tomasz Paciorek, Brent Brower-Toland, Christine Shyu) https://t.co/OifqfabWrl #PlantScience
Novel insights into maize development and organogenesis for agricultural optimization
Fig. 3 Organ structures and nodes in maize plant.
https://t.co/LLS9rzGYlP
https://t.co/m2IdkAXxB7
Our next G2 Seminar will be via ZOOM on Monday, 3/24 at 4 pm with Dr. Maojun Wang from the Dept. of Plant Breeding & Genetics at Cornell University.
“Cotton genome research unlocks the potential for fiber quality improvement”
Note: Request for zoom link via [email protected]
#TansleyReview: Historic rewiring of grass flowering time pathways and implications for #crop improvement under #ClimateChange
Brittany Verrico and Jill C. Preston
👇
📖 https://t.co/klP9TzkpOG
#LatestIssue @wileyplantsci
PhenoMultiOmics for biomarker & drug target discovery
An online platform for integrated multi-omic (transcriptome-proteome-metabolome) analysis
https://t.co/48zS2tVy5U
5540 enzyme reactions
45 cancer types
759558 gene-protein-metabolite-phenotype/disease associations
data from Metabolic Atlas, BRENDA, RHEA, EnzymeMap
Other multiomics servers
OmicsNet
MiBioMics
#Bioinformatics 2024
https://t.co/X38GTkQnr7
In our new @NatureGenet article we contemplate 3 future pathways to rapidly achieve ultimate genotypes in crops & livestock: accelerated recombination with gene editing, direct editing of whole-genome haplotype sequences and synthetic biology https://t.co/LgSJ7C81KY
You've spent months on your research, only to realize you used the wrong method. Ouch. Research methods confuse most people.
I see more boring, unappealing, and standard explanations by the day.
Because it's challenging to understand them all.
It requires many skills. Like:
→ Data analysis
→ Critical thinking
→ Experimental design
→ Statistical interpretation
All part of conducting great research.
Yet, many researchers fail at choosing the right method.
Here are 5 key branches of research methods:
→ Quantitative (numbers-based analysis)
→ Qualitative (exploratory, non-numerical)
→ Mixed Methods (combining both)
→ Experimental (testing cause-effect)
→ Observational (watching without interference)
A good researcher must be able to navigate these methods.
Qualitative methods are crucial for in-depth understanding.
Here's how I would structure a qualitative study:
1. Research question (what you want to explore)
2. Data collection (interviews, observations)
3. Thematic analysis (finding patterns)
4. Interpretation (making sense of findings)
5. Conclusion (addressing the research question)
I'd aim for rich, detailed descriptions in my methodology.
And for as much depth and context as my data allows.
Here are 7 qualitative methods I love:
1. Ethnography
2. Case Study
3. Phenomenology
4. Grounded Theory
5. Content Analysis
6. Action Research
7. Historical Research
Good luck with choosing a research method that doesn't fail.
It's a challenge. I think my methods could improve as well.
Please share your favourite research method in the comments if it helped you publish a paper.
It's helpful to many new researchers to get inspiration.
What do you think makes or breaks a good research methodology?
35 most useful tools for PhD students and researchers.
Literature Review
1. @LitmapsApp
2. @R_Discovery
3. @Scite
4. @ConnectedPapers
5. @ResearchPal_AI
6. Journal Finder
Paper Writing
1. @teampaperpal
2. @thetrinkaai
3. @Grammarly
4. @scispace
5. @overleaf
6. Google Doc
Paper Reading
1. @scholarcy
2. Petal AI
3. @OutreadApp
4. Enago Read (previously https://t.co/CacGs5lyVw)
5. Scribe AI
6. R Discovery
Research Presentations
1. @gammaapp
2. @10Web_io
3. @canva
4. https://t.co/P5Fpo7aC7G
5. https://t.co/jSStHw6T6Y
6. Mind the Graph
Note Taking
1. Otter
2. Pocket
3. Google Keep
4. @NotionHQ
5. Audio Pen
6. @ScrivenerApp
Data Analysis
1. SPSS
2. Tableau
3. PowerBI
4. MS Excel
5. Minitab
6. Nvivo
Any other tool you'd like to add to this list?
#research #tool