Helal Mostofa

Postdoctoral Research Associate, Plant Molecular Biotechnology Laboratory, Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.

[Horticulture Research @Hortres]

Genome-wide study on 104 plant species reveals AQP gene family evolution & drought-tolerance mechanisms. #Aquaporins #DroughtResistance #PlantEvolution @OxfordJournals
Details: https://t.co/rwAkNzEvbs

[Plant Physiology @PlantPhys]

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

[The Plant Cell @ThePlantCell]

PlantConnectome: A knowledge graph database encompassing >71,000 plant articles (Shan Chun Lim , Manoj Itharajula , Mads Harder Møller , Rohan Shawn Sunil , Kevin Fo , et al) https://t.co/kHkDvS5Phe @ASPB #PlantSci

[Python Coding @clcoding]

MIT University just released free online courses.

No payment required.

Here are 8 courses you don't want to miss in 2025:

[Nature Plants @NaturePlants]

New Editorial: "Rethinking field trials" https://t.co/k93d1TqJOD

[Helal Mostofa @Helal_Genomics]

@SorgGuy @ajakudaniel @QAAFI @UQ_News Congratulations

[Helal Mostofa @Helal_Genomics]

@Cropicture_Li Congratulations. It's really a good one to a whole idea about maize development.

[Qinglin Li @Cropicture_Li]

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

[TAMU Genetics and Genomics @TAMUGENE]

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]

[Plant Science @sci_plant]

Wheat2035: Integrating pan-omics and advanced biotechnology for future wheat design

https://t.co/6zvJOrEjmP
♻️

[New Phytologist @NewPhyt]

#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

[Helal Mostofa @Helal_Genomics]

Happy to share our research article about bread wheat flag leaf! @TheorApplGenet https://t.co/WCWWe6AkPx

[JIPB @JIPBio]

0⃣1⃣Big data has met its match!🖥️
Zhu et al. review the progress and future potential of big #data and artificial intelligence-aided #crop #breeding in this new #JIPB invited expert review.
https://t.co/cG99iIgtae @wileyplantsci #PlantSci #CompSci #Biotechnology #Bioinformatics

[Yongfeng Zhou🍇🍷周永锋@[email protected] @yongfeng_zhou]

We build a pangenome reference to study genetic basis of agronomic traits and to establish GS models for grapevine breeding https://t.co/qxF0DXg32G @NaturePortfolio @NatureGenet @IVES_publisher @VitisGen @Hortres @ASHS_Hort @ASPB @PlantEditors @GlobalPlantGPC @GrapeResearch

[Hao Yin @HaoYin20]

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

[Wheat Initiative @WheatInitiative]

This is a great re-read!
A ‘wiring diagram’ for source strength traits impacting wheat yield potential

https://t.co/mykoM262HI

[Lee Hickey @DrHikov]

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

[Prof Lennart Nacke, PhD @acagamic]

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?

[Faheem Ullah @Faheem_uh]

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