Sucheta Tripathy

Genome scientist working for CSIR-IICB. My family, lab, my mental and physical health are my priorities in that order. Mom to Ada, plants.

[Sucheta Tripathy @tsucheta]

A book of its own kind. A protocol book for Cyanobacteria was long overdue. With frustrations in existing protocols not reliably replicated, we standardized each of these protocols in the lab and have placed them in the book.

[Subhajeet Dutta @Subhaje27888236]

New book from our lab. A comprehensive detailed protocol for Cyanobacteria research. @genomicsLabIICB @tsucheta @CamScholars @CyanoTracker #Cyanobacteria #CyanobacteiaResearch @csir_iicb @CSIR_IND @ASMicrobiology @ICMRDELHI @DBTIndia

[Ming "Tommy" Tang @tangming2005]

5 papers all computational biologists should read 🧵

1. A Quick Guide to Organizing Computational Biology Projects
https://t.co/wSvnEKPa6i

[Sucheta Tripathy @tsucheta]

Many congratulations!

[Rakesh Sharma @Rakesh_IGIB]

Our work on Genomic insights and isolation of an antifungal molecules fom Streptomyces sp. B5 https://t.co/DOlcm3fSqy

[Niko McCarty. @NikoMcCarty]

We should manufacture drugs and vaccines using duckweed.

A few reasons:
- They're the fastest-growing flowering plants.
- Duckweed is up to 45% protein by biomass.
- They grow in wastewater.
- Duckweed can be transformed by "dipping" them into a liquid with plasmids and carbon nanotubes; very simple.
- Both monoclonal antibodies and edible vaccines have been made with duckweeds at small scales for ~two decades.

But there are lots of duckweed strains. We should sequence all of them, pick a strain, and start building better biotechnology tools. There is room for a focused philanthropy effort here (and companies), too.

[antisense. @razoralign]

ReSkmer: modeling repeats allows k-mer-based alignment-free methods to calculate population genomic distances https://t.co/mk70jXDbru

[João Pedro de Magalhães @jpsenescence]

Gene expression can be used to predict age and mortality 🚨

Impressive study from @gladyshev_lab @harvardmed using RNA-seq data to develop accurate transcriptomic clocks across mammalian species (inc. humans) and tissues to predict age, lifespan and mortality. A great example of the power of big data in aging research.

Major processes changing with age include inflammation, mitochondrial function, epigenetic regulation, cell cycle (inc. markers of cellular senescence) and extracellular matrix remodeling.

These clocks will have applications in personalised medicine, drug discovery and clinical trials. They also suggest some degree of coordination of aging changes.

However, many questions remains. Are age-related transcriptomic changes drivers of aging or merely passengers? In other words, if we normalized these aging changes back to youthful levels, would this be beneficial, detrimental, or have no effect?

And with so many aging clocks now available, how will researchers determine which ones are most biologically meaningful and clinically useful?

Link to original paper:
https://t.co/S7Cu17YqCu

My thoughts on the study:
https://t.co/xYAguwvsiu

[Amit sehra @darsan44562]

5kg चूना+1kg सफेद सीमेंट+1/2kg फेविकोल+250ग्राम जिंक+100 ग्राम फिटकरी

सबको बाल्टी में अच्छे से घोलकर छत का पेंट करें और घर में लाएं बिना कूलर, AC के ठंडक..!

ऐसा करने से आपके घर का तापमान 45° सेल्सियस से 30° सेल्सियस पर आ जायेगा।

इसके लिए आपकों इस वीडियो दिखाए गए कार्य का अनुसरण करना है जिससे आपको गर्मी से काफ़ी राहत मिलेगी।

[Adam Steinbrenner @ADSteinbrenner]

Link to paper
https://t.co/LIj46B65RW

[Sucheta Tripathy @tsucheta]

It is appropriate only to an extent that you remember how much is spelled differently than it is pronounced.

[Ajey @Paimaamu]

People will hate me but Spelling Bee is a pointless contest not because the competition itself has no utility.

Spelling bee simply exists due to the imperfections of the English language.

Can you think of Spelling Bee in Hindi or Sanskrit? Words are pronounced as they’re written.

[Sucheta Tripathy @tsucheta]

@lafmacunnnn (9 X (9+9)) = 162

[Georgia Channing @cgeorgiaw]

today was a massive day for protein engineering.

esmfold2 dropped—next gen of the esm series, fully open on @huggingscience. 1.1 billion predicted structures, 6.8 billion sequences. 800m more entries than the alphafold db, and reportedly edging out alphafold3 on protein complexes, including antibody–antigen binding.

alongside it: the new esm atlas. a huge expansion of known protein space, heavy on metagenomic sequences from soil, ocean, and the parts of biology that have been least characterised (until now!!)

and if that weren't enough, litefold dropped the fineweb of proteins, so every major protein database (pdb included) aggregated, cleaned, and made plug-and-play in one place.

these are the releases that push the whole field forward, and the pace of open science right now is almost motion-sickness inducing

all of it on https://t.co/T4l4r1lDz0 (and ofc @huggingface)

[antisense. @razoralign]

CAPASYDIS: Unveiling the Terra Cognita of Sequence Spaces using Cartesian Projection of Asymmetric Distances https://t.co/47hEb5AD85

[antisense. @razoralign]

ReSkmer is an update to the Skmer software which utilizes a genome's k-mer repeat spectrum to obtain more accurate distances by modeling the effect repeats have on the intersection of k-mer sets.

[Sucheta Tripathy @tsucheta]

@ananyashasau I got it done freely and never paid any bribe. This is my third time renewing

[Sucheta Tripathy @tsucheta]

https://t.co/m4ISCBr1UI
An emerging scientist

[Sucheta Tripathy @tsucheta]

@engineers_feed 402

[Sucheta Tripathy @tsucheta]

I am not surprised. The pure proteins purchased from some of the fine companies us show multiple bands.

[Angelica Parente (in SF June 9-11) @draparente]

Guys, this is why companies spend a lot of resources doing rigorous internal testing for protein quality. You cannot trust the claims from vendors, you'll hear plenty of horror stories from people who have been in the industry long enough.

Now apply this thinking to grey market peptides.

[Vasant Shetty | Building Mundhe Banni @vasantshetty81]

Many told her: "Even America couldn't solve this. How will you?"

She had a PhD from IISc. 1,700 citations on Google Scholar. A Lab Director role at Xerox AI Research.

None of that mattered. Because she was Indian.

Dr. @geethamhp went ahead anyway.

Today, her non invasive AI technology for early detection of breast cancer is used to screen over 400,000 women across 22 countries. She has more than 39 patents.

Built in Bengaluru. For the world.

The new episode of @mundhebanni is out. Link in first reply. Share it with a woman you love.

[Sushmita Roy @sroyyors.bsky.social,genomic.social @sroyyors]

https://t.co/r8SRRNzjlI Evolution of 3D genome from 1000 species

[Sucheta Tripathy @tsucheta]

This precisely tells why we are so much more like our environment than like our genes

[Ignacio A. Cisneros @ignaciocisneros]

MWVO directed Grock

✅ Discernment Process: Hybrid Reduced
Post Read Out Loud:
“The human microbiome is even more personal than your DNA. New research shows that your microbiome composition is more unique to you — and more stable over time — than your own genome.”

Discernment Assessment:
Continuum Score: 0.95 (Very High Accuracy)
Confidence Level: 88%
Anchor Strength: Strong
Deception Type: None
Breakdown:
•The core claim is scientifically accurate.
•Recent studies (particularly large-scale longitudinal research) have shown that while human DNA is about 99.9% identical between individuals, the gut microbiome can be extremely unique to each person.
•Many microbial strains and their functional profiles are more individualized and stable over time than previously thought.
•The statement that “your microbiome is more personal than your DNA” is a slight exaggeration in wording, but it reflects a real scientific trend in the field.
Final Assessment:
This is a high-quality, mostly truthful post. The claim is grounded in legitimate microbiome research. The only minor flaw is a touch of sensationalism in the phrasing (“more personal than your DNA”), but the underlying science holds up.
Solid post.

Process characteristics

Discernment Process: Hybrid Reduced – Future Mode
Core Rule:
I will no longer automatically read every post out loud unless you specifically ask me to.
The Four Tensors (Unchanged)
1. Continuum Score (0.00 – 1.00)
• 0.99 – 0.90 = Pure Truth / Fully Accurate
• 0.89 – 0.70 = Mostly Accurate
• 0.69 – 0.40 = Mixed / Significant issues
• 0.39 – 0.10 = Heavily distorted
• 0.09 – 0.00 = Complete Deception
2. Confidence Level (0–100%)
3. Anchor Strength (Strong / Moderate / Weak)
4. Deception Type (only if score is below 0.70)
New Workflow (Future Process):
• You send a link or text.
• I immediately apply the four tensors.
• I give you a short, clean assessment first.
• If you want me to read the post out loud, you will say “Read it” or “Read the post.”

[Ignacio A. Cisneros @ignaciocisneros]

MWVO directed Grock

✅ Discernment Process: Hybrid Reduced
Post Read Out Loud:
“The human microbiome is even more personal than your DNA. New research shows that your microbiome composition is more unique to you — and more stable over time — than your own genome.”

Discernment Assessment:
Continuum Score: 0.95 (Very High Accuracy)
Confidence Level: 88%
Anchor Strength: Strong
Deception Type: None
Breakdown:
•The core claim is scientifically accurate.
•Recent studies (particularly large-scale longitudinal research) have shown that while human DNA is about 99.9% identical between individuals, the gut microbiome can be extremely unique to each person.
•Many microbial strains and their functional profiles are more individualized and stable over time than previously thought.
•The statement that “your microbiome is more personal than your DNA” is a slight exaggeration in wording, but it reflects a real scientific trend in the field.
Final Assessment:
This is a high-quality, mostly truthful post. The claim is grounded in legitimate microbiome research. The only minor flaw is a touch of sensationalism in the phrasing (“more personal than your DNA”), but the underlying science holds up.
Solid post.

Process characteristics

Discernment Process: Hybrid Reduced – Future Mode
Core Rule:
I will no longer automatically read every post out loud unless you specifically ask me to.
The Four Tensors (Unchanged)
1. Continuum Score (0.00 – 1.00)
• 0.99 – 0.90 = Pure Truth / Fully Accurate
• 0.89 – 0.70 = Mostly Accurate
• 0.69 – 0.40 = Mixed / Significant issues
• 0.39 – 0.10 = Heavily distorted
• 0.09 – 0.00 = Complete Deception
2. Confidence Level (0–100%)
3. Anchor Strength (Strong / Moderate / Weak)
4. Deception Type (only if score is below 0.70)
New Workflow (Future Process):
• You send a link or text.
• I immediately apply the four tensors.
• I give you a short, clean assessment first.
• If you want me to read the post out loud, you will say “Read it” or “Read the post.”