Rakesh Netha

Research Associate @NCBS_Bangalore, PhD @IMScChennai | Computational Biology, Bioinformatics | Sports enthusiast.

[Satya Dev PVS @SatyaDev2064]

@biorxiv_genomic Excited to share our paper on the changes in 3D chromatin architecture across cell cycle stages in the pathogenic basidiomycete yeast, Cryptococcus neoformans. @ranjithpa @KaustuvSanyal @DimpleNotani @DuttaShuvadip @rakeshnetha_v

[bioRxiv Genomics @biorxiv_genomic]

Spatio-temporal chromosomal arrangements by late-replicating heterochromatin https://t.co/V3V8zbKQ19 #biorxiv_genomic

[Rahul Siddharthan @rsidd120]

New preprint by @pavitra_1994 and myself, applying an old evolutionary model and a new algorithm to study the evolution of transcription factor binding sites.
https://t.co/xhOgik6znX

[Rakesh Netha @rakeshnetha_v]

@imfemalecricket I have seen such actions last was when I was playing gully cricket as a kid.

[Rakesh Netha @rakeshnetha_v]

@imfemalecricket This is disgusting. Such a player doesn't deserve to be captain of team India irrespective of how talented she is

[Vincent D Souza @Vincentsjotting]

Buckingham Canal: 90kms south of Chennai: the waterway as it was!

[Rakesh Netha @rakeshnetha_v]

Great ODI matches are going in women's Ashes. Nat Sciver has been nightmare to Indian women team. Now she is doing against Australia too👏👏 #Ashes2023

[The Institute of Mathematical Sciences @IMScChennai]

Computation Biology Group member @JananiRavi1803 passed her PhD thesis defense on Wednesday. Her work is titled, "Exposome and health: Characterization and network-based exploration of diverse environmental chemical spaces". #PhDone #PhinisheD. Here is a brief note on her work.

[Vivek Ananth @vivekananthrp]

Excited to inform the release of IMPPAT 2.0 (https://t.co/vhaV8cEUtm): an enhanced and expanded phytochemical atlas of Indian medicinal plants. From the lab of @areejitsamal. Thanking co-authors @karthikeyan_mo & @AjayaK_Sahoo.(1/7)
#ChemTwitter #Cheminformatics #NaturalProduct

[Rakesh Netha @rakeshnetha_v]

In GM12878, Group1 TFs primarily target housekeeping genes, whereas Group2 target genes are enriched for cell lineage-specific functions. In K562 and HeLa-S3, Group 1 is largely similar but Group 2 changes, suggesting lineage-specificity. (6/6)

[Rakesh Netha @rakeshnetha_v]

Our manuscript on how transcription factors interact in 3D chromatin (with @hannenhalli, L Narlikar, @rsidd120) is on biorxiv now. Brief summary in thread below.(1/6)
https://t.co/dlti3kjo5J

[Rakesh Netha @rakeshnetha_v]

These two TF groups interact differently with proteins, DNA, and genes. Group1 TFs tend to bind proximally to Transcription Start Sites whereas Group2 TFs bind distally. Attracting TF pairs are significantly enriched for physical protein-protein and domain-domain interactions 5/6

[Aswathy_N_P @AswathyN3]

The thermocycler : "Do you recognise this Candida auris clade?"
ClaID: "Yes, I do."

@KaustuvSanyal @rsidd120
@pavitra_1994 @JournalSpectrum
Delighted to share our latest article that found its home in Microbiology Spectrum.. https://t.co/O76sSqsVSX