Author

Prashanth Kumar Guthikonda

University of Hyderabad

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:mouse· 1

Frequent Co-Authors

Sreenivasulu KurukutiiD· 2 shared Harpreet SinghiD· 1 shared Janakiram Rayabaram· 1 shared Keerthivasan Raanin ChandradossiD· 1 shared Kuljeet Singh SandhuiD· 1 shared Monika Dass· 1 shared Rakhee Nayak· 1 shared Sailu YellaboinaiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

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10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Sreenivasulu KurukutiORCID

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2 papers

Recent·Most cited

Repurposing the biased visibility in HiC datasets to mark dynamically regulated condensed and decondensed chromatin states genome-wide.

Keerthivasan Raanin Chandradoss, Prashanth Kumar Guthikonda, Srinivas Kethavath, Monika Dass, Harpreet Singh, Rakhee Nayak, Sreenivasulu Kurukuti, Kuljeet Singh Sandhu

The paper shows HiC datasets have bias due to chromatin condensation, which can be used to study dynamic chromatin states.

bioRxiv · Mar 31, 2019 · PreprintGenomics

Polymorphic dynamics of ribosomal proteins gene expression during somatic cell reprogramming and their differentiation into specialized cells-types

Prashanth Kumar Guthikonda, Sumitha Prameela Bharathan, Janakiram Rayabaram, Trinadha Rao Sornapudi, Sailu Yellaboina, Shaji Ramachandran Velayudhan, Sreenivasulu Kurukuti

The paper examines ribosomal protein gene expression dynamics during somatic cell reprogramming and differentiation, identifying distinct expression patterns and their implications for reprogramming outcomes.

bioRxiv · Sep 26, 2017 · PreprintDevelopmental Biology