Zobrazeno 1 - 10
of 48
pro vyhledávání: '"HIMANSHU SINHA"'
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110358- (2024)
Summary: Utilization of 16S rRNA data in constraint-based modeling to characterize microbial communities confronts a major hurdle of lack of species-level resolution, impeding the construction of community models. We introduce “Panera,” an innova
Externí odkaz:
https://doaj.org/article/45e949097c5f4d29835db8b640884468
Autor:
Ramya Vijayram, Nikhita Damaraju, Ashley Xavier, Bapu Koundinya Desiraju, Ramachandran Thiruvengadam, Sumit Misra, Shilpa Chopra, Ashok Khurana, Nitya Wadhwa, GARBH-Ini Study Group, Raghunathan Rengaswamy, Himanshu Sinha, Shinjini Bhatnagar
Publikováno v:
BMC Pregnancy and Childbirth, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Different formulae have been developed globally to estimate gestational age (GA) by ultrasonography in the first trimester of pregnancy. In this study, we develop an Indian population-specific dating formula and compare its perfor
Externí odkaz:
https://doaj.org/article/c925422f00454d028a0a5affdacc5644
Publikováno v:
Microbial Biotechnology, Vol 14, Iss 6, Pp 2254-2256 (2021)
Externí odkaz:
https://doaj.org/article/7c4f805fca2e436e89c9a852800ab187
Autor:
Beethika Tripathi, Srinivasan Parthasarathy, Himanshu Sinha, Karthik Raman, Balaraman Ravindran
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Biological networks catalog the complex web of interactions happening between different molecules, typically proteins, within a cell. These networks are known to be highly modular, with groups of proteins associated with specific biological functions
Externí odkaz:
https://doaj.org/article/da8924e22e854913b77b68f12dc1eb94
Autor:
Saumya Gupta, Aparna Radhakrishnan, Rachana Nitin, Pandu Raharja-Liu, Gen Lin, Lars M. Steinmetz, Julien Gagneur, Himanshu Sinha
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 6, Iss 8, Pp 2255-2263 (2016)
Studying the molecular consequences of rare genetic variants has the potential to identify novel and hitherto uncharacterized pathways causally contributing to phenotypic variation. Here, we characterize the functional consequences of a rare coding v
Externí odkaz:
https://doaj.org/article/aac4dd939060430ab34b858828e38e41
Autor:
Anupama Yadav, Aparna Radhakrishnan, Anshuman Panda, Amartya Singh, Himanshu Sinha, Gyan Bhanot
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0166021 (2016)
The ribosome is an ancient machine, performing the same function across organisms. Although functionally unitary, recent experiments suggest specialized roles for some ribosomal proteins. Our central thesis is that ribosomal proteins function in a mo
Externí odkaz:
https://doaj.org/article/582066a4b9254cd6b25f2d75e1e26a93
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0162326 (2016)
The ability of a genotype to show diverse phenotypes in different environments is called phenotypic plasticity. Phenotypic plasticity helps populations to evade extinctions in novel environments, facilitates adaptation and fuels evolution. However, m
Externí odkaz:
https://doaj.org/article/6c8803dbbebc4e93980652d35ba7fd0d
Autor:
Julien Gagneur, Himanshu Sinha, Fabiana Perocchi, Richard Bourgon, Wolfgang Huber, Lars M Steinmetz
Publikováno v:
Molecular Systems Biology, Vol 5, Iss 1, Pp 1-9 (2009)
Abstract Recent reports have shown that most of the genome is transcribed and that transcription frequently occurs concurrently on both DNA strands. In diploid genomes, the expression level of each allele conditions the degree to which sequence polym
Externí odkaz:
https://doaj.org/article/5a824d746dc449e1b1fe29a3a31586a5
Autor:
Saumya Gupta, Aparna Radhakrishnan, Pandu Raharja-Liu, Gen Lin, Lars M Steinmetz, Julien Gagneur, Himanshu Sinha
Publikováno v:
PLoS Genetics, Vol 11, Iss 6, p e1005195 (2015)
Even with identification of multiple causal genetic variants for common human diseases, understanding the molecular processes mediating the causal variants' effect on the disease remains a challenge. This understanding is crucial for the development
Externí odkaz:
https://doaj.org/article/883680140d11499b816c36f238473bde
Publikováno v:
Canadian Journal of Biotechnology, Vol 1, Iss Special Issue, Pp 46-46 (2017)
Integrating network theory approaches over time-resolved genome-wide gene expression data, we proposed a network-based framework, which considered intricate dynamic regulatory relationships of transcription factors and target genes, for assessing the
Externí odkaz:
https://doaj.org/article/982e627cf0ce45489fb05a3dae0da5ce