S
Sarika Jalan
Researcher at Indian Institute of Technology Indore
Publications - 180
Citations - 2618
Sarika Jalan is an academic researcher from Indian Institute of Technology Indore. The author has contributed to research in topics: Eigenvalues and eigenvectors & Multiplexing. The author has an hindex of 26, co-authored 157 publications receiving 2178 citations. Previous affiliations of Sarika Jalan include Academia Sinica & Max Planck Society.
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Fundamental principles governing sporulation efficiency: A network theory approach
TL;DR: It is suggested that late appearance of known early sporulation regulators and a delay in crosstalk between functional modules can be construed as the prime reasons behind low sporulation efficiency of the S288c.
Posted ContentDOI
Impact of mitochondrial epistatic interactions on evolution of different human subpopulations
TL;DR: In this paper, the authors analyzed nucleotide co-occurrence over the entire human mt-genome and found evidence that mutation biases at second codon position and RNA genes were critical to producing continental level heterogeneity among human subpopulations.
Posted ContentDOI
Impact of modular mitochondrial epistatic interactions on the evolution of human subpopulations
Pramod Shinde,Harry J. Whitwell,Rahul Kumar Verma,Mikhail Ivanchenko,Alexey Zaikin,Sarika Jalan,Sarika Jalan +6 more
TL;DR: Results demonstrated that subpopulation-based biases may favor mitochondrial gene specific epistasis, and ancestry-based co-mutation module analyses showed that mutations cluster preferentially in known mitochondrial haplogroups.
Posted Content
Symmetry in cancer networks identified: Proposal for multi-cancer biomarkers
Pramod Shinde,Loïc Marrec,Aparna Rai,Alok Yadav,Rajesh Kumar,M. V. Ivanchenko,Alexey Zaikin,Sarika Jalan +7 more
TL;DR: In this paper, structural symmetry was identified in underlying weighted protein-protein interaction (PPI) networks constructed using seven major cancers data and functional assessment of proteins forming these structural symmetry exhibited the property of cancer hallmarks.
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Codon based co-occurrence network motifs in human mitochondria
TL;DR: In this paper, a powerful network model was developed to describe complex mitochondrial evolutionary patterns among codon and non-codon positions, and the diversity observed in the mtDNA was compared with mutations, co-occurring mutations, and network motifs considering codon positions as causing agent.