S
Sridhar Hannenhalli
Researcher at University of Maryland, College Park
Publications - 184
Citations - 23355
Sridhar Hannenhalli is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Gene & Cancer. The author has an hindex of 49, co-authored 162 publications receiving 21959 citations. Previous affiliations of Sridhar Hannenhalli include National Institutes of Health & University of Cambridge.
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Genome Sequence Comparison and Scenarios for Gene Rearrangements: A Test Case
TL;DR: Algorithms to analyze rearrangements of multiple genomes were developed and applied to the derivation of most parsimonious scenarios of herpesvirus evolution under different evolutionary models, which will be applicable to the comparative analysis of bacterial and eukaryotic genomes as soon as their sequences become available.
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Eukaryotic transcription factor binding sites—modeling and integrative search methods
TL;DR: Recent attempts to improve computational identification of transcription factor binding sites through two types of approaches are discussed: approaches that aim to improve binding motif models by extracting maximal sequence information from experimentally determined binding sites and approaches that supplementbinding motif models with additional genomic or other attributes (such as evolutionary conservation).
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Maternal depletion of CTCF reveals multiple functions during oocyte and preimplantation embryo development
Le Ben Wan,Hua Pan,Sridhar Hannenhalli,Yong Cheng,Jun Ma,Andrew M. Fedoriw,Victor V. Lobanenkov,Keith E. Latham,Richard M. Schultz,Marisa S. Bartolomei +9 more
TL;DR: Maternal pronuclear transfer and C TCF mRNA microinjection experiments indicate that CTCF is a mammalian maternal effect gene, and that persistent transcriptional defects rather than persistent chromosomal defects perturb early embryonic development.
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Gene coexpression network topology of cardiac development, hypertrophy, and failure.
Frederick E. Dewey,Marco V Perez,Matthew T. Wheeler,Clifton Watt,Joshua M. Spin,Peter Langfelder,Stephen Horvath,Sridhar Hannenhalli,Thomas P. Cappola,Euan A. Ashley +9 more
TL;DR: Although the analysis did not find evidence for a global coordinated program of fetal gene expression in adult myocardial adaptation, the analysis revealed specific gene expression modules active during both development and disease and specific candidates for their regulation.
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Harnessing synthetic lethality to predict the response to cancer treatment.
Joo Sang Lee,Joo Sang Lee,Avinash Das,Livnat Jerby-Arnon,Rand Arafeh,Noam Auslander,Noam Auslander,Matthew D. Davidson,Lynn McGarry,Daniel James,Arnaud Amzallag,Arnaud Amzallag,Seung Gu Park,Kuoyuan Cheng,Kuoyuan Cheng,Welles Robinson,Welles Robinson,Dikla Atias,Chani Stossel,Ella Buzhor,Gidi Stein,Joshua J. Waterfall,Paul S. Meltzer,Talia Golan,Talia Golan,Sridhar Hannenhalli,Eyal Gottlieb,Cyril H. Benes,Yardena Samuels,Emma Shanks,Eytan Ruppin +30 more
TL;DR: It is shown that cSLi can successfully predict patients’ drug treatment response and provide patient stratification signatures, and complements existing actionable mutation-based methods for precision cancer therapy, offering an opportunity to expand its scope to the whole genome.