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In this work, we carried out an overlay-aware variation study on Flip FET (FFET) considering the impact on RC parasitics induced by the lithography misalignment in backside processes, and benchmarked it with CFET in terms of the…

Mesoscale and Nanoscale Physics · Physics 2025-01-28 Wanyue Peng , Haoran Lu , Jingru Jiang , Jiacheng Sun , Ming Li , Runsheng Wang , Heng Wu , Ru Huang

Chromosomal rearrangements, which shuffle DNA throughout the genome, are an important source of divergence across taxa. Using a paired-end read approach with Illumina sequence data for archaic humans, I identify changes in genome structure…

Genomics · Quantitative Biology 2015-10-07 Rebekah L. Rogers

A blood cell lineage consists of several consecutive developmental stages from the pluripotent or multipotent stem cell to a particular stage of terminally differentiated cells. There is considerable interest in identifying the key…

Genomics · Quantitative Biology 2019-12-05 Maryam Nazarieh , Volkhard Helms

We present a theory of pattern formation in growing domains inspired by biological examples of tissue development. Gradients of signaling molecules regulate growth, while growth changes these graded chemical patterns by dilution and…

Understanding how transcription factors (TFs) regulate mammalian gene expression in space and time is a central topic in biology. To activate a gene, a TF has first to diffuse in the available space of the nucleus until it reaches a target…

Subcellular Processes · Quantitative Biology 2018-11-19 Maxime Woringer , Xavier Darzacq

Developmental constraints have been postulated to limit the space of feasible phenotypes and thus shape animal evolution. These constraints have been suggested to be the strongest during either early or mid-embryogenesis, which corresponds…

Populations and Evolution · Quantitative Biology 2013-03-14 Barbara Piasecka , Pawel Lichocki , Sebastien Moretti , Sven Bergmann , Marc Robinson-Rechavi

We present schema redescription as a methodology to characterize canalization in automata networks used to model biochemical regulation and signalling. In our formulation, canalization becomes synonymous with redundancy present in the logic…

Molecular Networks · Quantitative Biology 2013-02-04 Manuel Marques-Pita , Luis M. Rocha

Pediatric high grade gliomas are lethal evolutionary disorders with stalled developmental trajectories and disrupted differentiation hierarchies. We integrate transcriptional and algorithmic network complexity based perturbation analysis to…

Quantitative Methods · Quantitative Biology 2025-09-24 Abicumaran Uthamacumaran , Hector Zenil

Zak-transform based orthogonal time frequency space (Zak-OTFS) is a delay-Doppler (DD) domain modulation scheme in which the signal processing is carried out in the DD domain. The channel when viewed in the DD domain is predictable.…

Signal Processing · Electrical Eng. & Systems 2025-07-21 Sandesh Rao Mattu , Nishant Mehrotra , Robert Calderbank

Histone modification is a vital epigenetic mechanism for transcriptional control in eukaryotes. High-throughput techniques have enabled whole-genome analysis of histone modifications in recent years. However, most studies assume one…

Genomics · Quantitative Biology 2014-05-12 Mengjie Chen , Haifan Lin , Hongyu Zhao

A feed-forward loop (FFL) is a common gene-regulatory motif in which usually the upstream regulator is a protein, a transcription factor, that regulates the expression of the target protein in two parallel pathways. Here, we study a…

Molecular Networks · Quantitative Biology 2019-05-20 Swathi Tej , Kumar Gaurav , Sutapa Mukherji

To survive environmental conditions, cells transcribe their response activities into encoded mRNA sequences in order to produce certain amounts of protein concentrations. The external conditions are mapped into the cell through the…

Biological Physics · Physics 2017-10-26 Andrés F. López-Lopera , Mauricio A. Álvarez

Context: L-type ultra-cool dwarfs and brown dwarfs have cloudy atmospheres that could host weather-like phenomena. The detection of photometric or spectral variability would provide insight into unresolved atmospheric heterogeneities, such…

The family of TGFb ligands is large and its members are involved in many different signaling processes. These signaling processes strongly differ in type with TGFb ligands eliciting both sustained or transient responses. Members of the TGFb…

Molecular Networks · Quantitative Biology 2015-03-19 Geraldine Celliere , Georgios Fengos , Marianne Herve , Dagmar Iber

In multicellular organisms, patterns of gene expression are established in response to gradients of signaling molecules. During fly development in early Drosophila embryos, the Bicoid (Bcd) morphogen gradient is established within the first…

Quantitative Methods · Quantitative Biology 2010-12-13 Julien Dubuis , Alexander H Morrison , Martin Scheeler , Thomas Gregor

We investigate the dynamical properties of the transcriptional regulation of gene expression in the yeast Saccharomyces Cerevisiae within the framework of a synchronously and deterministically updated Boolean network model. By means of a…

Molecular Networks · Quantitative Biology 2015-05-13 Murat Tugrul , Alkan Kabakcioglu

(ABRIDGED) We report the genome sequencing of 139 wild-derived strains of D. melanogaster, representing 22 population samples from the sub-Saharan ancestral range of this species, along with one European population. Most genomes were…

A theory for qualitative models of gene regulatory networks has been developed over several decades, generally considering transcription factors to regulate directly the expression of other transcription factors, without any intermediate…

Classical Analysis and ODEs · Mathematics 2016-07-20 D. Hudson , R. Edwards

Despite significant progress in structural and functional characterization of human genome, understanding of mechanisms underlying the genetic basis of human phenotypic uniqueness remains limited. We report that non-randomly distributed…

Genomics · Quantitative Biology 2025-12-30 Gennadi Glinsky

A fundamental goal in neuroscience is to understand the relationship between neural activity and behavior. For example, the ability to extract behavioral intentions from neural data, or neural decoding, is critical for developing effective…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Semih Günel , Florian Aymanns , Sina Honari , Pavan Ramdya , Pascal Fua