Results 51 to 60 of about 294,257 (261)

Efficient algorithms for probing the RNA mutation landscape. [PDF]

open access: yesPLoS Computational Biology, 2008
The diversity and importance of the role played by RNAs in the regulation and development of the cell are now well-known and well-documented. This broad range of functions is achieved through specific structures that have been (presumably) optimized ...
Jérôme Waldispühl   +3 more
doaj   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

open access: yesMolecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed   +10 more
wiley   +1 more source

Efficient motif finding algorithms for large-alphabet inputs

open access: yesBMC Bioinformatics, 2010
Background We consider the problem of identifying motifs, recurring or conserved patterns, in the biological sequence data sets. To solve this task, we present a new deterministic algorithm for finding patterns that are embedded as exact or inexact ...
Pavlovic Vladimir, Kuksa Pavel P
doaj   +1 more source

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

open access: yesMolecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto   +13 more
wiley   +1 more source

Efficient algorithms for inverting evolution [PDF]

open access: yesProceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96, 1996
Evolution can be mathematically modelled by a stochastic process that operates on the DNA of species. Such models are based on the established theory that the DNA sequences, or genomes, of all extant species have been derived from the genome of the common ancestor of all species by a process of random mutation and natural selection.
Farach, Martin, Kannan, Sampath
openaire   +1 more source

Cis‐regulatory and long noncoding RNA alterations in breast cancer – current insights, biomarker utility, and the critical need for functional validation

open access: yesMolecular Oncology, EarlyView.
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués   +3 more
wiley   +1 more source

Efficient Low-Contention Parallel Algorithms

open access: yesJournal of Computer and System Sciences, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gibbons, Phillip B.   +2 more
openaire   +1 more source

An Efficient Parallel Biconnectivity Algorithm [PDF]

open access: yesSIAM Journal on Computing, 1985
In this paper we propose a new algorithm for finding the blocks (biconnected components) of an undirected graph. A serial implementation runs in \(O(n+m)\) time and space on a graph of n vertices and m edges. A parallel implementation runs in O(log n) time and \(O(n+m)\) space using \(O(n+m)\) processors on a concurrent-read, concurrent-write parallel ...
Tarjan, Robert E., Vishkin, Uzi
openaire   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

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