Results 131 to 140 of about 9,911,867 (381)

CodingQuarry: highly accurate hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts

BMC Genomics, 2015
The impact of gene annotation quality on functional and comparative genomics makes gene prediction an important process, particularly in non-model species, including many fungi. Sets of homologous protein sequences are rarely complete with respect to the
Alison C. Testa, James K. Hane, S. Ellwood, R. Oliver   +3 more
semanticscholar   +1 more source

Predicting Gene Function using Predictive Clustering Trees [PDF]

, 2010
In this chapter, we show how the predictive clustering tree framework can be used to predict the functions of genes. The gene function prediction task is an example of a hierarchical multi-label classification (HMC) task: genes may have multiple functions and these functions are organized in a hierarchy. The hierarchy of functions can be such that each
Vens, Celine, Schietgat, Leander, Struyf, Jan, Blockeel, Hendrik, Kocev, Dragi, Dzeroski, Saso   +5 more
openaire   +2 more sources

Information flow and optimization in transcriptional control

, 2007
In the simplest view of transcriptional regulation, the expression of a gene is turned on or off by changes in the concentration of a transcription factor (TF).
Brenner, C. G. Callan, Detwiler, Driever, Driever, Elowitz, G. Tkacik, Golding, Gregor, Gregor, Jacob, Ozbudak, Pedraza, Rivera-Pomar, Rosenfeld, Simpson-Brose, Struhl, W. Bialek, Wolpert   +18 more
core   +2 more sources

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

FEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur, Brian Acquaviva, Baylee A. Smith, Nathan Walker, Isabella Walter, Matthew L. Wohlever   +5 more
wiley   +1 more source

Marker Haplotype Construction for the Hybrid Necrosis Gene Ne2 and Its Distribution in Old and New Wheat Varieties

Crops
Hybrid necrosis in wheat is caused by an interaction between two genes, Ne1 and Ne2, that triggers the gradual death of plant tissue. This trait affects wheat breeding as the gene Ne2 is the same as the gene Lr13 for leaf rust resistance. We have built a
Volker Mohler, Adalbert Bund, Lorenz Hartl, Theresa Albrecht   +3 more
doaj   +1 more source

Exploiting single-molecule transcript sequencing for eukaryotic gene prediction

Genome Biology, 2015
We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames.
A. Minoche, J. C. Dohm, J. Schneider, Daniela Holtgräwe, Prisca Viehöver, Magda Montfort, T. Rosleff Sörensen, B. Weisshaar, H. Himmelbauer   +8 more
semanticscholar   +1 more source

Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

Environmental Microbiome, 2020
Sequencing of 16S rRNA genes has become a powerful technique to study microbial communities and their responses towards changing environmental conditions in various ecosystems.
F. Wemheuer, Jessica A. Taylor, R. Daniel, E. Johnston, P. Meinicke, T. Thomas, B. Wemheuer   +6 more
semanticscholar   +1 more source

The role of gene–gene interaction in the prediction of criminal behavior

Comprehensive Psychiatry, 2014
A host of research has examined the possibility that environmental risk factors might condition the influence of genes on various outcomes. Less research, however, has been aimed at exploring the possibility that genetic factors might interact to impact the emergence of human traits.
J. C. Barnes, Kevin M. Beaver, Danielle Boisvert, Scott Menard, Todd A. Armstrong, Brian B. Boutwell   +5 more
openaire   +3 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Ontology-based disease similarity network for disease gene prediction

Vietnam Journal of Computer Science, 2016
Finding underlying molecular mechanisms of diseases is one of the important issues in biomedical research. In which, prediction of novel disease-associated genes is mostly focused.
Duc-Hau Le, Vu-Tung Dang
semanticscholar   +1 more source