The next generation of transcription factor binding site prediction
Finding where transcription factors (TFs) bind to the DNA is of key importance to decipher
gene regulation at a transcriptional level. Classically, computational prediction of TF binding …
gene regulation at a transcriptional level. Classically, computational prediction of TF binding …
Quantitative analysis demonstrates most transcription factors require only simple models of specificity
To the Editor: In his News Feature published in the February issue, Michael Eisenstein
outlines several alternative methods of drug delivery1 and discusses how several targets in …
outlines several alternative methods of drug delivery1 and discusses how several targets in …
[BOOK][B] Machine learning approaches to bioinformatics
ZR Yang - 2010 - books.google.com
1. Introduction. 1.1. Brief history of bioinformatics. 1.2. Database application in
bioinformatics. 1.3. Web tools and services for sequence homology alignment. 1.4. Pattern …
bioinformatics. 1.3. Web tools and services for sequence homology alignment. 1.4. Pattern …
Artificial neural networks trained to detect viral and phage structural proteins
V Seguritan, N Alves Jr, M Arnoult, A Raymond… - 2012 - journals.plos.org
Phages play critical roles in the survival and pathogenicity of their hosts, via lysogenic
conversion factors, and in nutrient redistribution, via cell lysis. Analyses of phage-and viral …
conversion factors, and in nutrient redistribution, via cell lysis. Analyses of phage-and viral …
TC-motifs at the TATA-box expected position in plant genes: a novel class of motifs involved in the transcription regulation
V Bernard, V Brunaud, A Lecharny - BMC genomics, 2010 - Springer
Background The TATA-box and TATA-variants are regulatory elements involved in the
formation of a transcription initiation complex. Both have been conserved throughout …
formation of a transcription initiation complex. Both have been conserved throughout …
[PDF][PDF] In vitro DNA-binding profile of transcription factors: methods and new insights
J Wang, J Lu, G Gu, Y Liu - Journal of endocrinology, 2011 - Citeseer
DNA binding specificity of transcription factor (TF) has broad impact on cell physiology and
development and in evolution. However, DNA-binding specificity of most known TFs still …
development and in evolution. However, DNA-binding specificity of most known TFs still …
PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites
Identification of transcription factor binding sites (TFBSs) is essential to understanding of
gene regulation. Designing computational models for accurate prediction of TFBSs is crucial …
gene regulation. Designing computational models for accurate prediction of TFBSs is crucial …
Protein kinase STK25 aggravates the severity of non-alcoholic fatty pancreas disease in mice
E Nuñez-Durán, B Chanclón, S Sütt… - Journal of …, 2017 - joe.bioscientifica.com
Overexpression of bovine growth hormone (bGH) in transgenic (PEPCK-bGH) mice induces
resistance to insulin, which is compensated by a major increase in insulin levels. In these …
resistance to insulin, which is compensated by a major increase in insulin levels. In these …
A map of cis-regulatory modules and constituent transcription factor binding sites in 80% of the mouse genome
Background Mouse is probably the most important model organism to study mammal
biology and human diseases. A better understanding of the mouse genome will help …
biology and human diseases. A better understanding of the mouse genome will help …
Statistical mechanics of transcription-factor binding site discovery using hidden markov models
Abstract Hidden Markov Models (HMMs) are a commonly used tool for inference of
transcription factor (TF) binding sites from DNA sequence data. We exploit the mathematical …
transcription factor (TF) binding sites from DNA sequence data. We exploit the mathematical …