Results 101 to 110 of about 9,911,867 (381)
Intron length distributions and gene prediction [PDF]
Nucleic Acids Research, 2007 Accurate gene prediction in eukaryotes is a difficult and subtle problem. Here we point out a useful feature of expected distributions of spliceosomal intron lengths. Since introns are removed from transcripts prior to translation, intron lengths are not expected to respect coding frame, thus the number of genomic introns that are a multiple of three ...
Scott William Roy, David Penny
openaire +3 more sources
Literature-based priors for gene regulatory networks [PDF]
, 2009 Motivation: The use of prior knowledge to improve gene regulatory network modelling has often been proposed. In this paper we present the first research on the massive incorporation of prior knowledge from literature for Bayesian network learning of gene
't Hoen, PAC +3 more
core +2 more sources
FEBS Letters, EarlyView.Phytohormone brassinosteroid‐induced gene regulation by the transcription factor BIL1/BZR1 involves redox‐dependent DNA‐binding alternation and interaction with the transcription factor PIF4. The reduced BIL1/BZR1 dimer binds preferred cis‐elements, while oxidation alters its oligomerization state and disrupts DNA‐binding ability.
Shohei Nosaki +4 more
wiley +1 more source
Microarray-Based Cancer Prediction Using Soft Computing Approach
Cancer Informatics, 2009 One of the difficulties in using gene expression profiles to predict cancer is how to effectively select a few informative genes to construct accurate prediction models from thousands or ten thousands of genes.
Xiaosheng Wang, Osamu Gotoh
doaj +2 more sources
Feature selection for gene prediction in metagenomic fragments
BioData Mining, 2018 Computational approaches, specifically machine-learning techniques, play an important role in many metagenomic analysis algorithms, such as gene prediction.
Amani A. Al-Ajlan, Achraf El Allali
semanticscholar +1 more source
VIRGO: computational prediction of gene functions [PDF]
Nucleic Acids Research, 2006 Dramatic advances in sequencing technology and sophisticated experimental assays that interrogate the cell, combined with the public availability of the resulting data, herald the era of systems biology. However, the biological functions of more than 40% of the genes in sequenced genomes are unknown, posing a fundamental barrier to progress in systems ...
Corban G. Rivera +2 more
openaire +3 more sources
A working model for cytoplasmic assembly of H/ACA snoRNPs
FEBS Letters, EarlyView.Dyskerin is the component of nuclear H/ACA ribonucleoproteins (RNPs) endowed with pseudouridine synthase catalytic activity. Two isoforms of human dyskerin have been characterized: the abundant Iso1, mainly nuclear, and the shorter Iso3, mainly cytoplasmic but occasionally imported into nuclei.
Alberto Angrisani, Maria Furia
wiley +1 more source
PLoS ONE, 2022 In recent years, drug sensitivity prediction has garnered a great deal of attention due to the growing interest in precision medicine. Several computational methods have been developed for drug sensitivity prediction and the identification of related ...
Heewon Park +3 more
doaj +1 more source
FEBS Letters, EarlyView.Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
BMC Bioinformatics, 2017 Background Accurate structural annotation depends on well-trained gene prediction programs. Training data for gene prediction programs are often chosen randomly from a subset of high-quality genes that ideally represent the variation found within a ...
Megan J. Bowman +3 more
doaj +1 more source