- Home
- A-Z Publications
- Current Genomics
- Previous Issues
- Volume 21, Issue 1, 2020
Current Genomics - Volume 21, Issue 1, 2020
Volume 21, Issue 1, 2020
-
-
A Mini-review of the Computational Methods Used in Identifying RNA 5-Methylcytosine Sites
Authors: Jianwei Li, Yan Huang and Yuan ZhouRNA 5-methylcytosine (m5C) is one of the pillars of post-transcriptional modification (PTCM). A growing body of evidence suggests that m5C plays a vital role in RNA metabolism. Accurate localization of RNA m5C sites in tissue cells is the premise and basis for the in-depth understanding of the functions of m5C. However, the main experimental methods of detecting m5C sites are limited to varying degrees. Establishing a compu Read More
-
-
-
A Brief Survey for MicroRNA Precursor Identification Using Machine Learning Methods
Authors: Zheng-Xing Guan, Shi-Hao Li, Zi-Mei Zhang, Dan Zhang, Hui Yang and Hui DingMicroRNAs, a group of short non-coding RNA molecules, could regulate gene expression. Many diseases are associated with abnormal expression of miRNAs. Therefore, accurate identification of miRNA precursors is necessary. In the past 10 years, experimental methods, comparative genomics methods, and artificial intelligence methods have been used to identify pre-miRNAs. However, experimental methods and co Read More
-
-
-
Extremely-randomized-tree-based Prediction of N6-Methyladenosine Sites in Saccharomyces cerevisiae
More LessIntroduction: N6-methyladenosine (m6A) is one of the most common post-transcriptional modifications in RNA, which has been related to several biological processes. The accurate prediction of m6A sites from RNA sequences is one of the challenging tasks in computational biology. Several computational methods utilizing machine-learning algorithms have been proposed that accelerate in silico screening of m6A sites, there Read More
-
-
-
DNA Methylation and Bladder Cancer: Where Genotype does not Predict Phenotype
Authors: Amit Sharma, Heiko Reutter and Jörg EllingerNearly three decades ago, the association between Bladder cancer (BC) and DNA methylation has initially been reported. Indeed, in the recent years, the mechanism connecting these two has gained deeper insights. Still, the mediocre performance of DNA methylation markers in the clinics raises the major concern. Strikingly, whether it is the inter-individual methylation variations or the paucity of knowledge about methylati Read More
-
-
-
Novel Approaches to Profile Functional Long Noncoding RNAs Associated with Stem Cell Pluripotency
More LessThe pluripotent state of stem cells depends on the complicated network orchestrated by thousands of factors and genes. Long noncoding RNAs (lncRNAs) are a class of RNA longer than 200 nt without a protein-coding function. Single-cell sequencing studies have identified hundreds of lncRNAs with dynamic changes in somatic cell reprogramming. Accumulating evidence suggests that they participate in the initiation of Read More
-
-
-
Exosomal miR-1298 and lncRNA-RP11-583F2.2 Expression in Hepatocellular Carcinoma
Aim: The aim of this study was to explore the expression of exosomal non-coding RNAs (ncRNAs) in the sera of patients with HCC versus control. Methods: Firstly, Bioinformatics analysis was conducted to retrieve ncRNAs specific to HCC (hsamiRNA- 1298 and lncRNA-RP11-583F2.2). Afterwards, extraction and characterization of exosomes were performed. We measured the expression of the chosen exosomal RNAs b Read More
-
-
-
The Experimentally Obtained Functional Impact Assessments of 5' Splice Site GT>GC Variants Differ Markedly from Those Predicted
Authors: Jian-Min Chen, Jin-Huan Lin, Emmanuelle Masson, Zhuan Liao, Claude Férec, David N. Cooper and Matthew HaydenIntroduction: 5' splice site GT>GC or +2T>C variants have been frequently reported to cause human genetic disease and are routinely scored as pathogenic splicing mutations. However, we have recently demonstrated that such variants in human disease genes may not invariably be pathogenic. Moreover, we found that no splicing prediction tools appear to be capable of reliably distinguishing those +2T>C variants th Read More
-
-
-
WITMSG: Large-scale Prediction of Human Intronic m6A RNA Methylation Sites from Sequence and Genomic Features
Authors: Lian Liu, Xiujuan Lei, Jia Meng and Zhen WeiIntroduction: N6-methyladenosine (m6A) is one of the most widely studied epigenetic modifications. It plays important roles in various biological processes, such as splicing, RNA localization and degradation, many of which are related to the functions of introns. Although a number of computational approaches have been proposed to predict the m6A sites in different species, none of them were optimized for intronic Read More
-
Volumes & issues
-
Volume 26 (2025)
-
Volume 25 (2024)
-
Volume 24 (2023)
-
Volume 23 (2022)
-
Volume 22 (2021)
-
Volume 21 (2020)
-
Volume 20 (2019)
-
Volume 19 (2018)
-
Volume 18 (2017)
-
Volume 17 (2016)
-
Volume 16 (2015)
-
Volume 15 (2014)
-
Volume 14 (2013)
-
Volume 13 (2012)
-
Volume 12 (2011)
-
Volume 11 (2010)
-
Volume 10 (2009)
-
Volume 9 (2008)
-
Volume 8 (2007)
-
Volume 7 (2006)
-
Volume 6 (2005)
-
Volume 5 (2004)
-
Volume 4 (2003)
-
Volume 3 (2002)
-
Volume 2 (2001)
-
Volume 1 (2000)
Most Read This Month
Article
content/journals/cg
Journal
10
5
false
en
