The simulation experiment description markup language (SED-ML): language specification for level 1 version 4 [0.03%]
模拟实验描述标记语言（SED-ML）：第1版第4次修订的语言规范
Lucian P Smith,Frank T Bergmann,Alan Garny et al.
Lucian P Smith et al.
Computational simulation experiments increasingly inform modern biological research, and bring with them the need to provide ways to annotate, archive, share and reproduce the experiments performed. These simulations increasingly require ex...
Franziska Reinhardt,Peter F Stadler
Franziska Reinhardt
Spliced alignments are a key step in the construction of high-quality homology-based annotations of protein sequences. The exon/intron structure, which is computed as part of spliced alignment procedures, often conveys important information...
A systematic study of motif pairs that may facilitate enhancer-promoter interactions [0.03%]
系统研究可能促进增强子-启动子相互作用的基序对
Saidi Wang,Haiyan Hu,Xiaoman Li
Saidi Wang
Pairs of interacting transcription factors (TFs) have previously been shown to bind to enhancers and promoters and contribute to their physical interactions. However, to date, we have limited knowledge about such TF pairs. To fill this void...
Balázs Szalkai,Vince Grolmusz
Balázs Szalkai
The analysis of enormous datasets with missing data entries is a standard task in biological and medical data processing. Large-scale, multi-institution clinical studies are the typical examples of such datasets. These sets make possible th...
Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data [0.03%]
基于ChIP-seq数据的模式植物基因组中多个转录因子结合位点的统计估计方法研究
Arthur I Dergilev,Nina G Orlova,Oxana B Dobrovolskaya et al.
Arthur I Dergilev et al.
The development of high-throughput genomic sequencing coupled with chromatin immunoprecipitation technologies allows studying the binding sites of the protein transcription factors (TF) in the genome scale. The growth of data volume on the ...
Predicting the possible effect of miR-203a-3p and miR-29a-3p on DNMT3B and GAS7 genes expression [0.03%]
miR-203a-3p和miR-29a-3p可能影响DNMT3B和GAS7基因表达的预测分析研究
Afgar Ali,Sattarzadeh Bardsiri Mahla,Vahidi Reza et al.
Afgar Ali et al.
Aberrant expression of genes involved in methylation, including DNA methyltransferase 3 Beta (DNMT3B), can cause hypermethylation of various tumor suppressor genes. In this regard, various molecular factors such as microRNAs can play a crit...
Special Issue of the 1st International Applied Bioinformatics Conference (iABC'21) [0.03%]
第1届国际应用生物信息学会议(iABC'21)特刊
Jens Allmer,Mourad Elloumi,Matteo Comin et al.
Jens Allmer et al.
Modular network inference between miRNA-mRNA expression profiles using weighted co-expression network analysis [0.03%]
使用加权共表达网络分析在miRNA-mRNA表达谱之间进行模块化网络推断
Nisar Wani,Debmalya Barh,Khalid Raza
Nisar Wani
Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for...
Disparity-filtered differential correlation network analysis: a case study on CRC metabolomics [0.03%]
差异过滤的差异相关网络分析：一项关于CRC代谢组学的研究案例
Silvia Sabatini,Amalia Gastaldelli
Silvia Sabatini
Differential network analysis has become a widely used technique to investigate changes of interactions among different conditions. Although the relationship between observed interactions and biochemical mechanisms is hard to establish, dif...
In silico approach to understand epigenetics of POTEE in ovarian cancer [0.03%]
利用计算机模拟理解卵巢癌中POTEE的表观遗传学
Sahar Qazi,Khalid Raza
Sahar Qazi
Ovarian cancer is the third leading cause of cancer-related deaths in India. Epigenetics mechanisms seemingly plays an important role in ovarian cancer. This paper highlights the crucial epigenetic changes that occur in POTEE that get hypom...