14 papers · ranked by Valyu relevance
Peijian Cao, Ki-Hong Jung, Daeseok Choi, Daehee Hwang + 2 more
'Pamela C Ronald'] Background Microarray technologies facilitate high-throughput gene expression analysis. However, the diversity of platforms for rice gene expression analysis hinders efficient analysis. Tools to broadly integrate microarray data from different platforms are needed. Results In this study, we developed…
Ming Zhang, Yudong Zhang, Li Liu, Lijuan Yu + 6 more
'Jing Tan' 'Wenhua Yao' 'Manjit S Kang' 'Yongqiang An' 'Xingming Fan'] Background In the last decade, a large amount of microarray gene expression data has been accumulated in public repositories. Integrating and analyzing high-throughput gene expression data have become key activities for exploring gene functions…
Samuel Bharti, Nikita Krishnan, Arian Veyssi, Maryam Momeni + 1 more
Microarray data enables biologists to extract differentially expressed genes (DEGs) across multiple phenotypes. While several pipelines and tools exist to perform microarray data analysis, they are targeted to users with moderate to advanced computational understanding and lack an easy-to-use, interactive and dynamic…
Miroslav Blumenberg
Recent years witnessed the birth of bioinformatics technologies, which greatly advanced biological research. These ‘omics’ technologies address comprehensively the entire genome, transcriptome, proteome, microbiome etc. A large impetus in development of bioinformatics was the introduction of DNA microarrays for…
Luca Visentin, Luca Munaron, Federico Alessandro Ruffinatti
Tens of thousands of gene expression data sets describing a variety of model organisms in a many different pathophysiological conditions are currently stored in publicly available databases such as Gene Expression Omnibus (GEO) and ArrayExpress. As microarray technology is giving way to RNA-Seq, it becomes strategic to…
Yuerong Zhu, Yuelin Zhu, Wei Xu
Background Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most microarray programs require users to have sophisticated knowledge of mathematics, statistics and computer skills for usage. With accumulating…
Markus Weniger, Julia C Engelmann, Jörg Schultz
Background Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be used to measure the expression level of thousands of mRNAs at the same time, allowing insight into or comparison of different cellular…
Greg Gibson
Microarrays can survey genome-wide expression patterns. Not only can these gene expression profiles be used to identify a few genes of interest, they are now being creatively applied for hypothesis generation and testing
Pratik Jaluria, Konstantinos Konstantopoulos, Michael Betenbaugh, Joseph Shiloach
'Joseph Shiloach'] With advances in robotics, computational capabilities, and the fabrication of high quality glass slides coinciding with increased genomic information being available on public databases, microarray technology is increasingly being used in laboratories around the world. In fact, fields as varied as…
Dmytro Fishman, Ivan Kuzmin, Priit Adler, Jaak Vilo + 1 more
Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner. Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming skills. The typical data analysis…
Keegan Flanagan, Steven Pelech, Yossef Av-Gay, Khanh Dao Duc
Analysis of signal transduction pathways relies on monitoring global changes in cellular response to perturbation or genetic manipulation. Antibody microarray data provides an increasingly viable tool for the monitoring and analyzing high throughput expression and protein phosphorylation data. However, computational…
Ernur Saka, Benjamin J. Harrison, Kirk West, Jeffrey C. Petruska + 1 more
Since the introduction of microarrays in 1995, researchers world-wide have used both commercial and custom-designed microarrays for understanding differential expression of transcribed genes. Public databases such as ArrayExpress and the Gene Expression Omnibus (GEO) have made millions of samples readily available. One…
Alina Frolova, Vladyslav Bondarenko, Maria Obolenska
According to major public repositories statistics an overwhelming majority of the existing and newly uploaded data originates from microarray experiments. Unfortunately, the potential of this data to bring new insights is limited by the effects of individual study-specific biases due to small number of biological…
Nathaniel Lim, Stepan Tesar, Manuel Belmadani, Guillaume Poirier-Morency + 6 more
Vast amounts of transcriptomic data reside in public repositories, but effective reuse remains challenging. Issues include unstructured dataset metadata, inconsistent data processing and quality control, and inconsistent probe-gene mappings across microarray technologies. Thus, extensive curation and data reprocessing…