Sequence clustering in bioinformatics: an empirical study
Sequence clustering is a basic bioinformatics task that is attracting renewed attention with
the development of metagenomics and microbiomics. The latest sequencing techniques …
the development of metagenomics and microbiomics. The latest sequencing techniques …
Co-expression networks for plant biology: why and how
X Rao, RA Dixon - Acta biochimica et biophysica Sinica, 2019 - academic.oup.com
Co-expression network analysis is one of the most powerful approaches for interpretation of
large transcriptomic datasets. It enables characterization of modules of co-expressed genes …
large transcriptomic datasets. It enables characterization of modules of co-expressed genes …
iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data
Background RNA-seq is widely used for transcriptomic profiling, but the bioinformatics
analysis of resultant data can be time-consuming and challenging, especially for biologists …
analysis of resultant data can be time-consuming and challenging, especially for biologists …
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
Motivation As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) is
recently shown to play crucial roles in restriction–modification systems. For better …
recently shown to play crucial roles in restriction–modification systems. For better …
It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data
J ** functional networks of long or circular forms of noncoding RNAs
Background Despite their lack of protein-coding potential, long noncoding RNAs (lncRNAs)
and circular RNAs (circRNAs) have emerged as key determinants in gene regulation, acting …
and circular RNAs (circRNAs) have emerged as key determinants in gene regulation, acting …