Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Formation of the 3′ end of a eukaryotic mRNA is a key step in the production of a mature
transcript. This process is mediated by a number of protein factors that cleave the pre …

Chromatin regulators have become attractive targets for cancer therapy, but it is unclear why
inhibition of these ubiquitous regulators should have gene-specific effects in tumor cells …

Despite the ubiquity of textual data, so far few researchers have applied text mining to
answer organizational research questions. Text mining, which essentially entails a …

Long non-protein-coding RNAs (lncRNAs) are proposed to be the largest transcript class in
the mouse and human transcriptomes. Two important questions are whether all lncRNAs are …

Mammalian imprinted genes often cluster with long noncoding (lnc) RNAs. Three lncRNAs
that induce parental-specific silencing show hallmarks indicating that their transcription is …

Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly
because of its great number of applications and the scientific challenge it poses …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

Phages express anti-CRISPR (Acr) proteins to inhibit CRISPR-Cas systems that would
otherwise destroy their genomes. Most acr genes are located adjacent to anti-CRISPR …

As it is well known, messenger RNA has many regulatory regions along its sequence length.
One of them is the 5′ untranslated region (5'UTR), which itself contains many regulatory …