All life depends on the reliable translation of RNA to protein according to complex interactions between translation machinery and RNA sequence features. While ribosomal occupancy and codon frequencies vary across coding regions, well-established metrics for computing coding potential of RNA do not capture such positional dependence. Here, we investigate position-dependent...
Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
Base-pairing interaction are the fundamental blocks of an RNA structure. With increased ability to determine the structure of RNA molecules, an accurate and informative way of classifying these interactions would help to study RNA structure at many levels. Apart from the well-known complementary base pairs and wobble pairs, other interactions...
Embryonic development, where organs and major structures begin to develop, requires precise coordination of numerous gene regulatory pathways. Fendrr is an long non-coding RNA (lncRNA) that plays a role in regulating gene expression in mesodermal tissues during early embryonic development in mouse. The lateral plate mesoderm (LPM) is an earlier...
Systems biology is a powerful approach which considers and sheds light on all of the puzzle pieces which make up complex biological processes, and is an effective alternative to unraveling these processes using traditional molecular approaches alone. It is a natural companion approach for computational biology, which leverages the power...
We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
Non-coding ribonucleic acid (ncRNA) is of interest for its diverse roles in cell and viral biology. RNA molecules vary greatly in terms of size, structure, and function. In recent years, the modification of existing RNA structures has been used for biochemical methods of enormous impact including CRISPR and RNAi methods....
MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Hop (Humulus lupulus L. var. lupulus) is a diploid, dioecious plant with an extensive history of cultivation and use in brewing, as a textile, and for its therapeutic properties. Hop is prized for its ability to produce a variety of aromatic and flavor compounds, as well as compounds with anti-microbial...