Results 11 to 20 of about 3,346,579 (352)

RNA Sequencing and Analysis [PDF]

Cold Spring Harbor Protocols, 2015
RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing- and microarray-based methods, RNA-Seq provides far higher coverage and greater resolution of the dynamic nature of the transcriptome.
Kimberly R. Kukurba, Stephen B. Montgomery   +1 more
openaire   +3 more sources

Representation learning applications in biological sequence analysis

bioRxiv, 2021
Remarkable advances in high-throughput sequencing have resulted in rapid data accumulation, and analyzing biological (DNA/RNA/protein) sequences to discover new insights in biology has become more critical and challenging.
Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, Natsuki Iwano, Shunsuke Sumi, S. Hosoda, Shitao Zhao, Tsukasa Fukunaga, Michiaki Hamada   +8 more
semanticscholar   +1 more source

Computational Analysis of RNA Nucleotide Sequences [PDF]

International Journal of Trend in Scientific Research and Development, 2019
One of the most fascinating and deeply researched fields of all of the biochemical components are the nucleic acids and proteins, especially because of their dynamic structure and function and their fundamental role in the course of evolution. Sequence studies have been carried out and is still being researched on to decode completely the world of ...
Shall Juneja, Deepayan Mukherjee, Sachi Garg   +2 more
openaire   +1 more source

Development of strategies for SNP detection in RNA-seq data: application to lymphoblastoid cell lines and evaluation using 1000 Genomes data. [PDF]

PLoS ONE, 2013
Next-generation RNA sequencing (RNA-seq) maps and analyzes transcriptomes and generates data on sequence variation in expressed genes. There are few reported studies on analysis strategies to maximize the yield of quality RNA-seq SNP data.
Emma M Quinn, Paul Cormican, Elaine M Kenny, Matthew Hill, Richard Anney, Michael Gill, Aiden P Corvin, Derek W Morris   +7 more
doaj   +1 more source

Structural Alignment and Covariation Analysis of RNA Sequences [PDF]

BIO-PROTOCOL, 2020
RNA molecules adopt defined structural conformations that are essential to exert their function. During the course of evolution, the structure of a given RNA can be maintained via compensatory base-pair changes that occur among covarying nucleotides in paired regions.
Nicolas J. Tourasse, Fabien Darfeuille
openaire   +4 more sources

iPseU-TWSVM: Identification of RNA pseudouridine sites based on TWSVM

Mathematical Biosciences and Engineering, 2022
Biological sequence analysis is an important basic research work in the field of bioinformatics. With the explosive growth of data, machine learning methods play an increasingly important role in biological sequence analysis. By constructing a classifier
Mingshuai Chen, Xin Zhang , Ying Ju, Qing Liu, Yijie Ding   +4 more
doaj   +1 more source

RNA Sequencing Analysis of Salivary Extracellular RNA [PDF]

, 2016
Salivary biomarkers for disease detection, diagnostic and prognostic assessments have become increasingly well established in recent years. In this chapter we explain the current leading technology that has been used to characterize salivary non-coding RNAs (ncRNAs) from the extracellular RNA (exRNA) fraction: HiSeq from Illumina® platform for RNA ...
Majem, Blanca, Li, Feng, Sun, Jie, Wong, David TW   +3 more
openaire   +6 more sources

Deciphering the RRM-RNA recognition code: A computational analysis.

PLoS Computational Biology, 2023
RNA recognition motifs (RRM) are the most prevalent class of RNA binding domains in eucaryotes. Their RNA binding preferences have been investigated for almost two decades, and even though some RRM domains are now very well described, their RNA ...
Joel Roca-Martínez, Hrishikesh Dhondge, Michael Sattler, Wim F Vranken   +3 more
doaj   +1 more source

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC)

IEEE Access, 2021
Small non-coding RNAs (ncRNAs) are attracting increasing attention as they are now considered potentially valuable resources in the development of new drugs intended to cure several human diseases.
Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, Johan Trygg, Andreas Dengel, Sheraz Ahmed   +5 more
doaj   +1 more source

SePIA: RNA and small RNA sequence processing, integration, and analysis [PDF]

BioData Mining, 2016
Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data is needed.
Icay, Katherine, Chen, Ping, Cervera Taboada, Alejandra, Rantanen, Ville, Lehtonen, Rainer, Hautaniemi, Sampsa   +5 more
openaire   +4 more sources