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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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CentroidAlign-Web: A Fast and Accurate Multiple Aligner for Long Non-Coding RNAs.

Haruka Yonemoto1, Kiyoshi Asai, Michiaki Hamada

  • 1Department of Computational Biology, Graduate School of Frontier Sciences,the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8561, Japan. mhamada@k.u-tokyo.ac.jp.

International Journal of Molecular Sciences
|March 20, 2013
PubMed
Summary
This summary is machine-generated.

A new web server, CentroidAlign-Web, efficiently aligns long non-coding RNA (ncRNA) sequences, incorporating secondary structure information for accurate classification and motif discovery.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Non-coding RNAs (ncRNAs) play crucial roles in biological processes.
  • The function of ncRNAs is linked to both their nucleotide sequence and secondary structure.
  • Accurate multiple sequence alignment (MSA) is vital for ncRNA classification and motif identification.

Purpose of the Study:

  • To develop a fast and accurate web server for multiple sequence alignment (MSA) of long non-coding RNA (ncRNA) sequences.
  • To integrate secondary structure information into the MSA process for improved accuracy.
  • To address the computational challenges associated with aligning long RNA sequences with structural data.

Main Methods:

  • Development of the CentroidAlign-Web server.
  • Incorporation of known secondary structure information into the alignment algorithm.
  • Computational experiments to evaluate speed and accuracy for long RNA sequences.

Main Results:

  • CentroidAlign-Web demonstrates high speed and accuracy in aligning long ncRNA sequences.
  • The server effectively utilizes secondary structure information in the MSA process.
  • Experimental results confirm the web server's capability to handle computationally intensive tasks.

Conclusions:

  • CentroidAlign-Web provides an efficient solution for aligning long ncRNAs, considering secondary structures.
  • The tool facilitates ncRNA classification and functional motif discovery.
  • The web server is freely available, supporting broader research in ncRNA bioinformatics.