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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...

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Related Experiment Video

Updated: Jun 2, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

PicXAA-Web: a web-based platform for non-progressive maximum expected accuracy alignment of multiple biological

Sayed Mohammad Ebrahim Sahraeian1, Byung-Jun Yoon

  • 1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.

Nucleic Acids Research
|April 26, 2011
PubMed
Summary

PicXAA-Web offers accurate probabilistic alignment for multiple biological sequences, including protein, DNA, and RNA. This web platform enhances sequence analysis by maximizing expected accuracy through novel alignment algorithms.

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Last Updated: Jun 2, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
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Published on: July 12, 2022

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12:00

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Accurate multiple sequence alignment is crucial for understanding biological sequence relationships.
  • Existing alignment methods may not optimally capture complex similarities across diverse sequence types.

Purpose of the Study:

  • To introduce PicXAA-Web, a novel web-based platform for probabilistic alignment of multiple biological sequences.
  • To provide a user-friendly interface for analyzing protein, DNA, and RNA sequences.

Main Methods:

  • Development of PicXAA, a non-progressive algorithm for multiple protein/DNA sequence alignment.
  • Extension of PicXAA to PicXAA-R for structural RNA sequence alignment.
  • Integration of PicXAA and PicXAA-R into the PicXAA-Web platform.

Main Results:

  • PicXAA and PicXAA-R achieve optimal alignment by maximizing expected accuracy.
  • The algorithms greedily identify regions of high local similarity to construct accurate global alignments.
  • PicXAA-Web provides accurate alignment and analysis capabilities for multiple sequence types.

Conclusions:

  • PicXAA-Web offers a significant advancement in biological sequence alignment tools.
  • The platform facilitates deeper insights into sequence relationships and functional analysis.
  • PicXAA-Web is freely accessible, promoting wider adoption in biological research.