FASMA: A Service to Format and Analyze Sequences in Multiple Alignments

FASMA: A Service to Format and Analyze Sequences in Multiple Alignments

Multiple sequence alignments are successfully applied in many studies for under- standing the structural and functional relations among single nucleic acids and protein sequences as well as whole families. Because of the rapid growth of sequence databases, multiple sequence alignments can often be very large and difficult to visualize and analyze. We offer a new service aimed to visualize and a...

ALSCRIPT: a tool to format multiple sequence alignments.

Probabilistic Ancestral Sequences and Multiple Alignments

An evolutionary configuration (EC) is a set of aligned sequences of characters (possibly representing amino acids, DNA, RNA or natural language). We define the probability of an EC, based on a given phylogenetic tree and give an algorithm to compute this probability efficiently. From these probabilities, we can compute the most likely sequence at any place in the phylogenetic tree, or its proba...

A computational method to analyze the similarity of biological sequences under uncertainty

In this paper, we propose a new method to analyze the difference and similarity of biological sequences, based on the fuzzy sets theory. Considering the sequence order and some chemical and structural properties, we present a computational method to cluster the biological sequences. By some examples, we show that the new method is relatively easy and we are able to compare the sequences of arbi...

3DCoffee: combining protein sequences and structures within multiple sequence alignments.

Most bioinformatics analyses require the assembly of a multiple sequence alignment. It has long been suspected that structural information can help to improve the quality of these alignments, yet the effect of combining sequences and structures has not been evaluated systematically. We developed 3DCoffee, a novel method for combining protein sequences and structures in order to generate high-qu...