Literature DB >> 19850756

Ancestors 1.0: a web server for ancestral sequence reconstruction.

Abdoulaye Banire Diallo1, Vladimir Makarenkov, Mathieu Blanchette.   

Abstract

SUMMARY: The computational inference of ancestral genomes consists of five difficult steps: identifying syntenic regions, inferring ancestral arrangement of syntenic regions, aligning multiple sequences, reconstructing the insertion and deletion history and finally inferring substitutions. Each of these steps have received lot of attention in the past years. However, there currently exists no framework that integrates all of the different steps in an easy workflow. Here, we introduce Ancestors 1.0, a web server allowing one to easily and quickly perform the last three steps of the ancestral genome reconstruction procedure. It implements several alignment algorithms, an indel maximum likelihood solver and a context-dependent maximum likelihood substitution inference algorithm. The results presented by the server include the posterior probabilities for the last two steps of the ancestral genome reconstruction and the expected error rate of each ancestral base prediction. AVAILABILITY: The Ancestors 1.0 is available at http://ancestors.bioinfo.uqam.ca/ancestorWeb/.

Mesh:

Year:  2009        PMID: 19850756     DOI: 10.1093/bioinformatics/btp600

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

1.  Comparative analysis of the primate X-inactivation center region and reconstruction of the ancestral primate XIST locus.

Authors:  Julie E Horvath; Christina B Sheedy; Stephanie L Merrett; Abdoulaye Banire Diallo; David L Swofford; Eric D Green; Huntington F Willard
Journal:  Genome Res       Date:  2011-04-25       Impact factor: 9.043

2.  A novel test for selection on cis-regulatory elements reveals positive and negative selection acting on mammalian transcriptional enhancers.

Authors:  Justin D Smith; Kimberly F McManus; Hunter B Fraser
Journal:  Mol Biol Evol       Date:  2013-07-30       Impact factor: 16.240

3.  Neutral evolution of robustness in Drosophila microRNA precursors.

Authors:  Nicholas Price; Reed A Cartwright; Niv Sabath; Dan Graur; Ricardo B R Azevedo
Journal:  Mol Biol Evol       Date:  2011-01-31       Impact factor: 16.240

4.  Prediction of human miRNA target genes using computationally reconstructed ancestral mammalian sequences.

Authors:  Mickael Leclercq; Abdoulaye Baniré Diallo; Mathieu Blanchette
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

5.  FireProtASR: A Web Server for Fully Automated Ancestral Sequence Reconstruction.

Authors:  Milos Musil; Rayyan Tariq Khan; Andy Beier; Jan Stourac; Hannes Konegger; Jiri Damborsky; David Bednar
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

6.  Characterization of a putative ancestor of coxsackievirus B5.

Authors:  Maria Gullberg; Conny Tolf; Nina Jonsson; Mick N Mulders; Carita Savolainen-Kopra; Tapani Hovi; Marc Van Ranst; Philippe Lemey; Susan Hafenstein; A Michael Lindberg
Journal:  J Virol       Date:  2010-07-14       Impact factor: 5.103

7.  An evaluation of phylogenetic methods for reconstructing transmitted HIV variants using longitudinal clonal HIV sequence data.

Authors:  Rosemary M McCloskey; Richard H Liang; P Richard Harrigan; Zabrina L Brumme; Art F Y Poon
Journal:  J Virol       Date:  2014-03-19       Impact factor: 5.103

8.  maxAlike: maximum likelihood-based sequence reconstruction with application to improved primer design for unknown sequences.

Authors:  Peter Menzel; Peter F Stadler; Jan Gorodkin
Journal:  Bioinformatics       Date:  2010-12-01       Impact factor: 6.937

9.  Comparative genomics of neuroglobin reveals its early origins.

Authors:  Jasmin Dröge; Amit Pande; Ella W Englander; Wojciech Makałowski
Journal:  PLoS One       Date:  2012-10-25       Impact factor: 3.240

10.  Exploiting ancestral mammalian genomes for the prediction of human transcription factor binding sites.

Authors:  Mathieu Blanchette
Journal:  BMC Bioinformatics       Date:  2012-12-19       Impact factor: 3.169

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