AVID: A Global Alignment Program
TL;DR: A new global alignment method called AVID is described, designed to be fast, memory efficient, and practical for sequence alignments of large genomic regions up to megabases long, and a format is established for the representation of alignments and methods for their comparison.
read more
Abstract: In this paper we describe a new global alignment method called AVID. The method is designed to be fast, memory efficient, and practical for sequence alignments of large genomic regions up to megabases long. We present numerous applications of the method, ranging from the comparison of assemblies to alignment of large syntenic genomic regions and whole genome human/mouse alignments. We have also performed a quantitative comparison of AVID with other popular alignment tools. To this end, we have established a format for the representation of alignments and methods for their comparison. These formats and methods should be useful for future studies. The tools we have developed for the alignment comparisons, as well as the AVID program, are publicly available. See Web Site References section for AVID Web address and Web addresses for other programs discussed in this paper.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Versatile and open software for comparing large genomes
Stefan Kurtz,Adam M. Phillippy,Arthur L. Delcher,Michael E. Smoot,Martin Shumway,Corina Antonescu,Steven L. Salzberg +6 more
TL;DR: The newest version of MUMmer easily handles comparisons of large eukaryotic genomes at varying evolutionary distances, as demonstrated by applications to multiple genomes.
Mauve: multiple alignment of conserved genomic sequence with rearrangements.
TL;DR: This work presents methods for identification and alignment of conserved genomic DNA in the presence of rearrangements and horizontal transfer and evaluated the quality of Mauve alignments and drawn comparison to other methods through extensive simulations of genome evolution.
Human MicroRNA Targets
Bino John,Anton J. Enright,Anton J. Enright,Alexei A. Aravin,Thomas Tuschl,Chris Sander,Debora S. Marks +6 more
TL;DR: This work has predicted target sites on the 3′ untranslated regions of human gene transcripts for all currently known 218 mammalian miRNAs to facilitate focused experiments and suggests that miRNA genes, which are about 1% of all human genes, regulate protein production for 10% or more of allhuman genes.
MicroRNA targets in Drosophila
TL;DR: The results reaffirm the thesis that miRNAs have an important role in establishing the complex spatial and temporal patterns of gene activity necessary for the orderly progression of development and suggest additional roles in the function of the mature organism.
VISTA: computational tools for comparative genomics
TL;DR: The VISTA family of tools created to assist biologists in carrying out comparative analysis of DNA sequences is described and capabilities of the site are illustrated by the analysis of a 180 kb interval on human chromosome 5 that encodes for the kinesin family member 3A (KIF3A) protein.
References
Basic Local Alignment Search Tool
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
98.8K
A general method applicable to the search for similarities in the amino acid sequence of two proteins
TL;DR: A computer adaptable method for finding similarities in the amino acid sequences of two proteins has been developed and it is possible to determine whether significant homology exists between the proteins to trace their possible evolutionary development.
13.2K
Identification of common molecular subsequences.
TL;DR: This letter extends the heuristic homology algorithm of Needleman & Wunsch (1970) to find a pair of segments, one from each of two long sequences, such that there is no other Pair of segments with greater similarity (homology).
11.3K
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston,Kerstin Lindblad-Toh,Ewan Birney,Jane Rogers,Josep F. Abril,Pankaj K. Agarwal,Richa Agarwala,Rachel Ainscough,Marina Alexandersson,Peter An,Stylianos E. Antonarakis,John Attwood,Robert Baertsch,J Bailey,K F Barlow,Stephan Beck,Eric Berry,Bruce W. Birren,Toby Bloom,Peer Bork,Marc Botcherby,Nicolas Bray,Michael R. Brent,Daniel G. Brown,Daniel G. Brown,Stephen D. Brown,Carol J. Bult,John Burton,Jonathan Butler,R. D. Campbell,Piero Carninci,Simon Cawley,Francesca Chiaromonte,Asif T. Chinwalla,Deanna M. Church,Michele Clamp,C M Clee,Francis S. Collins,Lisa Cook,Richard R. Copley,Alan Coulson,Olivier Couronne,James Cuff,Val Curwen,Tim Cutts,Mark J. Daly,Robert David,Joy Davies,Kimberly D. Delehaunty,Justin Deri,Emmanouil T. Dermitzakis,Colin N. Dewey,Nicholas J. Dickens,Mark Diekhans,Sheila Dodge,Inna Dubchak,Diane M. Dunn,Sean R. Eddy,Laura Elnitski,Richard D. Emes,Pallavi Eswara,Eduardo Eyras,Adam Felsenfeld,Ginger A. Fewell,Paul Flicek,Karen Foley,Wayne N. Frankel,Lucinda Fulton,Robert S. Fulton,Terrence S. Furey,Diane Gage,Richard A. Gibbs,Gustavo Glusman,Sante Gnerre,Nick Goldman,Leo Goodstadt,Darren Grafham,Tina Graves,Eric D. Green,Simon G. Gregory,Roderic Guigó,Mark S. Guyer,Ross C. Hardison,David Haussler,Yoshihide Hayashizaki,Deana W. LaHillier,Angela S. Hinrichs,Wratko Hlavina,Timothy Holzer,Fan Hsu,Axin Hua,Tim Hubbard,Adrienne Hunt,Ian J. Jackson,David B. Jaffe,L. Steven Johnson,Matthew Jones,Thomas A. Jones,A Joy,Michael Kamal,Elinor K. Karlsson,Donna Karolchik,Arkadiusz Kasprzyk,Jun Kawai,Evan Keibler,Cristyn Kells,W. James Kent,Andrew Kirby,Diana L. Kolbe,Ian F Korf,Raju Kucherlapati,Edward J. Kulbokas,David Kulp,Tom Landers,J. P. Leger,Steven Leonard,Ivica Letunic,Rosie Levine,Jia Li,Ming Li,Christine Lloyd,Susan Lucas,Bin Ma,Donna Maglott,Elaine R. Mardis,Lucy Matthews,Evan Mauceli,John Mayer,Megan McCarthy,W. Richard McCombie,Stuart McLaren,Kirsten McLay,John Douglas Mcpherson,James Meldrim,Beverley Meredith,Jill P. Mesirov,Webb Miller,Tracie L. Miner,Emmanuel Mongin,Kate Montgomery,Michael J. Morgan,Richard Mott,James C. Mullikin,Donna M. Muzny,William E. Nash,Joanne O. Nelson,Michael N. Nhan,Robert Nicol,Zemin Ning,Chad Nusbaum,Michael J. O’Connor,Yasushi Okazaki,Karen Oliver,Emma Overton-Larty,Lior Pachter,Genís Parra,Kymberlie H. Pepin,Jane Peterson,Pavel A. Pevzner,Robert W. Plumb,Craig Pohl,Alex Poliakov,Tracy C. Ponce,Chris P. Ponting,Simon C. Potter,Michael A. Quail,Alexandre Reymond,Bruce A. Roe,Krishna M. Roskin,Edward M. Rubin,Alistair G. Rust,Ralph Santos,Victor Sapojnikov,Brian Schultz,Jörg Schultz,Matthias S. Schwartz,Scott Schwartz,Carol Scott,Steven Seaman,Steve Searle,Ted Sharpe,Andrew Sheridan,Ratna Shownkeen,Sarah Sims,Jonathan Singer,Guy Slater,Arian F.A. Smit,Douglas Smith,Brian Spencer,Arne Stabenau,Nicole Stange-Thomann,Charles W. Sugnet,Mikita Suyama,Glenn Tesler,Johanna Thompson,David Torrents,Evanne Trevaskis,John Tromp,Catherine Ucla,Abel Ureta-Vidal,Jade P. Vinson,Andrew von Niederhausern,Claire M. Wade,Melanie M. Wall,R. J. Weber,Robert B. Weiss,Michael C. Wendl,Anthony P. West,Kris A. Wetterstrand,Raymond Wheeler,Simon Whelan,Jamey Wierzbowski,David Willey,Sophie Williams,Richard K. Wilson,Eitan E. Winter,Kim C. Worley,Dudley Wyman,Shan Yang,Shiaw Pyng Yang,Evgeny M. Zdobnov,Michael C. Zody,Eric S. Lander +222 more
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.