gff2aplot: Plotting sequence comparisons.
ABSTRACT gff2aplot is a program to visualize the alignment of two sequences together with their annotations. Input for the program consists of single or multiple files in GFF-format which specify the alignment coordinates and annotation features of both sequences. Output is in PostScript format of any size. The features to be displayed are highly customizable to meet user specific needs. The program serves to generate print-quality images for comparative genome sequence analysis.
gff2aplot is freely available under the GNU software licence and can be downloaded from the address specified below.
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ABSTRACT: Embryonic development in nonmammalian vertebrates depends entirely on nutritional reserves that are predominantly derived from vitellogenin proteins and stored in egg yolk. Mammals have evolved new resources, such as lactation and placentation, to nourish their developing and early offspring. However, the evolutionary timing and molecular events associated with this major phenotypic transition are not known. By means of sensitive comparative genomics analyses and evolutionary simulations, we here show that the three ancestral vitellogenin-encoding genes were progressively lost during mammalian evolution (until around 30-70 million years ago, Mya) in all but the egg-laying monotremes, which have retained a functional vitellogenin gene. Our analyses also provide evidence that the major milk resource genes, caseins, which have similar functional properties as vitellogenins, appeared in the common mammalian ancestor approximately 200-310 Mya. Together, our data are compatible with the hypothesis that the emergence of lactation in the common mammalian ancestor and the development of placentation in eutherian and marsupial mammals allowed for the gradual loss of yolk-dependent nourishment during mammalian evolution.PLoS Biology 04/2008; 6(3):e63. · 12.69 Impact Factor
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ABSTRACT: The authors propose a simple version of the dot-plot scheme to be used in the case when the distances between sequence elements may take more than two values. The method is applicable, in particular, to the case of the sequences of large-length windows when the sets of distance values are continuous. The proposed technique is simple to implement and the results can produce readable maps for further analysis. To illustrate its potentialities, the method has been applied to the comparison of genomic sequences. The asymmetry in the number of direct and reverse tracks for the Homo sapience genome has been discovered.Information Sciences 01/2011; · 3.64 Impact Factor
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BIOINFORMATICS APPLICATIONS NOTE
Vol. 19 no. 18 2003, pages 2477–2479
gff2aplot: Plotting sequence comparisons
Josep F. Abril1,∗, Roderic Guigó1and Thomas Wiehe2,†
1Grup de Recerca en Informàtica Biomèdica, Institut Municipal d’Investigació Mèdica
(IMIM) Universitat Pompeu Fabra (UPF)—Centre de Regulació Genòmica (CRG),
Passeig Marítim de la Barceloneta 37–49, 08003 Barcelona, Catalonia, Spain and2Freie
Universität Berlin, Arnimallee 22, 14195 Berlin, Germany
Received on March 4, 2003; revised on June 11, 2003; accepted on June 20, 2003
of two sequences together with their annotations. Input for the
specify the alignment coordinates and annotation features of
both sequences.Output is in PostScript format of any size.The
features to be displayed are highly customizable to meet user
specific needs. The program serves to generate print-quality
images for comparative genome sequence analysis.
Availability: gff2aplot is freely available under the GNU
software licence and can be downloaded from the address
suggestively display a pairwise alignment, possibly together
with domain annotations for one or both sequences. Some
well-known programs are Dotter (Sonnhammer and Durbin,
2000) or Laj (Wilson et al., 2001). While the first tool is
suited to interactively explore the site by site comparison of
two sequences without annotations, the others produce a one-
dimensional projection of a pairwise or a multiple alignment,
lying alignment algorithm. We have developed the program
gff2aplot to generate two-dimensional annotated align-
ment plots in PostScript format. gff2aplot is not tied to
a particular alignment algorithm, but rather can be used as
a visualization filter after running some independent align-
ment tool. In this regard gff2aplot is related to Alfresco
(Jareborg and Durbin, 2000), but while Alfresco is oriented
towards highly interactive use and has limited printing cap-
abilities, gff2aplot is intented for producing high quality
∗To whom correspondence should be addressed.
†Current Address: Universität zu Köln, Institut für Genetik, Weyertal 121,
50931 Köln, Germany.
printed images. The strategy used in gff2aplot is very
from different sources. User may parse alignment segments
from any of the current similarity search tools, and combine
them if desired in the gff2aplot output. We provide sev-
eral such filters from the gff2aplot website, to parse, for
instance, NCBI-BLAST (Altschul et al., 1997), WU-BLAST
(W. Gish, 1996–2003, http://blast.wustl.edu), SIM (Huang
(Kent, 2002). Integrating data will improve the information
we obtain about pairs of genomic sequences. We distinguish
records containing annotation features and those defining
alignment segments. One or more ASCII input data files in
GFF-format (see gff2aplot manual) can be processed in a
single run. The image produced has a standard layout: it con-
sists of two panels, placed above each other. The upper one
displays the alignment of two sequences by means of a rect-
angular matrix. Sequence annotations are displayed along the
top and left edges. The optional lower one contains vertical
projections of the aligned fragments in the upper panel and
displays their alignment scores or match percentages as in a
PiPplot (see examples from Fig. 1). Sequence coordinate tags
are shown on the lower and right edges of the panel frames.
Projections of the annotated features can be shown under the
alignment segments to highlight relationships between them.
As in gff2ps, gff2aplot assumes that the input GFF
records carry enough formatting information. Thus, in most
cases, meaningful output can be obtained using the default
settings. Nevertheless, gff2aplot allows for a high degree
of customization. Almost any component of the plot can be
configured, either through a very flexible customization file
(several of such files can be processed for a single plot), or
particular, users can select any standard printing media size
or define their own plot sizes.
gff2aplot is written in PERL and PostScript. It runs
on UNIX or Linux platforms and it does not require any
special compiler or additional software beyond the installa-
tion of Perl, version 5.5 or higher. The program generates a
PostScript output file which can be viewed or printed with
Bioinformatics 19(18) © Oxford University Press 2003; all rights reserved.
by guest on July 15, 2011
J.F.Abril et al.
Human/Mouse MHCII Region
Zooming into the LMP2 gene region
10002000 30004000 500060001 6500
LMP2 polyA site
10002000 300040000 4200
Fig. 1. (Left panel) Comparative analysis of a syntenic genomic region between human and mouse, extending across several genes (MHC II
region, Accession Numbers shown on annotation axes main labels). Alignment was obtained using SIM (Huang and Miller, 1991). The pale
violet box highlights the region being expanded in the bottom right plot, while red arrows show the corresponding areas on both figures.
The region being expanded is the LMP2 human gene region and its counterpart in mouse. Green boxes and projections correspond to CDSs,
as annotated in GenBank, while red boxes conform the predicted gene structure by program SGP-1 (Wiehe et al., 2001). (Right panel) All
this case for creatine kinase B gene (Accession Numbers X15334 and M74149, for human and mouse, respectively). gff2aplot combines
here results from two different analysis, red bars correspond to putative donor sites and blue bars to acceptor site ones. All input and parameter
files which were used to generate the examples in the figure are accessible from the gff2aplot website. Additional examples, as well as a
detailed user manual, can also be found there.
any PostScript capable output device. Although PostScript
lacks user-interactivity and hyper-link capability, for high-
quality images the page description language PostScript has
several advantages over bitmap graphics programs. Among
these are the free scalability of all plots, the embed-ability of
PostScript picture files into text documents (specially those
written in LATEX), the graphics device independence and the
robustness with respect to handling large amounts of data.
These properties have made gff2ps the tool of election to
produce, among other applications, the gene content maps
of the fly (Adams et al., 2000), human (Venter et al., 2001),
and mosquito (Holt et al., 2002) genomes. Like gff2ps, the
gff2aplot program described here is suitable as a filter for
high-throughput analysis pipelines. The program has already
in recent publications (e.g. Parra et al., 2003); development
versions of gff2aplot have already been used in other
papers (e.g. Reichwald et al., 2000; Wiehe et al., 2001).
Although initially developed to display sequence similarity
relationships, the simplicity and generality of the GFF stand-
ard may make gff2aplot, through its high customization
capabilities, useful to display other matrix-like generic rela-
tionships between sequences, for example the splice sites
analysis shown in the right panel of Figure 1.
We would like to thank Matthias Platzer, Jena, for helpful
comments while developing the program prototype, and the
extensive testing of gff2aplot. J.F.A. is supported by a
predoctoral fellowship from the ‘Instituto de Salud Carlos
III (Spain)’, 99/9345. This work was also supported by a
joint grant from the ‘German Academic Exchange Service
(DAAD)’ to TW and the ‘Ministerio de Educación y Ciencia
(Spain)’ to RG. Research at the Genome BioInformatics
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