SOFTWARE
Contents
- RNA software
- Gene Prediction Tools :
- DNA Structure Prediction Tools :
- Visualization Tools :
- Gene Regulation Tools :
- General genomic feature Tools :
- Miscellaneous Tools :
The Flux Capacitor
AStalavista
sgp2
sgp2 is a program to predict genes by comparing anonymous genomic sequences from different species. It combines tblastx, a sequence similarity search program, with geneid, an ab initio gene prediction program.
You will also find whole genome annotations for different species obtained with sgp2 in our "Gene Predictions" web pages.
geneid
geneid is a program to predict genes along a DNA sequence in a large set of organisms. While its accuracy compares favorably to that of other existing tools, geneid is more efficient in terms of speed and memory usage and it offers some rudimentary support to integrate predictions from multiple source.
You will also find whole genome annotations for different species obtained with geneid in our "Gene Predictions" web pages.
AcE
AcE is a program to aid gene prediction accuracy evaluation. It uses GFF format to make it easy to convert gene prediction results into an analyzable format. Novel features include isoform accuracy evaluation from either the annotated gene or gene prediction perspective or both at the same time. Masking of genomic sequence which has unknown features allows gene predictions in annotated regions to be analyzed in a genomic context. Test sets, such as an artificial sequence test set or genomic context test set, can be generated by selecting specified annotated sequences from a master set.
Our version is no longer maintained, from now on you can get the latest AcE version at Bioinformatics.org. You can contact with William.S.Hayes from this link.
SymCurv
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SymCurv is a computational ab initio method for nucleosome positioning prediction. It is based on the structural property of natural nucleosome forming sequences, to be symmetrically curved around a local minimum of curvature.
The method takes as input the primary DNA sequence, calculates the expected curvature from which it deduces possible centers of nucleosomal sequences, by imposing symmetry constraints.
SymCurv's performance is comparable to existing tools but offers the additional advantages of predicting nucleosome positions under two assumed-states (stationary and dynamic) providing insight on the remodelling potential of nucleosomes of possible regulatory function.
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gff2ps
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Obtaining plots to compare genomic sequences and/or sources from GFF files. Last available version is 0.98. Get the PostScript version of "gff2ps Users Manual" (v0.96). A Web Server is also available at Institut Pasteur thanks to Catherine Letondal. A new section has been created: HTML HOWTOs for gff2ps. The first two HOWTOs were also added: "Comparing sources with gff2ps" and "Visualizing PostScript output from gff2ps". We hope you will find them useful. |
gff2ps was used to obtain the six chromosome arm plots (X, 2L, 2R, 3L, 3R and 4) appearing in the "Coding content of the fly genome" genome map (figure 4), included as a poster in "The Genome Sequence of Drosophila melanogaster" [Adams et al. Science 287(5461):2185-2195(2000)].
We have produced the map of the Human Genome with gff2ps. 22 autosomic, X and Y chromosomes were displayed in a big poster appearing as the figure 1 of "The Sequence of the Human Genome" [Venter et al. Science 291(5507):1304-1351 (2001)]. The single chromosome pictures can be accessed from here to visualize the web version of the "Annotation of the Celera Human Genome Assembly" poster.
gff2ps has achieved another genome landmark. The mosquito genome annotation for five chromosome arms (2L, 2R, 3L, 3R and X) has been summarized into a two-sided five-pages foldout included as the figure 1 of "The Genome Sequence of the Malaria Mosquito Anopheles gambiae" [Holt et al. Science 298(5591):129-149 (2002)], available from the "Annotation of the Anopheles gambiae genome sequence" web page.
gff2aplot
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Visualizing pair-wise alignments with annotated axes from GFF files. We are proud to announce the new version of gff2aplot, that has been re-implemented in perl. Visit the program's web page downloading section to obtain v2.0. You can obtain the full distribution tarball from there. Although the "gff2aplot User's Manual" is not finished yet, you can start using it as we have written several HTML tutorials that will introduce you in how to use this program. We hope you will enjoy them. A snapshots web page is also available, listing few examples of what can be done with gff2aplot. |
meta
meta is a program to produce and to align the TF-maps of two gene promoter regions. meta is very useful to characterize promoter regions from orthologous genes, or from co-regulated genes in microarrays, as it reduces the signal/noise ratio in a very significant manner, still detecting the real functional sites.
mmeta
mmeta is a program to produce and to align the TF-maps of multiple promoter regions. mmeta is very powerful to characterize promoter regions from multiple orthologous genes, or from co-regulated genes in microarrays, as it reduces the signal/noise ratio in a very significant manner, still detecting the real functional sites.
overlap
overlap is a program that computes the overlap between two sets of genomic features. More precisely it takes two gff files of genomic features as input and for each feature of the first set, says whether it is overlapped by a feature of the second set (basic mode, however more and more precise information can be retrieved). Please contact Sarah Djebali (sarah dot djebali at crg dot es for any question).
project
project is a program that projects genomic features onto their sequences. Please contact Sarah Djebali (sarah dot djebali at crg dot es for any question).
SECISaln
SECISaln will predict a SECIS element in the query sequence, split it into its constituent parts and align these against a precompiled database of eukaryotic SECIS elements. The user can choose whether the database sequences are sorted by protein family or by species, thereby offering the possibility of comparing the submitted sequence to other, known SECISes. In addition, SECISaln returns a graphical image of the predicted structure of the user-submitted sequence as well as a multiple structural alignment of all SECIS elements of that type already present in the database.

