The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species
Open accessAbstract
Background: For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is available, precise annotation of genes is lacking behind. Finding the corresponding gene of a given protein sequence by means of conventional tools is error prone, and cannot be completed without manual inspection, which is time consuming and requires considerable experience. Results: Scipio is a tool based on the alignment program BLAT to determine the precise gene structure given a protein sequence and a genome sequence. It identifies intron-exon borders and splice sites and is able to cope with sequencing errors and genes spanning several contigs in genomes that have not yet been assembled to supercontigs or chromosomes. Instead of producing a set of hits with varying confidence, Scipio gives the user a coherent summary of locations on the genome that code for the query protein. The output contains information about discrepancies that may result from sequencing errors. Scipio has also successfully been used to find homologous genes in closely related species. Scipio was tested with 979 protein queries against 16 arthropod genomes (intra species search). For cross-species annotation, Scipio was used to annotate 40 genes from Homo sapiens in the primates Pongo pygmaeus abelii and Callithrix jacchus. The prediction quality of Scipio was tested in a comparative study against that of BLAT and the well established program Exonerate. Conclusion: Scipio is able to precisely map a protein query onto a genome. Even in cases when there are many sequencing errors, or when incomplete genome assemblies lead to hits that stretch across multiple target sequences, it very often provides the user with the correct determination of intron-exon borders and splice sites, showing an improved prediction accuracy compared to BLAT and Exonerate. Apart from being able to find genes in the genome that encode the query protein, Scipio can also be used to annotate genes in closely related species.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Complete sequencing and characterization of 21,243 full-length human cDNAs
Ota, T., Suzuki, Y., Nishikawa, T., Otsuki, T., Sugiyama, T., Irie, R., Wakamatsu, A., Hayashi, K., Sato, H., Nagai, K., et al. (2004) · Nature Genetics · doi:10.1038/ng1285 · Cited by 925
Cited by
A novel hybrid gene prediction method employing protein multiple sequence alignments
Keller, O., Kollmar, M., Stanke, M., & Waack, S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr010 · Cited by 587
Self-citationPredicting genes in single genomes with AUGUSTUS
Hoff, K. J., & Stanke, M. (2019) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.57 · Cited by 421
Self-citationThompson, J. D., Linard, B., Lecompte, O., & Poch, O. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018093 · Cited by 242
Gan, P., Narusaka, M., Kumakura, N., Tsushima, A., Takano, Y., Narusaka, Y., & Shirasu, K. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw089 · Cited by 98
The vast majority of somatic mutations in plants are layer-specific
Goel, M., Campoy, J. A., Krause, K., Baus, L. C., Sahu, A., Sun, H., Walkemeier, B., Marek, M., Beaudry, R., Ruiz, D., et al. (2024) · Genome Biology · doi:10.1186/s13059-024-03337-0 · Cited by 31
Metadata
- Authors
- Keller, O., Odronitz, F., Stanke, M., Kollmar, M., & Waack, S.
- Venue
- BMC Bioinformatics
- Published
- 2008-06-13
- Volume
- 9
- Issue
- 1
- Pages
- 278-278
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W2037687988
- Cited by
- 170
- References
- 2
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species. https://app.cochat.ai/papers/10.1186/1471-2105-9-278
- The paper
- Keller, O., Odronitz, F., Stanke, M., Kollmar, M., & Waack, S. (2008). Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species. BMC Bioinformatics. https://doi.org/10.1186/1471-2105-9-278
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.