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Cited by 378

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Human and Mouse Gene Structure: Comparative Analysis and Application to Exon Prediction

Open access
Batzoglou, Serafim, Pachter, Lior, Mesirov, Jill P., Berger, Bonnie, Lander, Eric S.·2000·Genome Research

Abstract

We describe a novel analytical approach to gene recognition based on cross-species comparison. We first undertook a comparison of orthologous genomic loci from human and mouse, studying the extent of similarity in the number, size and sequence of exons and introns. We then developed an approach for recognizing genes within such orthologous regions by first aligning the regions using an iterative global alignment system and then identifying genes based on conservation of exonic features at aligned positions in both species. The alignment and gene recognition are performed by new programs called GLASS and ROSETTA, respectively.ROSETTA performed well at exact identification of coding exons in 117 orthologous pairs tested.

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Crossref · 10.1101/gr.10.7.950

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Metadata

Authors
Batzoglou, S., Pachter, L., Mesirov, J. P., Berger, B., & Lander, E. S.
Venue
Genome Research
Published
2000-07-01
Volume
10
Issue
7
Pages
950-958
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2116688916
Cited by
378
References
1
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Human and Mouse Gene Structure: Comparative Analysis and Application to Exon Prediction. https://app.cochat.ai/papers/10.1101/gr.10.7.950
The paper
Batzoglou, S., Pachter, L., Mesirov, J. P., Berger, B., & Lander, E. S. (2000). Human and Mouse Gene Structure: Comparative Analysis and Application to Exon Prediction. Genome Research. https://doi.org/10.1101/gr.10.7.950

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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.