Engineering a software tool for gene structure prediction in higher organisms

By Gordon Gremme, Volker P. Brendel, Michael E. Sparks, Stefan Kurtz. Information and Software Technology, 2005

357 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1766ccb8a22fe5ead683a08b0d12d79eaf603724

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Marc Robinson-Rechavi
2. Bernard Henrissat
3. Mark L. Blaxter

In Molecular Biology

1. Bernard Henrissat
2. Pedro M. Coutinho
3. Marc Robinson-Rechavi
4. Graziano Pesole
5. Thomas Schiex
6. Etienne G. J. Danchin
7. Mark L. Blaxter
8. L. Prendini

Citations in the corpus

• Genome Annotation in Plants and Fungi: EuGene as a Model Platform (2008, neutral): “GeneSeqer [11] or GenomeThreader [12]).”
• GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins (2020, neutral): “Therefore, mapping a protein to genomic locus where a homologous protein is expected to be encoded was a subject for developing specialized tools known as tools for protein spliced alignment [e.g. currently available GeneWise (6), GenomeThreader (7), ProSplign (8) and Spaln (9)].”
• Genome sequence of the metazoan plant-parasitic nematode Meloidogyne incognita (2008, methodology): “incognita ESTs were aligned on the genome using GenomeThreade”
• The genome of Theobroma cacao (2011, neutral): “Cacao chromosome Arabidopsis chromosome C1(1321) A1(63)-A2(85)-A3(69)-A4(116)-A5(64) C2(935) A1(89)-A2(30)-A4(61)-A5(10) C3(1018) A1(70)-A3(17)-A4(63)-A5(130) C4(837) A1(21)-A2(9)-A3(94)-A4(36)-A5(44) C5(820) A1(24)-A2(51)-A3(78)-A5(37) C6(616) A1(59)-A2(15)-A4(66)-A5(26) C7(287) A1(5)-A5(32) C8(605”