GenomeTools: A Comprehensive Software Library for Efficient Processing of Structured Genome Annotations

By Gordon Gremme, Sascha Steinbiss, Stefan Kurtz. IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2013

414 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/96cc7d331afd71648b286013253288e51f4c7ce8

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. Matei A. Zaharia
2. Omar Khattab
3. Christopher Potts
4. Jimmy J. Lin
5. Sheng-Chieh Lin
6. Jheng-Hong Yang
7. Keshav Santhanam
8. Sebastian Hofstätter

In Molecular Biology

1. Mark Borodovsky
2. Alexandre Lomsadze
3. Tomás Bruna
4. Katharina Jasmin Hoff
5. Mario Stanke
6. C. Chiu
7. Steve Miller
8. Mark Yandell

Citations in the corpus

• A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples (2014, methodology): “…to a stool sample from a child in Mexico with diarrhea (Yu et al. 2012), a nasal swab sample from a patient with acute respiratory illness (Greninger et al. 2010), and a serum sample from a patient in California with hantavirus pulmonary syndrome (Nunez et al. 2014), harboring RSV,…”
• BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database (2020, methodology): “gtf format with GenomeTools [17]: gt gff3_to_gtf <(grep -P "^#|\tmaker\t" genome.”