289 related articles for article (PubMed ID: 18428700)
1. Prokaryotic gene prediction using GeneMark and GeneMark.hmm.
Borodovsky M; Mills R; Besemer J; Lomsadze A
Curr Protoc Bioinformatics; 2003 May; Chapter 4():Unit4.5. PubMed ID: 18428700
[TBL] [Abstract][Full Text] [Related]
2. Eukaryotic gene prediction using GeneMark.hmm.
Borodovsky M; Lomsadze A; Ivanov N; Mills R
Curr Protoc Bioinformatics; 2003 May; Chapter 4():Unit4.6. PubMed ID: 18428701
[TBL] [Abstract][Full Text] [Related]
3. Probabilistic methods of identifying genes in prokaryotic genomes: connections to the HMM theory.
Azad RK; Borodovsky M
Brief Bioinform; 2004 Jun; 5(2):118-30. PubMed ID: 15260893
[TBL] [Abstract][Full Text] [Related]
4. CONSORF: a consensus prediction system for prokaryotic coding sequences.
Kang S; Yang SJ; Kim S; Bhak J
Bioinformatics; 2007 Nov; 23(22):3088-90. PubMed ID: 17977885
[TBL] [Abstract][Full Text] [Related]
5. PSAT: a web tool to compare genomic neighborhoods of multiple prokaryotic genomes.
Fong C; Rohmer L; Radey M; Wasnick M; Brittnacher MJ
BMC Bioinformatics; 2008 Mar; 9():170. PubMed ID: 18366802
[TBL] [Abstract][Full Text] [Related]
6. Training HMM structure with genetic algorithm for biological sequence analysis.
Won KJ; Prügel-Bennett A; Krogh A
Bioinformatics; 2004 Dec; 20(18):3613-9. PubMed ID: 15297297
[TBL] [Abstract][Full Text] [Related]
7. GeneMark.hmm: new solutions for gene finding.
Lukashin AV; Borodovsky M
Nucleic Acids Res; 1998 Feb; 26(4):1107-15. PubMed ID: 9461475
[TBL] [Abstract][Full Text] [Related]
8. A universal operon predictor for prokaryotic genomes.
Li G; Che D; Xu Y
J Bioinform Comput Biol; 2009 Feb; 7(1):19-38. PubMed ID: 19226658
[TBL] [Abstract][Full Text] [Related]
9. Gene recognition in cyanobacterium genomic sequence data using the hidden Markov model.
Yada T; Hirosawa M
Proc Int Conf Intell Syst Mol Biol; 1996; 4():252-60. PubMed ID: 8877525
[TBL] [Abstract][Full Text] [Related]
10. Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arrays.
Gupta M
Biometrics; 2007 Sep; 63(3):797-805. PubMed ID: 17825011
[TBL] [Abstract][Full Text] [Related]
11. Applications of GeneMark in multispecies environments.
McIninch JD; Hayes WS; Borodovsky M
Proc Int Conf Intell Syst Mol Biol; 1996; 4():165-75. PubMed ID: 8877516
[TBL] [Abstract][Full Text] [Related]
12. How to interpret an anonymous bacterial genome: machine learning approach to gene identification.
Hayes WS; Borodovsky M
Genome Res; 1998 Nov; 8(11):1154-71. PubMed ID: 9847079
[TBL] [Abstract][Full Text] [Related]
13. Introduction to comparing large sequence sets.
Page RD
Curr Protoc Bioinformatics; 2003 Feb; Chapter 10():Unit 10.1. PubMed ID: 18428691
[TBL] [Abstract][Full Text] [Related]
14. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions.
Besemer J; Lomsadze A; Borodovsky M
Nucleic Acids Res; 2001 Jun; 29(12):2607-18. PubMed ID: 11410670
[TBL] [Abstract][Full Text] [Related]
15. Segmentation algorithm for DNA sequences.
Zhang CT; Gao F; Zhang R
Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Oct; 72(4 Pt 1):041917. PubMed ID: 16383430
[TBL] [Abstract][Full Text] [Related]
16. Using RepeatMasker to identify repetitive elements in genomic sequences.
Chen N
Curr Protoc Bioinformatics; 2004 May; Chapter 4():Unit 4.10. PubMed ID: 18428725
[TBL] [Abstract][Full Text] [Related]
17. BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.
Marioni JC; Thorne NP; Tavaré S
Bioinformatics; 2006 May; 22(9):1144-6. PubMed ID: 16533818
[TBL] [Abstract][Full Text] [Related]
18. Pattern locator: a new tool for finding local sequence patterns in genomic DNA sequences.
Mrázek J; Xie S
Bioinformatics; 2006 Dec; 22(24):3099-100. PubMed ID: 17095514
[TBL] [Abstract][Full Text] [Related]
19. GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses.
Besemer J; Borodovsky M
Nucleic Acids Res; 2005 Jul; 33(Web Server issue):W451-4. PubMed ID: 15980510
[TBL] [Abstract][Full Text] [Related]
20. MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes.
Zhu H; Hu GQ; Yang YF; Wang J; She ZS
BMC Bioinformatics; 2007 Mar; 8():97. PubMed ID: 17367537
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
