Literature DB >> 21901742

Eukaryotic gene prediction using GeneMark.hmm-E and GeneMark-ES.

Mark Borodovsky1, Alex Lomsadze.   

Abstract

This unit describes how to use the gene-finding programs GeneMark.hmm-E and GeneMark-ES for finding protein-coding genes in the genomic DNA of eukaryotic organisms. These bioinformatics tools have been demonstrated to have state-of-the-art accuracy for many fungal, plant, and animal genomes, and have frequently been used for gene annotation in novel genomic sequences. An additional advantage of GeneMark-ES is that the problem of algorithm parameterization is solved automatically, with parameters estimated by iterative self-training (unsupervised training).
© 2011 by John Wiley & Sons, Inc.

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Year:  2011        PMID: 21901742      PMCID: PMC3204378          DOI: 10.1002/0471250953.bi0406s35

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  6 in total

1.  GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions.

Authors:  J Besemer; A Lomsadze; M Borodovsky
Journal:  Nucleic Acids Res       Date:  2001-06-15       Impact factor: 16.971

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training.

Authors:  Vardges Ter-Hovhannisyan; Alexandre Lomsadze; Yury O Chernoff; Mark Borodovsky
Journal:  Genome Res       Date:  2008-08-29       Impact factor: 9.043

4.  Rapid and sensitive sequence comparison with FASTP and FASTA.

Authors:  W R Pearson
Journal:  Methods Enzymol       Date:  1990       Impact factor: 1.600

5.  GeneMark.hmm: new solutions for gene finding.

Authors:  A V Lukashin; M Borodovsky
Journal:  Nucleic Acids Res       Date:  1998-02-15       Impact factor: 16.971

6.  Gene identification in novel eukaryotic genomes by self-training algorithm.

Authors:  Alexandre Lomsadze; Vardges Ter-Hovhannisyan; Yury O Chernoff; Mark Borodovsky
Journal:  Nucleic Acids Res       Date:  2005-11-28       Impact factor: 16.971

  6 in total
  80 in total

1.  Genomic comparison between a virulent type A1 strain of Francisella tularensis and its attenuated O-antigen mutant.

Authors:  Thero Modise; Cheryl Ryder; Shrinivasrao P Mane; Aloka B Bandara; Roderick V Jensen; Thomas J Inzana
Journal:  J Bacteriol       Date:  2012-05       Impact factor: 3.490

2.  Annotation and De Novo Sequence Characterization of Extracellular β-Fructofuranosidase from Penicillium chrysogenum Strain HKF42.

Authors:  Vaibhav V Gujar; Priya Fuke; Anshuman A Khardenavis; Hemant J Purohit
Journal:  Indian J Microbiol       Date:  2018-01-04       Impact factor: 2.461

3.  Clonal evolution and genome stability in a 2500-year-old fungal individual.

Authors:  James B Anderson; Johann N Bruhn; Dahlia Kasimer; Hao Wang; Nicolas Rodrigue; Myron L Smith
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

4.  The genomes of polyextremophilic cyanidiales contain 1% horizontally transferred genes with diverse adaptive functions.

Authors:  Alessandro W Rossoni; Dana C Price; Mark Seger; Dagmar Lyska; Peter Lammers; Debashish Bhattacharya; Andreas Pm Weber
Journal:  Elife       Date:  2019-05-31       Impact factor: 8.140

5.  TaF: a web platform for taxonomic profile-based fungal gene prediction.

Authors:  Sin-Gi Park; DongSung Ryu; Hyunsung Lee; Hojin Ryu; Yong Ju Ahn; Seung Il Yoo; Junsu Ko; Chang Pyo Hong
Journal:  Genes Genomics       Date:  2018-11-19       Impact factor: 1.839

6.  xGDBvm: A Web GUI-Driven Workflow for Annotating Eukaryotic Genomes in the Cloud.

Authors:  Jon Duvick; Daniel S Standage; Nirav Merchant; Volker P Brendel
Journal:  Plant Cell       Date:  2016-03-28       Impact factor: 11.277

7.  Draft genome sequence of Penicillium chrysogenum strain HKF2, a fungus with potential for production of prebiotic synthesizing enzymes.

Authors:  Vaibhav V Gujar; Priya Fuke; Anshuman A Khardenavis; Hemant J Purohit
Journal:  3 Biotech       Date:  2018-02-01       Impact factor: 2.406

8.  Altered gut microbial profile is associated with abnormal metabolism activity of Autism Spectrum Disorder.

Authors:  Zhou Dan; Xuhua Mao; Qisha Liu; Mengchen Guo; Yaoyao Zhuang; Zhi Liu; Kun Chen; Junyu Chen; Rui Xu; Junming Tang; Lianhong Qin; Bing Gu; Kangjian Liu; Chuan Su; Faming Zhang; Yankai Xia; Zhibin Hu; Xingyin Liu
Journal:  Gut Microbes       Date:  2020-04-21

9.  Leucoagaricus gongylophorus produces diverse enzymes for the degradation of recalcitrant plant polymers in leaf-cutter ant fungus gardens.

Authors:  Frank O Aylward; Kristin E Burnum-Johnson; Susannah G Tringe; Clotilde Teiling; Daniel M Tremmel; Joseph A Moeller; Jarrod J Scott; Kerrie W Barry; Paul D Piehowski; Carrie D Nicora; Stephanie A Malfatti; Matthew E Monroe; Samuel O Purvine; Lynne A Goodwin; Richard D Smith; George M Weinstock; Nicole M Gerardo; Garret Suen; Mary S Lipton; Cameron R Currie
Journal:  Appl Environ Microbiol       Date:  2013-04-12       Impact factor: 4.792

10.  Metagenome-Assembled Genomes Contribute to Unraveling of the Microbiome of Cocoa Fermentation.

Authors:  O G G Almeida; E C P De Martinis
Journal:  Appl Environ Microbiol       Date:  2021-07-27       Impact factor: 4.792

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