Literature DB >> 18428791

Using geneid to identify genes.

Enrique Blanco1, Genís Parra, Roderic Guigó.   

Abstract

This unit describes the usage of geneid, an efficient gene-finding program that allows for the analysis of large genomic sequences, including whole mammalian chromosomes. These sequences can be partially annotated, and geneid can be used to refine this initial annotation. Training geneid is relatively easy, and parameter configurations exist for a number of eukaryotic species. Geneid produces output in a variety of standard formats. The results, thus, can be processed by a variety of software tools, including visualization programs. Geneid software is in the public domain, and it is undergoing constant development. It is easy to install and use. Exhaustive benchmark evaluations show that geneid compares favorably with other existing gene finding tools.

Entities:  

Mesh:

Year:  2007        PMID: 18428791     DOI: 10.1002/0471250953.bi0403s18

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


  94 in total

1.  Annotation of the domestic dog genome sequence: finding the missing genes.

Authors:  Thomas Derrien; Amaury Vaysse; Catherine André; Christophe Hitte
Journal:  Mamm Genome       Date:  2011-11-11       Impact factor: 2.957

2.  Updating of transposable element annotations from large wheat genomic sequences reveals diverse activities and gene associations.

Authors:  François Sabot; Romain Guyot; Thomas Wicker; Nathalie Chantret; Bastien Laubin; Boulos Chalhoub; Philippe Leroy; Pierre Sourdille; Michel Bernard
Journal:  Mol Genet Genomics       Date:  2005-10-11       Impact factor: 3.291

3.  An automated proteogenomic method uses mass spectrometry to reveal novel genes in Zea mays.

Authors:  Natalie E Castellana; Zhouxin Shen; Yupeng He; Justin W Walley; California Jack Cassidy; Steven P Briggs; Vineet Bafna
Journal:  Mol Cell Proteomics       Date:  2013-10-18       Impact factor: 5.911

Review 4.  Towards a complete map of the human long non-coding RNA transcriptome.

Authors:  Barbara Uszczynska-Ratajczak; Julien Lagarde; Adam Frankish; Roderic Guigó; Rory Johnson
Journal:  Nat Rev Genet       Date:  2018-09       Impact factor: 53.242

5.  Nucleosome positioning as a determinant of exon recognition.

Authors:  Hagen Tilgner; Christoforos Nikolaou; Sonja Althammer; Michael Sammeth; Miguel Beato; Juan Valcárcel; Roderic Guigó
Journal:  Nat Struct Mol Biol       Date:  2009-09       Impact factor: 15.369

Review 6.  Proteogenomics to discover the full coding content of genomes: a computational perspective.

Authors:  Natalie Castellana; Vineet Bafna
Journal:  J Proteomics       Date:  2010-07-08       Impact factor: 4.044

7.  Long noncoding RNAs with enhancer-like function in human cells.

Authors:  Ulf Andersson Ørom; Thomas Derrien; Malte Beringer; Kiranmai Gumireddy; Alessandro Gardini; Giovanni Bussotti; Fan Lai; Matthias Zytnicki; Cedric Notredame; Qihong Huang; Roderic Guigo; Ramin Shiekhattar
Journal:  Cell       Date:  2010-10-01       Impact factor: 41.582

8.  Molecular Diagnosis of Hereditary Fructose Intolerance: Founder Mutation in a Community from India.

Authors:  Sunita Bijarnia-Mahay; Sireesha Movva; Neerja Gupta; Deepak Sharma; Ratna D Puri; Udhaya Kotecha; Renu Saxena; Madhulika Kabra; Neelam Mohan; Ishwar C Verma
Journal:  JIMD Rep       Date:  2015-01-18

9.  A nuclear single-nucleotide polymorphism (SNP) potentially useful for the separation of Rhodnius prolixus from members of the Rhodnius robustus cryptic species complex (Hemiptera: Reduviidae).

Authors:  Márcio G Pavan; Rafael D Mesquita; Gena G Lawrence; Cristiano Lazoski; Ellen M Dotson; Sahar Abubucker; Makedonka Mitreva; Jennifer Randall-Maher; Fernando A Monteiro
Journal:  Infect Genet Evol       Date:  2012-12-06       Impact factor: 3.342

10.  Sequence variation between 462 human individuals fine-tunes functional sites of RNA processing.

Authors:  Pedro G Ferreira; Martin Oti; Matthias Barann; Thomas Wieland; Suzana Ezquina; Marc R Friedländer; Manuel A Rivas; Anna Esteve-Codina; Philip Rosenstiel; Tim M Strom; Tuuli Lappalainen; Roderic Guigó; Michael Sammeth
Journal:  Sci Rep       Date:  2016-09-12       Impact factor: 4.379

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