Current methods of gene prediction, their strengths and weaknesses.
about
Impact of RNA structure on the prediction of donor and acceptor splice sitesA novel method for prokaryotic promoter prediction based on DNA stabilityFeature selection for splice site prediction: a new method using EDA-based feature rankingGeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of expertsPilot Anopheles gambiae full-length cDNA study: sequencing and initial characterization of 35,575 clones.Integrative analysis of intraerythrocytic differentially expressed transcripts yields novel insights into the biology of Plasmodium falciparumGene prediction using the Self-Organizing Map: automatic generation of multiple gene modelsImporting statistical measures into Artemis enhances gene identification in the Leishmania genome projectPredicting non-coding RNA genes in Escherichia coli with boosted genetic programmingA method of precise mRNA/DNA homology-based gene structure predictionTiling microarray analysis of rice chromosome 10 to identify the transcriptome and relate its expression to chromosomal architectureFIGENIX: intelligent automation of genomic annotation: expertise integration in a new software platformGene identification in novel eukaryotic genomes by self-training algorithm.Computational Identification of Novel Genes: Current and Future PerspectivesWell-characterized sequence features of eukaryote genomes and implications for ab initio gene predictionAn integrated approach for finding overlooked genes in ShigellaTranscriptome profile of a bovine respiratory disease pathogen: Mannheimia haemolytica PHL213New insights into the origin of the B genome of hexaploid wheat: evolutionary relationships at the SPA genomic region with the S genome of the diploid relative Aegilops speltoidesIdentification and characterization of insect-specific proteins by genome data analysisANGLE: a sequencing errors resistant program for predicting protein coding regions in unfinished cDNA.Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC).Breast cancer prediction using genome wide single nucleotide polymorphism data.Sorghum expressed sequence tags identify signature genes for drought, pathogenesis, and skotomorphogenesis from a milestone set of 16,801 unique transcripts.Phylogeny of Na+/Ca2+ exchanger (NCX) genes from genomic data identifies new gene duplications and a new family member in fish species.vALId: validation of protein sequence quality based on multiple alignment data.Analysis of CATMA transcriptome data identifies hundreds of novel functional genes and improves gene models in the Arabidopsis genome.Fugu ESTs: new resources for transcription analysis and genome annotation.EST2Prot: mapping EST sequences to proteins.Differential gene expression in abdomens of the malaria vector mosquito, Anopheles gambiae, after sugar feeding, blood feeding and Plasmodium berghei infectionIdentification of stress-responsive genes in an indica rice (Oryza sativa L.) using ESTs generated from drought-stressed seedlings.Global discriminative learning for higher-accuracy computational gene prediction.Features generated for computational splice-site prediction correspond to functional elements.Novel insights into the unfolded protein response using Pichia pastoris specific DNA microarrays.MetWAMer: eukaryotic translation initiation site prediction.A method for identifying alternative or cryptic donor splice sites within gene and mRNA sequences. Comparisons among sequences from vertebrates, echinoderms and other groups.Physico-chemical fingerprinting of RNA genesUstilago maydis transcript features identified through full-length cDNA analysis.Proteogenomics to discover the full coding content of genomes: a computational perspective.The Streptomyces coelicolor polynucleotide phosphorylase homologue, and not the putative poly(A) polymerase, can polyadenylate RNA.Neurogenomics: at the intersection of neurobiology and genome sciences.
P2860
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P2860
Current methods of gene prediction, their strengths and weaknesses.
description
2002 nî lūn-bûn
@nan
2002 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Current methods of gene prediction, their strengths and weaknesses.
@ast
Current methods of gene prediction, their strengths and weaknesses.
@en
Current methods of gene prediction, their strengths and weaknesses.
@nl
type
label
Current methods of gene prediction, their strengths and weaknesses.
@ast
Current methods of gene prediction, their strengths and weaknesses.
@en
Current methods of gene prediction, their strengths and weaknesses.
@nl
prefLabel
Current methods of gene prediction, their strengths and weaknesses.
@ast
Current methods of gene prediction, their strengths and weaknesses.
@en
Current methods of gene prediction, their strengths and weaknesses.
@nl
P2093
P2860
P356
P1476
Current methods of gene prediction, their strengths and weaknesses.
@en
P2093
Catherine Mathé
Pierre Rouzé
Thomas Schiex
P2860
P304
P356
10.1093/NAR/GKF543
P407
P577
2002-10-01T00:00:00Z