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Gene prediction and annotation

Gene and repetitive sequence annotation in the Triticeae

Gene and repetitive sequence annotation in the Triticeae

... for gene prediction where results from homology based and de- novo TE identification methods are ...automated annotation of TE is very complex and many exceptions and special cases are not handled by ...

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A meta-approach for improving the prediction and the functional annotation of ortholog groups

A meta-approach for improving the prediction and the functional annotation of ortholog groups

... Methods: We developed a method based on a meta-approach that is able to combine the results of several methods for orthologous group prediction. The purpose of this method is to produce better quality results by ...

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Gene Prediction with a Hidden Markov Model

Gene Prediction with a Hidden Markov Model

... the gene structure underlying the ...its annotation of protein-coding ...the gene structure which is most likely in the probabilistic model given the input DNA ...likely gene structure of the ...

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An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome

An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome

... false gene models for our microarray, we aimed to exclude most 5' and 3' regions from the amplicon design, as ab initio gene prediction programs tend to have most problems in finding the correct ...

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Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes

... genomic prediction (GP) is an established technology in plant and animal breeding ...incorporate gene annotation into GP of complex phenotypes by defining haploblocks according to gene ...using ...

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Sequence based feature prediction and annotation of proteins

Sequence based feature prediction and annotation of proteins

... non-homologous prediction methods with homologous or structural methods is likely to overcome limitations inherent in each individual ...function prediction is multi-functionality, where proteins have ...

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Best Practices in Manual Annotation with the Gene Ontology

Best Practices in Manual Annotation with the Gene Ontology

... chapter, prediction methods are highly dependent on annotations based on ...to gene prod- ucts based on experimental results is crucial, since many further annotations depend on their ...

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Gene Expression Analysis Annotation/Functional Analysis

Gene Expression Analysis Annotation/Functional Analysis

... • Initiation / termination = ATG / TGA, TAG, TAA • Exon – 5 th order inhomogeneous model derived from non-overlapping ORFs > 1000 bases long • even in eukaryotes very long ORFs are likely to be (single exon) genes • ...

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TransATH: Transporter prediction via 
		annotation transfer by homology

TransATH: Transporter prediction via annotation transfer by homology

... Keywords: transmembrane transport proteins, annotation transfer by homology, subcellular localization. INTRODUCTION This paper deals with computational aspects of the automatic reconstruction of the metabolic ...

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Annotation of Human Exome Gene Variants with Consensus Pathogenicity

Annotation of Human Exome Gene Variants with Consensus Pathogenicity

... pathogenicity prediction scores, and are in most cases not ...a gene indispensability score as one of the inputs in training to account for such differences due to varying gene ...

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A Combined Approach for Genome Wide Protein Function Annotation/Prediction

A Combined Approach for Genome Wide Protein Function Annotation/Prediction

... with Gene Ontology functional depen- dencies to infer functions of uncharacterized ...with Gene Ontology relationships to predict multiple but related functional categories of unan- notated ...the ...

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A Combined Approach for Genome Wide Protein Function Annotation/Prediction

A Combined Approach for Genome Wide Protein Function Annotation/Prediction

... with Gene Ontology functional depen- dencies to infer functions of uncharacterized ...with Gene Ontology relationships to predict multiple but related functional categories of unan- notated ...the ...

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A combined approach for genome wide protein function annotation/prediction

A combined approach for genome wide protein function annotation/prediction

... Until recently, numerous high-throughput experimen- tal procedures have been developed to investigate the mechanisms leading to the accomplishment of a pro- tein ’ s function. Different information sources including ...

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High performance web services for querying gene and variant annotation

High performance web services for querying gene and variant annotation

... variant annotation objects by vari- ous criteria, such as genomic ranges, prediction score cutoffs, exact field matching, and keyword search in a text ...

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CoMAGD: Annotation of Gene Depression Relations

CoMAGD: Annotation of Gene Depression Relations

... as gene changes and biological ...eted annotation scheme for cancers (Lee et ...of annotation is com- posed of four concepts that together express two events, gene expression changes and ...

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Ensembl Gene Annotation (e!101)

Ensembl Gene Annotation (e!101)

... When selecting the model or models kept at each position, we prioritise based on the highest layer with available evidence. In general, the highest layers contain the set of evidence containing the most trustworthy ...

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Gene finding and gene structure prediction

Gene finding and gene structure prediction

... • Linear discrimination analysis is used to linearly combine several measures (e.g. signals and coding statistics) in order to perform the best discrimination between coding and non-codi[r] ...

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Structured Prediction with Output Embeddings for Semantic Image Annotation

Structured Prediction with Output Embeddings for Semantic Image Annotation

... We will conduct experiments with two different feature representations: 1) Fully unsupervised Skip- Gram based Continuous Word Representations (SCWR) and 2) a feature representation comp[r] ...

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Structured Prediction with Output Embeddings for Semantic Image Annotation

Structured Prediction with Output Embeddings for Semantic Image Annotation

... 1 Introduction Many important problems in machine learning can be framed as structured prediction tasks where the goal is to learn functions that map inputs to struc- tured outputs such as sequences, trees or ...

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Transcriptome Assembly, Gene Annotation and Tissue Gene Expression Atlas of the Rainbow Trout

Transcriptome Assembly, Gene Annotation and Tissue Gene Expression Atlas of the Rainbow Trout

... addition, gene expression in differ- ent tissues was not completely addressed in the previous ...digital gene expression atlas revealed 7,678 housekeeping and 4,021 tissue-specific ...including ...

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