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  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
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  6. Keywords
  7. Topics
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We are analyzing https://link.springer.com/article/10.1186/gb-2012-13-9-r51.

Title:
The GENCODE pseudogene resource | Genome Biology
Description:
Background Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. Results As part of the GENCODE annotation of the human genome, we present the first genome-wide pseudogene assignment for protein-coding genes, based on both large-scale manual annotation and in silico pipelines. A key aspect of this coupled approach is that it allows us to identify pseudogenes in an unbiased fashion as well as untangle complex events through manual evaluation. We integrate the pseudogene annotations with the extensive ENCODE functional genomics information. In particular, we determine the expression level, transcription-factor and RNA polymerase II binding, and chromatin marks associated with each pseudogene. Based on their distribution, we develop simple statistical models for each type of activity, which we validate with large-scale RT-PCR-Seq experiments. Finally, we compare our pseudogenes with conservation and variation data from primate alignments and the 1000 Genomes project, producing lists of pseudogenes potentially under selection. Conclusions At one extreme, some pseudogenes possess conventional characteristics of functionality; these may represent genes that have recently died. On the other hand, we find interesting patterns of partial activity, which may suggest that dead genes are being resurrected as functioning non-coding RNAs. The activity data of each pseudogene are stored in an associated resource, psiDR, which will be useful for the initial identification of potentially functional pseudogenes.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
  • Science
  • Technology & Computing

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

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Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

The income method remains a mystery to us.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Link.springer.com might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

pseudogenes, pseudogene, genome, gene, pubmed, sequence, parent, annotation, transcription, transcribed, human, data, article, active, genes, google, scholar, processed, figure, chromatin, duplicated, activity, number, genomic, functional, proteincoding, cas, sequences, identity, cell, central, manual, upstream, regions, analysis, parents, binding, models, encode, selection, evidence, evolutionary, locus, gencode, gerstein, based, showing, pipelines, annotated, results,

Topics {✒️}

large-scale rt-pcr-seq experiments high-throughput wet-lab experiments large-scale rt-pcr-seq article number r51 comparative genomics search genome-wide high-quality annotation rt-pcr-seq techniques article download pdf wilcoxon rank-sum test enhancer/gene body middle tissue/cell line-specific information encode chip-seq experiments combines rt-pcr amplification protein-coding paralogous loci adjacent protein-coding locus processed pseudogene rp11-409k20 weak/poor biological replicates cristina sisu total rna-seq data analyze rna-seq data paired-end tag sequencing genome-wide pseudogene assignment protein-coding loci derived genome-wide segmentation pattern large-scale manual annotation active chromatin state chromatin state segmentation liu yj locus-specific transcription evidence rt-pcr-seq full size image privacy choices/manage cookies chromatin accessibility data high-throughput sequencing small interfering rna population-scale sequencing retroposed gene copies chip-seq data filled green box neighboring genomic locations gene body middle wet-lab validation genome-wide scale full size table neighboring genomic loci pol2 binding sites rna-based gene duplication rna-seq data rna-interference pathway [19 lacking transcription evidence

Questions {❓}

  • Balakirev E, Ayala F: Pseudogenes: are they "junk" or functional DNA?
  • Guo X, Zhang Z, Gerstein MB, Zheng D: Small RNAs originated from pseudogenes: cis- or trans-acting?
  • Zheng D, Gerstein MB: The ambiguous boundary between genes and pseudogenes: the dead rise up or do they?

Schema {🗺️}

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      headline:The GENCODE pseudogene resource
      description:Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. As part of the GENCODE annotation of the human genome, we present the first genome-wide pseudogene assignment for protein-coding genes, based on both large-scale manual annotation and in silico pipelines. A key aspect of this coupled approach is that it allows us to identify pseudogenes in an unbiased fashion as well as untangle complex events through manual evaluation. We integrate the pseudogene annotations with the extensive ENCODE functional genomics information. In particular, we determine the expression level, transcription-factor and RNA polymerase II binding, and chromatin marks associated with each pseudogene. Based on their distribution, we develop simple statistical models for each type of activity, which we validate with large-scale RT-PCR-Seq experiments. Finally, we compare our pseudogenes with conservation and variation data from primate alignments and the 1000 Genomes project, producing lists of pseudogenes potentially under selection. At one extreme, some pseudogenes possess conventional characteristics of functionality; these may represent genes that have recently died. On the other hand, we find interesting patterns of partial activity, which may suggest that dead genes are being resurrected as functioning non-coding RNAs. The activity data of each pseudogene are stored in an associated resource, psiDR, which will be useful for the initial identification of potentially functional pseudogenes.
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         Chromatin Accessibility
         Automate Pipeline
         Functional Genomic Data
         Active Chromatin State
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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