FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2050600492> ?p ?o ?g. }

• W2050600492 endingPage "301" @default.
• W2050600492 startingPage "294" @default.
• W2050600492 abstract "The current state of human genetic studies is both a marvel and a morass. A marvel in that with the completion of the human genome sequence, projects that used to take years now take months or weeks; however, this creates a wealth of data concomitant to a black hole of meaning. In terms of the well used analogy: the human genome sequence is a library in an ancient language with no Rosetta stone. Researchers have readily exploited the human genome map and thousands of candidate gene studies for a multitude of diseases have been performed. However, many of those studies have found that the variants associated with disease risk are not obvious coding changes. The question now becomes: what do these associations mean? One approach to the downstream mapping of associations is to use additional information to map which variant might truly be causative of risk and what that risk variant is doing. This review will summarize the current state of both data set collection and analysis for the understanding of DNA variants and their downstream effects on transcripts and proteins. This article is part of a Special Issue entitled ‘Transcriptome’." @default.
• W2050600492 created "2016-06-24" @default.
• W2050600492 creator A5021195592 @default.
• W2050600492 date "2012-07-01" @default.
• W2050600492 modified "2023-09-23" @default.
• W2050600492 title "The age of the “ome”: Genome, transcriptome and proteome data set collection and analysis" @default.
• W2050600492 cites W1544923801 @default.
• W2050600492 cites W1969296365 @default.
• W2050600492 cites W1981509058 @default.
• W2050600492 cites W1988857521 @default.
• W2050600492 cites W1990343281 @default.
• W2050600492 cites W2008395997 @default.
• W2050600492 cites W2008599922 @default.
• W2050600492 cites W2011633018 @default.
• W2050600492 cites W2016928634 @default.
• W2050600492 cites W2019196704 @default.
• W2050600492 cites W2025940841 @default.
• W2050600492 cites W2037118151 @default.
• W2050600492 cites W2037837681 @default.
• W2050600492 cites W2043842514 @default.
• W2050600492 cites W2059742736 @default.
• W2050600492 cites W2060181803 @default.
• W2050600492 cites W2060705109 @default.
• W2050600492 cites W2065304353 @default.
• W2050600492 cites W2067245109 @default.
• W2050600492 cites W2074270215 @default.
• W2050600492 cites W2090808827 @default.
• W2050600492 cites W2092902275 @default.
• W2050600492 cites W2095293504 @default.
• W2050600492 cites W2096192437 @default.
• W2050600492 cites W2100187227 @default.
• W2050600492 cites W2101889545 @default.
• W2050600492 cites W2103017472 @default.
• W2050600492 cites W2105696555 @default.
• W2050600492 cites W2107018762 @default.
• W2050600492 cites W2108058966 @default.
• W2050600492 cites W2113649367 @default.
• W2050600492 cites W2119345428 @default.
• W2050600492 cites W2121211805 @default.
• W2050600492 cites W2125698969 @default.
• W2050600492 cites W2126531896 @default.
• W2050600492 cites W2130907138 @default.
• W2050600492 cites W2131847331 @default.
• W2050600492 cites W2141425631 @default.
• W2050600492 cites W2142260323 @default.
• W2050600492 cites W2144595794 @default.
• W2050600492 cites W2145090915 @default.
• W2050600492 cites W2152285853 @default.
• W2050600492 cites W2154431984 @default.
• W2050600492 cites W2154998360 @default.
• W2050600492 cites W2155804510 @default.
• W2050600492 cites W2162142896 @default.
• W2050600492 cites W2164507782 @default.
• W2050600492 cites W2169002484 @default.
• W2050600492 cites W2171209110 @default.
• W2050600492 cites W52905296 @default.
• W2050600492 doi "https://doi.org/10.1016/j.brainresbull.2011.11.015" @default.
• W2050600492 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22142972" @default.
• W2050600492 hasPublicationYear "2012" @default.
• W2050600492 type Work @default.
• W2050600492 sameAs 2050600492 @default.
• W2050600492 citedByCount "14" @default.
• W2050600492 countsByYear W20506004922012 @default.
• W2050600492 countsByYear W20506004922014 @default.
• W2050600492 countsByYear W20506004922015 @default.
• W2050600492 countsByYear W20506004922017 @default.
• W2050600492 countsByYear W20506004922018 @default.
• W2050600492 countsByYear W20506004922020 @default.
• W2050600492 countsByYear W20506004922021 @default.
• W2050600492 countsByYear W20506004922022 @default.
• W2050600492 countsByYear W20506004922023 @default.
• W2050600492 crossrefType "journal-article" @default.
• W2050600492 hasAuthorship W2050600492A5021195592 @default.
• W2050600492 hasConcept C104317684 @default.
• W2050600492 hasConcept C104397665 @default.
• W2050600492 hasConcept C141231307 @default.
• W2050600492 hasConcept C150194340 @default.
• W2050600492 hasConcept C162317418 @default.
• W2050600492 hasConcept C197077220 @default.
• W2050600492 hasConcept C2522767166 @default.
• W2050600492 hasConcept C41008148 @default.
• W2050600492 hasConcept C54355233 @default.
• W2050600492 hasConcept C70721500 @default.
• W2050600492 hasConcept C86803240 @default.
• W2050600492 hasConceptScore W2050600492C104317684 @default.
• W2050600492 hasConceptScore W2050600492C104397665 @default.
• W2050600492 hasConceptScore W2050600492C141231307 @default.
• W2050600492 hasConceptScore W2050600492C150194340 @default.
• W2050600492 hasConceptScore W2050600492C162317418 @default.
• W2050600492 hasConceptScore W2050600492C197077220 @default.
• W2050600492 hasConceptScore W2050600492C2522767166 @default.
• W2050600492 hasConceptScore W2050600492C41008148 @default.
• W2050600492 hasConceptScore W2050600492C54355233 @default.
• W2050600492 hasConceptScore W2050600492C70721500 @default.
• W2050600492 hasConceptScore W2050600492C86803240 @default.
• W2050600492 hasFunder F4320337337 @default.
• W2050600492 hasIssue "4" @default.
• W2050600492 hasLocation W20506004921 @default.

• next