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Considerations and complications of mapping small RNA high-throughput data to transposable elements

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F17%3A00095710" target="_blank" >RIV/00216224:14740/17:00095710 - isvavai.cz</a>

  • Result on the web

    <a href="https://mobilednajournal.biomedcentral.com/track/pdf/10.1186/s13100-017-0086-z?site=mobilednajournal.biomedcentral.com" target="_blank" >https://mobilednajournal.biomedcentral.com/track/pdf/10.1186/s13100-017-0086-z?site=mobilednajournal.biomedcentral.com</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13100-017-0086-z" target="_blank" >10.1186/s13100-017-0086-z</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Considerations and complications of mapping small RNA high-throughput data to transposable elements

  • Original language description

    Background: High-throughput sequencing (HTS) has revolutionized the way in which epigenetic research is conducted. When coupled with fully-sequenced genomes, millions of small RNA (sRNA) reads are mapped to regions of interest and the results scrutinized for clues about epigenetic mechanisms. However, this approach requires careful consideration in regards to experimental design, especially when one investigates repetitive parts of genomes such as transposable elements (TEs), or when such genomes are large, as is often the case in plants. Results: Here, in an attempt to shed light on complications of mapping sRNAs to TEs, we focus on the 2,300 Mb maize genome, 85% of which is derived from TEs, and scrutinize methodological strategies that are commonly employed in TE studies. These include choices for the reference dataset, the normalization of multiply mapping sRNAs, and the selection among sRNA metrics. We further examine how these choices influence the relationship between sRNAs and the critical feature of TE age, and contrast their effect on low copy genomic regions and other popular HTS data. Conclusions: Based on our analyses, we share a series of take-home messages that may help with the design, implementation, and interpretation of high-throughput TE epigenetic studies specifically, but our conclusions may also apply to any work that involves analysis of HTS data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10603 - Genetics and heredity (medical genetics to be 3)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mobile DNA

  • ISSN

    1759-8753

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    FEB

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    000397749300001

  • EID of the result in the Scopus database