Fully automated pipeline for detection of sex linked genes using RNA-Seq data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081707%3A_____%2F15%3A00446325" target="_blank" >RIV/68081707:_____/15:00446325 - isvavai.cz</a>

Alternative codes found

RIV/61389030:_____/15:00446325

Result on the web

<a href="http://dx.doi.org/10.1186/s12859-015-0509-0" target="_blank" >http://dx.doi.org/10.1186/s12859-015-0509-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12859-015-0509-0" target="_blank" >10.1186/s12859-015-0509-0</a>

Result language

angličtina

Original language name

Fully automated pipeline for detection of sex linked genes using RNA-Seq data

Original language description

Background: Sex chromosomes present a genomic region which to some extent, differs between the genders of a single species. Reliable high-throughput methods for detection of sex chromosomes specific markers are needed, especially in species where genomeinformation is limited. Next generation sequencing (NGS) opens the door for identification of unique sequences or searching for nucleotide polymorphisms between datasets. A combination of classical genetic segregation analysis along with RNA-Seq data canpresent an ideal tool to map and identify sex chromosome-specific expressed markers. To address this challenge, we established genetic cross of dioecious plant Rumex acetosa and generated RNA-Seq data from both parental generation and male and female offspring. Results: We present a pipeline for detection of sex linked genes based on nucleotide polymorphism analysis. In our approach, tracking of nucleotide polymorphisms is carried out using a cross of preferably distant populations.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BO - Biophysics

OECD FORD branch

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Project

<a href="/en/project/GBP501%2F12%2FG090" target="_blank" >GBP501/12/G090: Evolution and Function of Complex Plant Genomes</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Name of the periodical

B M C Bioinformatics

ISSN

1471-2105

e-ISSN

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Volume of the periodical

16

Issue of the periodical within the volume

78

Country of publishing house

GB - UNITED KINGDOM

Number of pages

8

Pages from-to

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UT code for WoS article

000351341600001

EID of the result in the Scopus database

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