<![CDATA[BOL: SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms]]> https://bioinformaticsonline.com/bookmarks/view/36827/sex-detector-a-probabilistic-approach-to-study-sex-chromosomes-in-non-model-organisms? https://bioinformaticsonline.com/bookmarks/view/36827/sex-detector-a-probabilistic-approach-to-study-sex-chromosomes-in-non-model-organisms Wed, 30 May 2018 15:57:31 -0500 https://bioinformaticsonline.com/bookmarks/view/36827/sex-detector-a-probabilistic-approach-to-study-sex-chromosomes-in-non-model-organisms <![CDATA[SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms]]> SEX-DETector is a probabilistic method that relies on RNAseq data from a cross (parents and progeny of each sex) to infer autosomal and sex-linked genes (genes located on the non recombining part of sex chromosomes).

How does SEX-DETector work?

SEX-DETector does not require prior sequencing of a reference genome: the same sequencing data can be used for the assembly and for the mapping of the reads. A full documentation on the pipeline can be found here.

  • we recommend Trinity for the assembly.
  • Trinity components should be merged with cap3. Our code to perform the merging is available here.
  • We recommend BWA for mapping of the reads.
  • When the mapping has been perfomed, the individuals need to be genotyped; SEX-DETector takes files produced by Reads2snp (which is available for download on the PopPhyl website) as input.

Address of the bookmark: http://lbbe.univ-lyon1.fr/-SEX-DETector-.html?lang=eg

]]> Surabhi Chaudhary