New Publication: SVA2 evolution Genes & Genomics 2014 – 17 November 2014
New Publication: Bat SINEs GBE 2015 Our study on SINEs in bats (genus Myotis) is published in GBE.
New Publication: Drosophila piRNA GBE 2014 – 28 October 2014
New Publication: SVA2 evolution Genes & Genomics 2014 Our study on SVA2 element evolution in primates is published in Genes & Genomics.
New Publication: Bat SINEs GBE 2015 – 28 October 2014
New Publication: Drosophila piRNA GBE 2014 Our study on fly piRNA and transposable element interactioin is published in GBE.
Tongji joined the lab – 28 September 2014
Tongji Xing joined our lab as a rotation studnet. Welcome Tongji!
Nan passed her defense. – 28 September 2014
Nan sucessfully defended her master thesis. Congratulation Nan!
New Publication: Tibetan high-altitude adaptation – 18 August 2014
Our study on the molecular mechanism of Tibetan high-altitude adaptation is published in Nature Genetics. You can also read the news release regarding the publication: 8,000-year-old mutation key to human life at high altitudes: Study identifies genetic basis for Tibetan adaptation.
New Publication: Marmoset Genome – 22 July 2014
Our study on the marmoset genome is published in Nature Genetics.
New Publication: human piRNA BMC Genomics 2014 – 01 July 2014
Our study on human piRNAs is published in BMC Genomics.
New Publication: pedigree VAAST 2014 – 20 May 2014
The pedigree VAAST paper is published in Nature Biotechnology.
New Publication: Tibetan Macaque Genome 2014 – 19 March 2014
Our study on the Tibetan macaque genome is published in MBE. Whole genome sequencing of Tibetan macaque (Macaca thibetana) provides new insight into the macaque evolutionary history
New Publication: High-altitude adaptation in Tibetans 2014 – 21 January 2014
Our study on high-altitude adaptation in Tibetans is published. Shared and Unique Signals of High-Altitude Adaptation in Geographically Distinct Tibetan Populations
New Publication: Wang and Xing, Genomics Inform. 2013 – 21 January 2014
Our invited review paper is up now: A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data Shuoguo Wang, and Jinchuan Xing Abstract High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification. A copy can be downloaded here: http://genominfo.org/Synapse/Data/PDFData/0117GNI/gni-11-191.pdf Updated by SW