TY - GEN
T1 - xIP-seq platform
T2 - 2009 Ohio Collaborative Conference on Bioinformatics, OCCBIO 2009
AU - Wang, Xin
AU - Teng, Mingxiang
AU - Wang, Guohua
AU - Zhao, Yuming
AU - Han, Xu
AU - Feng, Weixing
AU - Li, Lang
AU - Sanford, Jeremy
AU - Liu, Yunlong
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2009
Y1 - 2009
N2 - We report an integrative bioinformatic platform for next-generation sequencing data analysis, xIP-seq, which is built on GenePattern package. The purpose for this tool is to provide analysis pipelines for data derived from next-generation sequencing following a variety of experiments using immunoprecipitation, such as ChIP-seq (chromatin immunoprecipitation following sequencing) for analysis of DNA binding protein, CLIP-seq (cross-linking immunoprecipitation following sequencing) for analysis of RNA binding protein, and MeDIP-seq (methylation DNA immunoprecipitation following sequencing) for DNA methylation profiles. xIP-seq platform provides standardized data pre-processing workflows which prepare raw data from various sequencing platforms for further analysis, and several bioinformatic applications including sequence annotation and analysis of Pol II binding pattern and histone modification.. The tertiary module for sequence annotation is particularly discussed. xIP-seq also allows users to construct new analysis pipelines tailored for individual biological interests by employing currently available modules or creating new ones. As an example, a "CLIP-seq Mapper" pipeline is created to map CLIP-seq-derived data to human genome to identify the genome-wide annotation of SFRS1 binding pattern. This implementation demonstrates the significance of xIP-seq platform to analyze massive amounts of next-generation sequencing data and provide automatic, flexible, and intelligent enterprise-level bioinformatic solutions. Availability: http://watson.compbio. iupui.edu:8081/gp. © 2009 IEEE.
AB - We report an integrative bioinformatic platform for next-generation sequencing data analysis, xIP-seq, which is built on GenePattern package. The purpose for this tool is to provide analysis pipelines for data derived from next-generation sequencing following a variety of experiments using immunoprecipitation, such as ChIP-seq (chromatin immunoprecipitation following sequencing) for analysis of DNA binding protein, CLIP-seq (cross-linking immunoprecipitation following sequencing) for analysis of RNA binding protein, and MeDIP-seq (methylation DNA immunoprecipitation following sequencing) for DNA methylation profiles. xIP-seq platform provides standardized data pre-processing workflows which prepare raw data from various sequencing platforms for further analysis, and several bioinformatic applications including sequence annotation and analysis of Pol II binding pattern and histone modification.. The tertiary module for sequence annotation is particularly discussed. xIP-seq also allows users to construct new analysis pipelines tailored for individual biological interests by employing currently available modules or creating new ones. As an example, a "CLIP-seq Mapper" pipeline is created to map CLIP-seq-derived data to human genome to identify the genome-wide annotation of SFRS1 binding pattern. This implementation demonstrates the significance of xIP-seq platform to analyze massive amounts of next-generation sequencing data and provide automatic, flexible, and intelligent enterprise-level bioinformatic solutions. Availability: http://watson.compbio. iupui.edu:8081/gp. © 2009 IEEE.
KW - Bioinformatics
KW - GenePattern
KW - Module
KW - Next generation sequencing
KW - Pipeline
KW - Sequencing
UR - http://www.scopus.com/inward/record.url?scp=70350393821&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-70350393821&origin=recordpage
U2 - 10.1109/OCCBIO.2009.20
DO - 10.1109/OCCBIO.2009.20
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780769536859
T3 - OCCBIO'09: 2009 Ohio Collaborative Conference on Bioinformatics
SP - 26
EP - 31
BT - OCCBIO'09: 2009 Ohio Collaborative Conference on Bioinformatics
Y2 - 15 June 2009 through 17 June 2009
ER -