Human Polymorphic Inversion DataBase

Welcome to the InvFEST database!

InvFEST aims to become a reference site to share information and collaborate towards the complete characterization of human polymorphic inversions. It is a data-warehouse implementation that integrates several data of interest related to inversions with an online analytical processing engine (OLAP) to gather information and compute a report of each inversion.

The InvFEST database stores and merges inversion predictions from healthy individuals into a non-redundant dataset by overlapping the position of the breakpoints of each prediction and taking into account the resolution of each study. Most predictions come from mapping information of paired-end sequences (PEM) obtained by different studies of the literature, which in some cases have been reanalyzed by GRIAL, a program specifically designed to detect inversions from PEM data. Moreover, it stores information of validations and genotyping assays, frequency in different populations, association with genes and segmental duplications, and the evolutionary history of the inversions.

The database will keep on updating information by incorporating new predictions, validations, genotyping data, and any other information, either extracted from peer reviewed research studies or generated in our lab. We always welcome your suggestions and comments.

The InvFEST database is an outcome of the INVFEST project, supported by the European Research Council (ERC) Starting Grant 243212 under the European Union Seventh Research Framework Programme (FP7).


News

12-11-2018
  New InvFEST 2.0 release with 727 additional inversions
10-05-2018
  New inversion frequency worldwide maps now available
21-06-2015
  Batch query option is now available on the search page!
25-11-2014
  Breakpoints annotation powered by BreakSeq

How to cite

If you use InvFEST, please cite:

Martínez-Fundichely, A. et al. InvFEST, a database integrating information of polymorphic inversions in the human genome. Nucleic Acids Research 42, (2014). doi:10.1093/nar/gkt1122

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