Supplementary material for TissueInfo

TissueInfo: high-throughput identification of tissue expression profiles and specificity.

This page offers the data sets we used to evaluate TissueInfo. This information is freely available so that others can use it to verify the evaluation of our method, or benchmark new methods under the same conditions.

Additional information, such as licensing information, documentation (for both end-users and developers who wish to reuse TissueInfo) is available from our Institute's Computational Research Tool Directory.

The evaluation data set is given in the table below. The data is offered in two formats. HTML format is suitable for browsing the information. XML files are suitable for parsing the information with computational tools. Each row of the table contains groups of gene extracted from SWISS-PROT such that they are likely to be specific to the tissue shown in the first column. The exact procedure used to extract these genes from SWISS-PROT is described in more detail in the paper.

Evaluation data
TissueInfo records
Reports
brain
HTML XML Mineset: data, schema Excel: xls report
liver
HTML XML Mineset: data, schema Excel: xls report
kidney
HTML XML Mineset: data, schema Excel: xls report
pancreas
HTML XML Mineset: data, schema Excel: xls report

During the evaluation, we found 25 SWISS-PROT entries which did not agree with the primary literature that they reference (i.e. tissue specificity annotations were misleading, inaccurate, or inconsistent when compared to the articles referenced by the entry.) The accession numbers of these entries are:

2A5B ATF2 BACE BASP BIEA BIR6 CHLR CRF1 DLG4 EAT1 FETB FMO1 FMO5 GP37 GSHG GSUB HMCM I5P1 NPT2 P2Y4 PGCV QOR RSMN SN25 V2R

Each accession number is linked to a text view of the SWISS-PROT entry obtained at the time we did the evaluation. This table identifies the inconsistencies or inaccuracies found in each of these entries.

News
Jul, 2009; ChIPseeqer, a comprehensive framework for analysis of ChIP-seq data developed in the Elemento lab, is now available for download. [More]
Apr, 2009; The BDVal program developed by the Campagne laboratory for MAQC-II is now available from http://bdval.org. The software supports the development and evaluation of predictive biomarker models from high-throughput data. The web site offers binary and source distributions. [More]
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