Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes

نویسندگان

  • Yijuan Zhang
  • Oluwafemi S. Akintola
  • Ken J.A. Liu
  • Bingyun Sun
چکیده

This work includes the original data used to discover the gene ontology bias in transcriptomic analysis conducted by microarray and high throughput sequencing (Zhang et al., 2015) [1]. In the analysis, housekeeping genes were used to examine the differential detection ability by microarray and sequencing because these genes are probably the most reliably detected. The genes included here were compiled from 15 human housekeeping gene studies. The provided tables here comprise of detailed chromosomal location, detection breadth, normalized expression level, exon count, total exon length, and total intron length of each concerned gene and their related transcripts. We hope this information can help researchers better understand the differences in gene ontology-bias we discussed (Zhang et al., 2015) [1] and can encourage further improvement on these two technology platforms.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

PaGeFinder: quantitative identification of spatiotemporal pattern genes

UNLABELLED Pattern Gene Finder (PaGeFinder) is a web-based server for on-line detection of gene expression patterns from serial transcriptomic data generated by high-throughput technologies like microarray or next-generation sequencing. Three particular parameters, the specificity measure, the dispersion measure and the contribution measure, were introduced and implemented in PaGeFinder to help...

متن کامل

Identification, Sequencing and Stability Evaluation of Eight Reference Genes in Saffron (Crocus sativus L.)

Saffron (Crocus sativus L.) is the most valuable and expensive spice in the world. The stigmas of saffron are the source of valuable apocarotenoids such as crocin, picrocrocin and safranal. transcriptomic and expression studies of genes are important steps in investigating of secondary metabolites in plants. One of the important prerequisites for such studies is the existence of reliable and st...

متن کامل

تحلیل تصاویر ریزآرایه به منظور تشخیص نوع سرطان سینه

Background: Microarray technology is a powerful tool to study and analyze the behavior of thousands of genes simultaneously. Images of microarray have an important role in the detection and treatment of diseases. The aim of this study is to provide an automatic method for the extraction and analysis of microarray images to detect cancerous diseases. Methods: The proposed system consists of t...

متن کامل

تحلیل تصاویر ریزآرایه به منظور تشخیص نوع سرطان سینه

Background: Microarray technology is a powerful tool to study and analyze the behavior of thousands of genes simultaneously. Images of microarray have an important role in the detection and treatment of diseases. The aim of this study is to provide an automatic method for the extraction and analysis of microarray images to detect cancerous diseases. Methods: The proposed system consists of t...

متن کامل

Gene transcriptomic profile in arabidopsis thaliana mediated by radiation-induced bystander effects

Background: The in vivo radiation-induced bystander effects (RIBE) at the developmental, genetic, and epigenetic levels have been well demonstrated using model plant Arabidopsis thaliana (A. thaliana). However, the mechanisms underlying RIBE in plants are not clear, especially lacking a comprehensive knowledge about the genes and biological pathways involved in the RIBE in plants. Materials and...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2016