Literature DB >> 30010394

DNA microarray technology and bioinformatic web services.

Payam Behzadi1, Reza Ranjbar2.   

Abstract

The pan-genomic microarray technique is used for environmental and/or clinical studies. Although microarray is an accurate and sharp diagnostic tool, the expertized bioinformaticians were able to minimize the outcome biases and maximize the flexibility and accuracy of the technique. The knowledge of bioinformatics plays a key role in association with probe designing and the utilization of correct probe sets and platforms. This technique is divided into two parts as dry lab (in silico studies) and wet lab (in vitro studies). Each part covers the other and are known as complementary divisions. In the case of microarray probe designing, a wide range of software, tools, and databases are necessary. Obviously, the application of right databases, software, and tools decreases the probable biases in the outcomes. Due to the importance of suitable probe designing, this article has focused its look onto a variety of online/offline databases, software, and tools.

Keywords:  bioinformatics; computational molecular biology; database; microarray

Mesh:

Substances:

Year:  2018        PMID: 30010394     DOI: 10.1556/030.65.2018.028

Source DB:  PubMed          Journal:  Acta Microbiol Immunol Hung        ISSN: 1217-8950            Impact factor:   2.048


  9 in total

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Journal:  Cancers (Basel)       Date:  2022-07-04       Impact factor: 6.575

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Journal:  Front Aging Neurosci       Date:  2022-08-18       Impact factor: 5.702

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7.  The detection of urinary viruses is associated with aggravated symptoms and altered bacteriome in female with overactive bladder.

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Journal:  Front Microbiol       Date:  2022-09-23       Impact factor: 6.064

8.  Construction of Adipogenic ceRNA Network Based on lncRNA Expression Profile of Adipogenic Differentiation of Human MSC Cells.

Authors:  Chengcheng Liang; Sayed Haidar Abbas Raza; Muhammad Abuzar Raza Naqvi; Yanrong Feng; Rajwali Khan; Zuhair M Mohammedsaleh; Abdullah F Shater; Bassam M Al-Ahmadi; Fayez M Saleh; Muhammad Ahsan Bilal; Linsen Zan
Journal:  Biochem Genet       Date:  2021-07-24       Impact factor: 1.890

Review 9.  An in silico analysis of acquired antimicrobial resistance genes in Aeromonas plasmids.

Authors:  Ogueri Nwaiwu; Chiugo Claret Aduba
Journal:  AIMS Microbiol       Date:  2020-03-16
  9 in total

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