Literature DB >> 16685403

Current bioinformatics tools in genomic biomedical research (Review).

Andreas Teufel1, Markus Krupp, Arndt Weinmann, Peter R Galle.   

Abstract

On the advent of a completely assembled human genome, modern biology and molecular medicine stepped into an era of increasingly rich sequence database information and high-throughput genomic analysis. However, as sequence entries in the major genomic databases currently rise exponentially, the gap between available, deposited sequence data and analysis by means of conventional molecular biology is rapidly widening, making new approaches of high-throughput genomic analysis necessary. At present, the only effective way to keep abreast of the dramatic increase in sequence and related information is to apply biocomputational approaches. Thus, over recent years, the field of bioinformatics has rapidly developed into an essential aid for genomic data analysis and powerful bioinformatics tools have been developed, many of them publicly available through the World Wide Web. In this review, we summarize and describe the basic bioinformatics tools for genomic research such as: genomic databases, genome browsers, tools for sequence alignment, single nucleotide polymorphism (SNP) databases, tools for ab initio gene prediction, expression databases, and algorithms for promoter prediction.

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Year:  2006        PMID: 16685403

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  11 in total

1.  Searching for new genetic variations in expression databases for the GABAergic and glutamatergic systems.

Authors:  Manuela Barbosa Rodrigues de Souza; João Ricardo Mendes de Oliveira
Journal:  J Mol Neurosci       Date:  2012-04-22       Impact factor: 3.444

2.  New take on comparative immunology: relevance to immunotherapy.

Authors:  Ena Wang; Adriana Albini; David F Stroncek; Francesco M Marincola
Journal:  Immunotherapy       Date:  2009-05       Impact factor: 4.196

3.  Trends in meta-analysis of genetic association studies.

Authors:  Elias Zintzaras; Joseph Lau
Journal:  J Hum Genet       Date:  2007-12-12       Impact factor: 3.172

Review 4.  Hypothesis-driven candidate gene association studies: practical design and analytical considerations.

Authors:  Timothy J Jorgensen; Ingo Ruczinski; Bailey Kessing; Michael W Smith; Yin Yao Shugart; Anthony J Alberg
Journal:  Am J Epidemiol       Date:  2009-09-17       Impact factor: 4.897

5.  The Online Bioinformatics Resources Collection at the University of Pittsburgh Health Sciences Library System--a one-stop gateway to online bioinformatics databases and software tools.

Authors:  Yi-Bu Chen; Ansuman Chattopadhyay; Phillip Bergen; Cynthia Gadd; Nancy Tannery
Journal:  Nucleic Acids Res       Date:  2006-11-15       Impact factor: 16.971

6.  Mesoscopic model and free energy landscape for protein-DNA binding sites: analysis of cyanobacterial promoters.

Authors:  Rafael Tapia-Rojo; Juan José Mazo; José Ángel Hernández; María Luisa Peleato; María F Fillat; Fernando Falo
Journal:  PLoS Comput Biol       Date:  2014-10-02       Impact factor: 4.475

7.  Comprehensive Statistical and Bioinformatics Analysis in the Deciphering of Putative Mechanisms by Which Lipid-Associated GWAS Loci Contribute to Coronary Artery Disease.

Authors:  Victor Lazarenko; Mikhail Churilin; Iuliia Azarova; Elena Klyosova; Marina Bykanova; Natalia Ob'edkova; Mikhail Churnosov; Olga Bushueva; Galina Mal; Sergey Povetkin; Stanislav Kononov; Yulia Luneva; Sergey Zhabin; Anna Polonikova; Alina Gavrilenko; Igor Saraev; Maria Solodilova; Alexey Polonikov
Journal:  Biomedicines       Date:  2022-01-25

8.  Molecular genomic approaches to infectious diseases in resource-limited settings.

Authors:  Josefina Coloma; Eva Harris
Journal:  PLoS Med       Date:  2009-10-26       Impact factor: 11.069

9.  An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions.

Authors:  Shizuka Uchida; André Schneider; Marion Wiesnet; Benno Jungblut; Polina Zarjitskaya; Katharina Jenniches; Karsten Grosse Kreymborg; Werner Seeger; Thomas Braun
Journal:  BMC Genomics       Date:  2009-03-06       Impact factor: 3.969

Review 10.  Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry.

Authors:  Tapan Behl; Ishnoor Kaur; Aayush Sehgal; Sukhbir Singh; Saurabh Bhatia; Ahmed Al-Harrasi; Gokhan Zengin; Elena Emilia Babes; Ciprian Brisc; Manuela Stoicescu; Mirela Marioara Toma; Cristian Sava; Simona Gabriela Bungau
Journal:  Int J Mol Sci       Date:  2021-06-08       Impact factor: 5.923

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