Literature DB >> 8987456

Bioinformatics--principles and potential of a new multidisciplinary tool.

D Benton1.   

Abstract

The materials of bioinformatics are biological data, and its methods are derived from a wide variety of computational techniques. Recent years have seen an explosive growth in biological data, and the development of novel computational methods. These methods have become essential to research progress in structural biology, genomics, structure-based drug design and molecular evolution. The development and maintenance of a robust infrastructure of biological data is of equal importance if biotechnology is to take maximum advantage of research advances in a wide variety of fields. While bioinformatics has already made important contributions, it faces significant challenges as it matures.

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Year:  1996        PMID: 8987456     DOI: 10.1016/0167-7799(96)10037-8

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  9 in total

Review 1.  Science, medicine, and the future: Bioinformatics.

Authors:  Ardeshir Bayat
Journal:  BMJ       Date:  2002-04-27

2.  B-SPID: an object-relational database architecture to store, retrieve, and manipulate neuroimaging data.

Authors:  B Diallo; F Dolidon; J M Travere; B Mazoyer
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

Review 3.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

4.  Improved pattern for genome-based screening identifies novel cell wall-attached proteins in gram-positive bacteria.

Authors:  R Janulczyk; M Rasmussen
Journal:  Infect Immun       Date:  2001-06       Impact factor: 3.441

5.  Providing visualisation support for the analysis of anatomy ontology data.

Authors:  Aba-Sah Dadzie; Albert Burger
Journal:  BMC Bioinformatics       Date:  2005-03-24       Impact factor: 3.169

6.  Feature extraction method for proteins based on Markov tripeptide by compressive sensing.

Authors:  C F Gao; X Y Wu
Journal:  BMC Bioinformatics       Date:  2018-06-18       Impact factor: 3.169

7.  Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling.

Authors:  Marco Chierici; Nicole Bussola; Alessia Marcolini; Margherita Francescatto; Alessandro Zandonà; Lucia Trastulla; Claudio Agostinelli; Giuseppe Jurman; Cesare Furlanello
Journal:  Front Oncol       Date:  2020-06-30       Impact factor: 6.244

8.  Teaching the fundamentals of biological data integration using classroom games.

Authors:  Maria Victoria Schneider; Rafael C Jimenez
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

9.  Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry.

Authors:  Naheed N Kaderbhai; David I Broadhurst; David I Ellis; Royston Goodacre; Douglas B Kell
Journal:  Comp Funct Genomics       Date:  2003
  9 in total

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