نتایج جستجو برای: bioinformatics analysis

تعداد نتایج: 2839846  

Journal: :Methods in molecular biology 2011
Yongliang Yang S James Adelstein Amin I Kassis

The exponential growth of high-throughput Omics data has provided an unprecedented opportunity for new target identification to fuel the dried-up drug discovery pipeline. However, the bioinformatics analysis of large amount and heterogeneous Omics data has posed a great deal of technical challenges for experimentalists who lack statistical skills. Moreover, due to the complexity of human diseas...

2013
David Schibeci Matthew Bellgard

The rapid explosion in the amount of biological data being generated worldwide is outpacing efforts to manage the analysis of the data. Bioinformatics researchers wishing to perform analysis on molecular data have a plethora of local and Internet-based tools available to perform different data analysis, but as researchers often wish to analyze and reanalyze data in a manageable, intuitive way, ...

Journal: :Journal of Biomedicine and Biotechnology 2003
Manuela Pruess Rolf Apweiler

In the growing field of proteomics, tools for the in silico analysis of proteins and even of whole proteomes are of crucial importance to make best use of the accumulating amount of data. To utilise this data for healthcare and drug development, first the characteristics of proteomes of entire species-mainly the human-have to be understood, before secondly differentiation between individuals ca...

Journal: :Methods in molecular biology 2009
Craig E Wheelock Susumu Goto Laxman Yetukuri Fabio Luiz D'Alexandri Christian Klukas Falk Schreiber Matej Oresic

Owing to their importance in cellular physiology and pathology as well as to recent technological advances, the study of lipids has reemerged as a major research target. However, the structural diversity of lipids presents a number of analytical and informatics challenges. The field of lipidomics is a new postgenome discipline that aims to develop comprehensive methods for lipid analysis, neces...

Journal: :Brazilian Journal of Pharmaceutical Sciences 2011

2014
Michelle D. Brazas Fran Lewitter Maria Victoria Schneider Celia W. G. van Gelder Patricia M. Palagi

1 Ontario Institute for Cancer Research, Toronto, Canada, 2 Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, United States of America, 3 The Genome Analysis Centre, Norwich, United Kingdom, 4 Netherlands Bioinformatics Centre and Department of Bioinformatics, Radboud Medical Center, Nijmegen, The Netherlands, 5 SIB Swiss Institute of Bioinformatics,...

Journal: :Current opinion in biotechnology 2002
N Goodman

Bioinformatics is an art and science concerned with the use of computing in biological research areas such as genomics, transcriptomics, proteomics, genetics, and evolution. This review paints a broad picture of bioinformatics, drawing examples from genomic sequencing and microarray analysis. I highlight the role of bioinformatics at multiple points along the path from high-tech data generation...

Journal: :Nucleic acids research 2003
Laurent Falquet Lorenza Bordoli Vassilios Ioannidis Marco Pagni C. Victor Jongeneel

EMBnet is a consortium of collaborating bioinformatics groups located mainly within Europe (http://www.embnet.org). Each member country is represented by a 'node', a group responsible for the maintenance of local services for their users (e.g. education, training, software, database distribution, technical support, helpdesk). Among these services a web portal with links and access to locally de...

Journal: :Bioinformatics 2011
Simon Roux Michaël Faubladier Antoine Mahul Nils Paulhe Aurélien Bernard Didier Debroas François Enault

SUMMARY Metavir is a web server dedicated to the analysis of viral metagenomes (viromes). In addition to classical approaches for analyzing metagenomes (general sequence characteristics, taxonomic composition), new tools developed specifically for viral sequence analysis make it possible to: (i) explore viral diversity through automatically constructed phylogenies for selected marker genes, (ii...

2016
Carmen Maria Livi Petr Klus Riccardo Delli Ponti Gian Gaetano Tartaglia

Motivation: Recent technological advances revealed that an unexpected large number of proteins interact with transcripts even if the RNA-binding domains are not annotated. We introduce catRAPID signature to identify ribonucleoproteins based on physico-chemical features instead of sequence similarity searches. The algorithm, trained on human proteins and tested on model organisms, calculates the...

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