Computational Methods for the Analysis of Genomic Data and Biological Processes

Computational Methods for the Analysis of Genomic Data and Biological Processes

Computational Methods
Genomic
Data
Biology

Today, new technologies, such as microarrays or high-performance sequencing, are producing
more and more genomic data. This fact has brought new opportunities and challenges in the fields
of computational biology and bioinformatics, since this huge number of data need to be analysed in
order to be exploited.
In this context, new computational methods and tools, such as machine learning approaches or
gene expression analysis tools, could provide the solution to such issues.
The overall aim of this Special Issue is to compile the latest research and developments in the
field of computational methods for the analysis of gene expression data and, in particular, with the
modelling of biological processes.

Francisco A. G´omez Vela (Ed.)
Federico Divina (Ed.)
Miguel Garc´ıa-Torres (Ed.)

https://www.mdpi.com/journal/genes/special issues/comput_genetics

MDPI
St. Alban-Anlage 66
4052 Basel, Switzerland

2020

Francisco A. G´omez Vela
Federico Divina
Miguel Garc´ıa-Torres
J®F

CC BY-NC-ND.

PDF

English

Textbooks

ISBN 978-3-03943-771-9 (Hbk); ISBN 978-3-03943-772-6 (PDF)
https://doi.org/10.3390/books978-3-03943-772-6