Bioinformatics

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using computational and statistical techniques.
Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim to better understand the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organizational principles within nucleic acid and protein sequences, called proteomics.
Image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. It plays a role in the text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in comparing, analyzing and interpreting genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology. In structural biology, it aids in the simulation and modeling of DNA, RNA, proteins as well as biomolecular interactions. Historically, the term bioinformatics did not mean what it means today. Paulien Hogeweg and Ben Hesper coined it in 1970 to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biochemistry (the study of chemical processes in biological systems).

Introduction to bioinformatics
Introduction to bioinformatics
Bioinformatics
0
1052
English
Arthur Mallay Lesk
Introduction to bioinformatics book pdf by Arthur Mallay Lesk
Mastering Python for Bioinformatics
Mastering Python for Bioinformatics
Bioinformatics
5.0
775
English
Ken Youens Clark
C
Mastering Python for Bioinformatics book pdf by Ken Youens Clark
Reproducible Bioinformatics with Python
Reproducible Bioinformatics with Python
Bioinformatics
0
723
English
Ken Youens Clark
Reproducible Bioinformatics with Python book pdf by Ken Youens Clark
Introduction to Genomics
Introduction to Genomics
Bioinformatics
0
722
English
Arthur Mallay Lesk
Introduction to Genomics book pdf by Arthur Mallay Lesk
Bioinformatics and Functional Genomics
Bioinformatics and Functional Genomics
Bioinformatics
0
611
English
Jonathan Pevsner
Bioinformatics and Functional Genomics book pdf by Jonathan Pevsner
Bioinformatics: Sequence and Genome Analysis
Bioinformatics: Sequence and Genome Analysis
Bioinformatics
0
603
English
David Mount
Bioinformatics: Sequence and Genome Analysis book pdf by David Mount
Introduction to Protein Science: Architecture, Function, and Genomics
Introduction to Protein Science: Architecture, Function, and Genomics
Bioinformatics
0
583
English
Arthur Mallay Lesk
Introduction to Protein Science: Architecture, Function, and Genomics book pdf by Arthur Mallay Lesk
Introduction to Protein Architecture: The Structural Biology of Proteins
Introduction to Protein Architecture: The Structural Biology of Proteins
Bioinformatics
0
577
English
Arthur Mallay Lesk
Introduction to Protein Architecture: The Structural Biology of Proteins book pdf by Arthur Mallay Lesk
Database Annotation in Molecular Biology: Principles and Practice
Database Annotation in Molecular Biology: Principles and Practice
Bioinformatics
0
575
English
Arthur Mallay Lesk
Database Annotation in Molecular Biology: Principles and Practice book pdf by Arthur Mallay Lesk
Regulatory RNA
Regulatory RNA
Bioinformatics
0
469
English
Thomas Dandekar
Regulatory RNA book pdf by Thomas Dandekar
RNA Motifs and Regulatory Elements
RNA Motifs and Regulatory Elements
Bioinformatics
0
419
English
Thomas Dandekar
RNA Motifs and Regulatory Elements book pdf by Thomas Dandekar
Bioinformatics: An Introductory Textbook
Bioinformatics: An Introductory Textbook
Bioinformatics
0
409
English
Thomas Dandekar
Bioinformatics: An Introductory Textbook book pdf by Thomas Dandekar