Information on Bioinformatics, Biostatistics and Scientific Software Development

What are Bioinformatics about?

The interdisciplinary scientific field of Bioinformatics deals with the development of methods and software tools for storing, retrieving, organizing and analyzing biological data. Bioinformatics combine computer science, statistics, mathematics and engineering to study biological data and processes.

What are Biostatistics about?

Biostatistics is the branch of statistics responsible for the proper interpretation of scientific data generated in biology and the health sciences (i.e. the biomedical sciences). Biostatistics also play a crucial role in the proper design of biological experiments.

What is scientific software development?

Scientific Software Development deals with the development of software for the application of scientific methods on data.

Bioinformatics Databases

INSDC International Nucleotide Sequence Database Collaboration (Shared International Advisory Committee)
The International Nucleotide Sequence Database Collaboration consists of a joint effort to collect and disseminate databases containing DNA and RNA sequences.
ArrayExpress ArrayExpress – functional genomics data (European Bioinformatics Institute (EBI))
ArrayExpress Archive of Functional Genomics Data stores data from high-throughput functional genomics experiments, and provides these data for reuse to the research community.
GEO Gene Expression Omnibus (National Center for Biotechnology Information (NCBI))
GEO is a public functional genomics data repository supporting MIAME-compliant data submissions.
FlyBase FlyBase - A Database of Drosophila Genes & Genomes (FlyBase)
FlyBase is an online bioinformatics database and a primary repository of genetic and molecular data for the insect family Drosophilidae.
TAIR TAIR - The Arabidopsis Information Resource ( Arabidopsis Biological Resource Center at The Ohio State University)
The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana.
Sebastian Bassi
Python for Bioinformatics, Second Edition (Chapman & Hall/CRC Mathematical and Computational Biology), 2nd ed.
ISBN 1138035262
Vince Buffalo
Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
ISBN 1449367372
Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey
Getting Started with R: An Introduction for Biologists
ISBN 0198787847
Harvey Motulsky
Essential Biostatistics: A Nonmathematical Approach
ISBN 0199365067
Scientific Software Development
Christoph Höller
Angular: Das umfassende Handbuch zum JavaScript-Framework. Ab Angular 2
ISBN 3836239140
Joe Kuan
Learning Highcharts 4
ISBN 1783287454