“Microbial Informatics and Experimentation (MIE) is a journal about computers and microbes”, say the
their inaugural Editorial, satisfying the need for a “new journal to fill a gap for which there is no publication avenue
that is particularly geared to computationally-oriented, strongly
biologically-motivated, pragmatic articles focused on microbes”.
As such, MIE publishes high-quality research related to the application of
computational methods to data from microbial organisms and systems. The journal
covers a wide range of topics, from microbial systems biology to metagenomics.
today with a number of interesting research articles, including a new tool for
the single nucleotide-level analysis of whole viral genome alignments (Hillary et al.), computational analysis of
the regulatory network of P. aeruginosa
(Galan-Vasquez et al.), and a method to predict metabolomic
turnover in metagenomic datasets (Larsen et
In a Letter to the Editor, Gilbert et al. also highlight the importance of
metagenomics surveys in the rapidly evolving science of microbial ecology. The
study of metagenomes, genetic material isolated directly from the environment,
can provide a wealth of information, allowing the functional and taxonomic analysis
of microbial communities in ecosystems.