Correction to: Proximity ligation scaffolding and comparison of two strains genomes.

[This corrects the article DOI: 10.1186/s13068-017-0837-6.].

Proximity ligation scaffolding and comparison of two strains genomes.

Background: The presence of low complexity and repeated regions in genomes often results in difficulties to assemble sequencing data into full chromosomes. However, the availability of full genome scaffolds is essential to several investigations, regarding for instance the evolution of entire clades, the analysis of chromosome rearrangements, and is pivotal to sexual crossing studies. In non-conventional but industrially relevant model organisms, such as the ascomycete , a complete genome assembly is seldom available.

Kinetic transcriptome analysis reveals an essentially intact induction system in a cellulase hyper-producer Trichoderma reesei strain.

Background: The filamentous fungus Trichoderma reesei is the main industrial cellulolytic enzyme producer. Several strains have been developed in the past using random mutagenesis, and despite impressive performance enhancements, the pressure for low-cost cellulases has stimulated continuous research in the field. In this context, comparative study of the lower and higher producer strains obtained through random mutagenesis using systems biology tools (genome and transcriptome sequencing) can shed light on the mechanisms of cellulase production and help identify genes linked to performance.

High-quality genome (re)assembly using chromosomal contact data.

Closing gaps in draft genome assemblies can be costly and time-consuming, and published genomes are therefore often left 'unfinished.' Here we show that genome-wide chromosome conformation capture (3C) data can be used to overcome these limitations, and present a computational approach rooted in polymer physics that determines the most likely genome structure using chromosomal contact data. This algorithm--named GRAAL--generates high-quality assemblies of genomes in which repeated and duplicated regions are accurately represented and offers a direct probabilistic interpretation of the computed structures.