Georg Zeller

TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about concrete mechanical properties of E.coli found in theobiological deposits.

TL;DR: This work has developed CART, a Chemical Annotation Retrieval Toolkit that matches an input list of chemical names into a comprehensive reference space to assign unambiguous chemical identifiers and can determine annotations enriched in the input set of chemicals and display these in tabular format and interactive network visualizations, thereby facilitating integrative analysis of chemical bioactivity data.

TL;DR: This study broadens the understanding of antibiotic action on gut commensals, uncovers a previously unappreciated and broad bactericidal effect of prototypical bacteriostatic antibiotics on gut bacteria, and opens avenues for preventing the collateral damage caused by antibiotics by screening >1,000 drugs.

TL;DR: A machine-learning method, called mTim (margin-based transcript inference method) for transcript reconstruction from RNA-Seq read alignments that is based on discriminatively trained hidden Markov support vector machines that inferred transcripts that were highly accurate and relatively robust to alignment errors in comparison to those from Cufflinks.

TL;DR: Progenomes3 as mentioned in this paper is a database of 907 388 high-quality genomes containing 4 billion genes that passed stringent criteria and have been consistently annotated using multiple functional and taxonomic databases including mobile genetic elements and biosynthetic gene clusters.