In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Ex Input:
Paul, P.S., 1990. Applications of nucleic acid probes in veterinary infectious diseases. Vet. Microbiol., 24:409-417. Nucleic acid probe technology is increasingly being used in basic research in veterinary microbiology and in diagnosis of infectious diseases of veterinary importance. This review presents an overview of nucleic acid probe methodology and its applications in veterinary infectious diseases. The major applications of nucleic acid probes include detection of pathogens in clinical samples, especially those organisms which are fastidious and difficult to cultivate, differentiation of virulent from avirulent organisms and vaccine strains from wild type isolates, typing of microorganisms, mapping genes, screening libraries of cloned DNA for specific genes, detection of latently infected or carrier animals, study of mechanisms of pathogenesis, epidemiological studies and food safety. 0378-1135/90/$03.50

Ex Output:
Applications of nucleic acid probes in veterinary infectious diseases


Ex Input:
Historically, research on RNA helicase and translocation enzymes has seemed like a footnote to the extraordinary progress in studies on DNA-remodeling enzymes. However, during the past decade, the rising wave of activity in RNA science has engendered intense interest in the behaviors of specialized motor enzymes that remodel RNA molecules. Functional, mechanistic, and structural investigations of these RNA enzymes have begun to reveal the molecular basis for their key roles in RNA metabolism and signaling. In this chapter, we highlight the structural and mechanistic similarities among monomeric RNA translo-case enzymes, while emphasizing the many divergent characteristics that have caused this enzyme family to become one of the most important in metabolism and gene expression.

Ex Output:
Molecular Mechanics of RNA Translocases


Ex Input:
Next-generation sequencing (NGS) approaches rapidly produce millions to billions of short reads, which allow pathogen detection and discovery in human clinical, animal and environmental samples. A major limitation of sequence homology-based identification for highly divergent microorganisms is the short length of reads generated by most highly parallel sequencing technologies. Short reads require a high level of sequence similarities to annotated genes to confidently predict gene function or homology. Such recognition of highly divergent homologues can be improved by reference-free (de novo) assembly of short overlapping sequence reads into larger contigs. We describe an ensemble strategy that integrates the sequential use of various de Bruijn graph and overlap-layout-consensus assemblers with a novel partitioned sub-assembly approach. We also proposed new quality metrics that are suitable for evaluating metagenome de novo assembly. We demonstrate that this new ensemble strategy tested using in silico spike-in, clinical and environmental NGS datasets achieved significantly better contigs than current approaches.

Ex Output:

An ensemble strategy that significantly improves de novo assembly of microbial genomes from metagenomic next-generation sequencing data