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.

[Q]: Motivation: Deep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated produces an opportunity to detect species even at very low levels, provided that computational tools can effectively profile the relevant metagenomic communities. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. Here we present metaMix, a Bayesian mixture model framework for resolving complex metagenomic mixtures. We show that the use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture. Results: We demonstrate the greater accuracy of metaMix compared with relevant methods, particularly for profiling complex communities consisting of several related species. We designed metaMix specifically for the analysis of deep transcriptome sequencing datasets, with a focus on viral pathogen detection; however, the principles are generally applicable to all types of metagenomic mixtures. Availability and implementation: metaMix is implemented as a user friendly R package, freely available on CRAN: http://cran.r-project.org/web/packages/metaMix Contact: sofia.morfopoulou.10@ucl.ac.uk Supplementary information: Supplementary data are available at Bionformatics online.
[A]: Bayesian mixture analysis for metagenomic community profiling


[Q]: We determined the interferon-␥ (IFN-␥) cDNA sequence from three porcine breeds, Duroc, Landrance/Duroc hybrid, and Landrance breeds. Five single nucleotide polymorphisms (SNPs) of porcine IFN-␥ (PoIFN-␥) were identified, respectively, at positions 269 (A/G), 376 (C/T), 426 (T/C), and 465 (T/C) of the coding sequence in Landrance/Duroc hybrid, and at position 251 (A/G) in Landrance breed. Among them, A269G and A251G polymorphisms resulted in Q67R and K61R replacements in the mature protein. PoIFN-␥ cDNAs of Duroc breed (PoIFN-␥-W) and Landrance/Duroc hybrid (PoIFN-␥-M), which, respectively, encoded Q67 and R67, were introduced into a prokaryotic expression vector pET32 to express recombinant PoIFN-␥-W (rPoIFN-␥-W) and rPoIFN-␥-M protein variants in Escherichia coli. The identity of both protein variants was further confirmed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). We then compared bioactivities of these two recombinant proteins. Although both recombinant protein variants exhibited comparable activities in antiproliferation of PK-15 cells and in nitric oxide (NO) induction of porcine peripheral monocytes, antiviral activity of rPoIFN-␥-W protein was significantly higher (P < 0.001) than that of rPoIFN-␥-M protein in a plaque inhibition assay using pseudorabies virus (PRV). IC50 values of rPoIFN-␥-W and rPoIFN-␥-M protein in anti-PRV assay were determined as 5.3 ± 1.3 and 9.3 ± 4.3 nM, respectively. In conclusion, we have identified five novel SNPs in PoIFN-␥ cDNA, including two missense polymorphisms that result in Q67R and K61R replacements. Our results further demonstrate that Q67R can markedly reduce antiviral activity of the PoIFN-␥ protein. This is the first report that shows the functional SNP in the coding region of IFN-␥. In the future, it is imperative to determine whether Q67R replacement in IFN-␥ may have disease association.
[A]: A missense polymorphism in porcine interferon-␥ cDNA affects antiviral activity of the protein variant


[Q]: A novel virulent bacteriophage, vB_BbrM_PHB04, infecting Bordetella bronchiseptica was isolated from wastewater collected at a swine farm in China. Phage vB_BbrM_PHB04 exhibited growth over a wide range of temperature and pH conditions and showed different efficiency of plating values and lytic spectra within the same strains at 25 °C and 37 °C. Highthroughput sequencing revealed that vB_BbrM_PHB04 has a linear double-stranded DNA genome with 124 putative open reading frames. Overall, the genome of vB_BbrM_PHB04 showed very low similarity (the highest nucleotide identity 82%, 1% coverage) to other phage sequences in the GenBank database. Phylogenetic analysis indicated that vB_BbrM_PHB04 is a new member of the family Myoviridae. In addition, polymerase chain reaction-based detection of phage genes in phageresistant B. bronchiseptica variants revealed no evidence of lysogenic activity of phage vB_BbrM_PHB04. Handling Editor: Tim Skern.
[A]:
Characterisation of a newly detected bacteriophage infecting Bordetella bronchiseptica in swine