In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
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Question: Paragraph: Background 3 In silico bacterial, viral, and human truth datasets were generated to evaluate available metagenomics 4 algorithms. Sequenced datasets include background organisms, creating ambiguity in the true 5 source organism for each read. Bacterial and viral datasets were created with even and staggered 6 coverage to evaluate organism identification, read mapping, and gene identification capabilities of 7 available algorithms. These truth datasets are provided as a resource for the development and 8 refinement of metagenomic algorithms. Algorithm performance on these truth datasets can inform 9 decision makers on strengths and weaknesses of available algorithms and how the results may be best 10 leveraged for bacterial and viral organism identification and characterization. 11 12 Source organisms were selected to mirror communities described in the Human Microbiome Project as 13 well as the emerging pathogens listed by the National Institute of Allergy and Infectious Diseases. The 14 six in silico datasets were used to evaluate the performance of six leading metagenomics algorithms: 15 MetaScope, Kraken, LMAT, MetaPhlAn, MetaCV, and MetaPhyler. 16 Results Algorithms were evaluated on runtime, true positive organisms identified to the genus and species 19 levels, false positive organisms identified to genus and species level, read mapping, relative abundance 20 estimation, and gene calling. No algorithm out performed the others in all categories, and the 21 algorithm or algorithms of choice strongly depends on analysis goals. MetaPhlAn excels for bacteria 22 and LMAT for viruses. The algorithms were ranked by overall performance using a normalized 23 weighted sum of the above metrics, and MetaScope emerged as the overall winner, followed by Kraken 24 and LMAT. 25 Conclusions 27 Simulated FASTQ datasets with well--characterized truth data about microbial community composition 28 reveal numerous insights about the relative strengths and weaknesses of the metagenomics algorithms 29 evaluated. The simulated datasets are available to download from the Sequence Read Archive 30 (SRP062063). 31 32 
 Title: Evaluating performance of metagenomic characterization algorithms using in silico datasets generated with FASTQSim

Answer: False


Question: Paragraph: The eight different types of ubiquitin (Ub) chains that can be formed play important roles in diverse cellular processes. Linkageselective recognition of Ub chains by Ub-binding domain (UBD)containing proteins is central to coupling different Ub signals to specific cellular responses. The motif interacting with ubiquitin (MIU) is a small UBD that has been characterized for its binding to monoUb. The recently discovered deubiquitinase MINDY-1/FAM63A contains a tandem MIU repeat (tMIU) that is highly selective at binding to K48-linked polyUb. We here identify that this linkageselective binding is mediated by a single MIU motif (MIU2) in MINDY-1. The crystal structure of MIU2 in complex with K48-linked polyubiquitin chains reveals that MIU2 on its own binds to all three Ub moieties in an open conformation that can only be accommodated by K48-linked triUb. The weak Ub binder MIU1 increases overall affinity of the tMIU for polyUb chains without affecting its linkage selectivity. Our analyses reveal new concepts for linkage selectivity and polyUb recognition by UBDs. 
 Title: A single MIU motif of MINDY-1 recognizes K48-linked polyubiquitin chains

Answer: False


Question: Paragraph: To trace the possible route of introduction of porcine epidemic diarrhea virus (PEDV), the phylogenetic relationships of PEDV strains in the regions of epidemicity in the Philippines to PEDV strains that are endemic in other countries were investigated. Partial nucleotide sequences of the S1 spike gene was determined from the PEDV-positive samples and compared with S1 sequences from other countries. Phylogenetic analysis indicated that PEDV strains in the Philippines segregate into two groups. 
 Title: Phylogenetic tracking of current porcine epidemic diarrhea virus (PEDV) strains in the Philippines

Answer:
True