Accurate Profiling of Microbial Communities from Massively Parallel Sequencing using Convex Optimization

We describe the Microbial Community Reconstruction ({\bf MCR}) Problem, which is fundamental for microbiome analysis. In this problem, the goal is to reconstruct the identity and frequency of species comprising a microbial community, using short sequence reads from Massively Parallel Sequencing (MPS) data obtained for specified genomic regions. We formulate the problem mathematically as a convex optimization problem and provide sufficient conditions for identifiability, namely the ability to reconstruct species identity and frequency correctly when the data size (number of reads) grows to infinity. We discuss different metrics for assessing the quality of the reconstructed solution, including a novel phylogenetically-aware metric based on the Mahalanobis distance, and give upper-bounds on the reconstruction error for a finite number of reads under different metrics. We propose a scalable divide-and-conquer algorithm for the problem using convex optimization, which enables us to handle large problems (with $\sim10^6$ species). We show using numerical simulations that for realistic scenarios, where the microbial communities are sparse, our algorithm gives solutions with high accuracy, both in terms of obtaining accurate frequency, and in terms of species phylogenetic resolution.Comment: To appear in SPIRE 1

TRIM-NHL protein, NHL-2, modulates cell fate choices in the C. elegans germ line

Many tissues contain multipotent stem cells that are critical for maintaining tissue function. In Caenorhabditis elegans, germline stem cells allow gamete production to continue in adulthood. In the gonad, GLP-1/Notch signaling from the distal tip cell niche to neighboring germ cells activates a complex regulatory network to maintain a stem cell population. GLP-1/Notch signaling positively regulates production of LST-1 and SYGL-1 proteins that, in turn, interact with a set of PUF/FBF proteins to positively regulate the stem cell fate. We previously described sog (suppressor of glp-1 loss of function) and teg (tumorous enhancer of glp-1 gain of function) genes that limit the stem cell fate and/or promote the meiotic fate. Here, we show that sog-10 is allelic to nhl-2. NHL-2 is a member of the conserved TRIM-NHL protein family whose members can bind RNA and ubiquitinate protein substrates. We show that NHL-2 acts, at least in part, by inhibiting the expression of PUF-3 and PUF-11 translational repressor proteins that promote the stem cell fate. Two other negative regulators of stem cell fate, CGH-1 (conserved germline helicase) and ALG-5 (Argonaute protein), may work with NHL-2 to modulate the stem cell population. In addition, NHL-2 activity promotes the male germ cell fate in XX animals

ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data

Summary: ShortRead is a package for input, quality assessment, manipulation and output of high-throughput sequencing data. ShortRead is provided in the R and Bioconductor environments, allowing ready access to additional facilities for advanced statistical analysis, data transformation, visualization and integration with diverse genomic resources

pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens

Cancer immunotherapy has gained significant momentum from recent clinical successes of checkpoint blockade inhibition. Massively parallel sequence analysis suggests a connection between mutational load and response to this class of therapy. Methods to identify which tumor-specific mutant peptides (neoantigens) can elicit anti-tumor T cell immunity are needed to improve predictions of checkpoint therapy response and to identify targets for vaccines and adoptive T cell therapies. Here, we present a flexible, streamlined computational workflow for identification of personalized Variant Antigens by Cancer Sequencing (pVAC-Seq) that integrates tumor mutation and expression data (DNA- and RNA-Seq). pVAC-Seq is available a

Librarians as Natural Disaster Stress Response Facilitators: Building Evidence for Trauma-Informed Library Education and Practice

Public librarians are on the front line of catastrophic events that, each year, leave millions of people with significant mental health consequences; in the midst of these tragedies, librarians are often called upon to address community needs, often while neglecting their personal hardships. In this paper, we propose research, education, and practice opportunities centered on SOLAR, a community-based therapeutic approach that will allow librarians to recognize and assist patrons with symptoms just short of post-traumatic stress disorder (PTSD) related to natural disasters. This proposed therapy offers public librarians an opportunity to engage with a treatment framework to meaningfully support their patrons while benefiting from the self-care often overlooked in times of crisis. This work may be a template for contextually sensitive, community-facilitated mental health services critical for communities that lack financial and geographical access to larger health infrastructures. We include opportunities for research in librarians’ trauma response to inform public librarians’ education and practice to improve disaster preparedness and community well-being

BARCRAWL and BARTAB: software tools for the design and implementation of barcoded primers for highly multiplexed DNA sequencing

<p>Abstract</p> <p>Background</p> <p>Advances in automated DNA sequencing technology have greatly increased the scale of genomic and metagenomic studies. An increasingly popular means of increasing project throughput is by multiplexing samples during the sequencing phase. This can be achieved by covalently linking short, unique "barcode" DNA segments to genomic DNA samples, for instance through incorporation of barcode sequences in PCR primers. Although several strategies have been described to insure that barcode sequences are unique and robust to sequencing errors, these have not been integrated into the overall primer design process, thus potentially introducing bias into PCR amplification and/or sequencing steps.</p> <p>Results</p> <p><it>Barcrawl </it>is a software program that facilitates the design of barcoded primers, for multiplexed high-throughput sequencing. The program <it>bartab </it>can be used to deconvolute DNA sequence datasets produced by the use of multiple barcoded primers. This paper describes the functions implemented by <it>barcrawl </it>and <it>bartab </it>and presents a proof-of-concept case study of both programs in which barcoded rRNA primers were designed and validated by high-throughput sequencing.</p> <p>Conclusion</p> <p><it>Barcrawl </it>and <it>bartab </it>can benefit researchers who are engaged in metagenomic projects that employ multiplexed specimen processing. The source code is released under the GNU general public license and can be accessed at <url>http://www.phyloware.com</url>.</p

The Preparation and Certification of School Librarians: Using Causal Educational Research About Teacher Characteristics to Probe Facets of Effectiveness

How do we define a high-quality school librarian? Decades of educational researchers have attempted to link teacher characteristics—such as how teachers are prepared, which credentials they carry, and years of experience—to student outcomes. These researchers have contended that individual educator attributes may have a direct effect on what and how much their students learn. School librarians are also teachers who have direct student contact, and although numerous studies have indicated that school librarian preparation, licensure, and other background characteristics are promising areas for further direct exploration, researchers have yet to examine if, how, and why school librarians’ certification or preparation positively impacts students’ learning outcomes. The purpose of this paper is to compare findings from causal educational research to findings from descriptive school librarianship research to discern possible areas of causal alignment that warrant further investigation. In this study, we present a subset of a larger mixed research synthesis of causal educational research related to student achievement, contextualized with existing school librarianship research, to draw relationships between classroom teacher and school librarian preparation and characteristics and to shape researchable conjectures about school librarians’ effects on learner outcomes