Legal gaps under deregulatory broadband policies and the resurgent rise of corporate power

This paper considers the likely combinatorial effects of U.S. deregulatory broadband policies and the evolution of law as applied to corporations as a general matter. It explains how legal developments in both areas have dismantled bodies of law or doctrines that had developed to address corporate power in both commercial and political spheres and to protect consumers from vulnerability in commercial activities. Moreover, the coexistence of these developments enables an unprecedented transfer of corporate power between economic and policymaking institutions. With the decline in regulatory constraints, as well as the rise in constitutional rights to block attempts to impose regulatory constraints, there is a resurgent rise of corporate power. The result may be a phase transition undermining the rule of law so critical to sustainable democracies. --Antitrust,broadband,common carriers,constitutional rights,consumer protection,corporations,telecommunications

How Elevation of Corporate Free Speech Rights Affects Legality of Network Neutrality

In Citizens United v. Federal Election Commission (2010), the U.S. Supreme Court overruled a century of precedent to hold that corporations must be treated identically to natural persons with regard to political speech. This Article describes how the Court\u27s decision is a radical departure from history that mirrors the FCC\u27s flawed analysis in its classification of broadband Internet access services as an information service with no separable telecommunications component subject to common carriage regulation. Overall, the combinatorial effect of Citizens United and the FCC\u27s classification of broadband access service as an information service is to elevate the constitutional free speech rights of corporations, and thereby diminish the federal government\u27s ability to protect consumer interests with regard to network neutrality

How Elevation of Corporate Free Speech Rights Affects Legality of Network Neutrality

In Citizens United v. Federal Election Commission (2010), the U.S. Supreme Court overruled a century of precedent to hold that corporations must be treated identically to natural persons with regard to political speech. This Article describes how the Court\u27s decision is a radical departure from history that mirrors the FCC\u27s flawed analysis in its classification of broadband Internet access services as an information service with no separable telecommunications component subject to common carriage regulation. Overall, the combinatorial effect of Citizens United and the FCC\u27s classification of broadband access service as an information service is to elevate the constitutional free speech rights of corporations, and thereby diminish the federal government\u27s ability to protect consumer interests with regard to network neutrality

Correction: AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiae

The characterization and public release of genome sequences from thousands of organisms is expanding the scope for genetic variation studies. However, understanding the phenotypic consequences of genetic variation remains a challenge in eukaryotes due to the complexity of the genotype-phenotype map. One approach to this is the intensive study of model systems for which diverse sources of information can be accumulated and integrated. Saccharomyces cerevisiae is an extensively studied model organism, with well-known protein functions and thoroughly curated phenotype data. To develop and expand the available resources linking genomic variation with function in yeast, we aim to model the pan-genome of S. cerevisiae. To initiate the yeast pan-genome, we newly sequenced or re-sequenced the genomes of 25 strains that are commonly used in the yeast research community using advanced sequencing technology at high quality. We also developed a pipeline for automated pan-genome analysis, which integrates the steps of assembly, annotation, and variation calling. To assign strain-specific functional annotations, we identified genes that were not present in the reference genome. We classified these according to their presence or absence across strains and characterized each group of genes with known functional and phenotypic features. The functional roles of novel genes not found in the reference genome and associated with strains or groups of strains appear to be consistent with anticipated adaptations in specific lineages. As more S. cerevisiae strain genomes are released, our analysis can be used to collate genome data and relate it to lineage-specific patterns of genome evolution. Our new tool set will enhance our understanding of genomic and functional evolution in S. cerevisiae, and will be available to the yeast genetics and molecular biology community

The Consensus Coding Sequence (Ccds) Project: Identifying a Common Protein-Coding Gene Set for the Human and Mouse Genomes

Effective use of the human and mouse genomes requires reliable identification of genes and their products. Although multiple public resources provide annotation, different methods are used that can result in similar but not identical representation of genes, transcripts, and proteins. The collaborative consensus coding sequence (CCDS) project tracks identical protein annotations on the reference mouse and human genomes with a stable identifier (CCDS ID), and ensures that they are consistently represented on the NCBI, Ensembl, and UCSC Genome Browsers. Importantly, the project coordinates on manually reviewing inconsistent protein annotations between sites, as well as annotations for which new evidence suggests a revision is needed, to progressively converge on a complete protein-coding set for the human and mouse reference genomes, while maintaining a high standard of reliability and biological accuracy. To date, the project has identified 20,159 human and 17,707 mouse consensus coding regions from 17,052 human and 16,893 mouse genes. Three evaluation methods indicate that the entries in the CCDS set are highly likely to represent real proteins, more so than annotations from contributing groups not included in CCDS. The CCDS database thus centralizes the function of identifying well-supported, identically-annotated, protein-coding regions.National Human Genome Research Institute (U.S.) (Grant number 1U54HG004555-01)Wellcome Trust (London, England) (Grant number WT062023)Wellcome Trust (London, England) (Grant number WT077198

Screening for Gonorrhea: Recommendation Statement

The U.S. Preventive Services Task Force (USPSTF) recommends that clinicians screen all sexually active women, including those who are pregnant, for gonorrhea infection if they are at increased risk for infection (that is, if they are young or have other individual or population risk factors; see Clinical Considerations for further discussion of risk factors). B recommendation

Alliance of Genome Resources Portal: unified model organism research platform

The Alliance of Genome Resources (Alliance) is a consortium of the major model organism databases and the Gene Ontology that is guided by the vision of facilitating exploration of related genes in human and well-studied model organisms by providing a highly integrated and comprehensive platform that enables researchers to leverage the extensive body of genetic and genomic studies in these organisms. Initiated in 2016, the Alliance is building a central portal (www.alliancegenome.org) for access to data for the primary model organisms along with gene ontology data and human data. All data types represented in the Alliance portal (e.g. genomic data and phenotype descriptions) have common data models and workflows for curation. All data are open and freely available via a variety of mechanisms. Long-term plans for the Alliance project include a focus on coverage of additional model organisms including those without dedicated curation communities, and the inclusion of new data types with a particular focus on providing data and tools for the non-model-organism researcher that support enhanced discovery about human health and disease. Here we review current progress and present immediate plans for this new bioinformatics resource