From television to multi-platform: less from more or more for less?

This article examines economic aspects of convergence and of multi-platform expansion in the media sector. Focusing on television broadcasters in the UK, it analyses the recent migration of conventional media towards multi-platform strategies and asks whether digitization is making content delivery more resource–intensive than before or whether it is facilitating greater efficiency. Findings suggest that adaptation to a multi-platform outlook on the part of conventional media requires investment in staffing and re-versioning of content. Funding this, especially in a period of economic downturn, has encouraged a more selective approach towards content, with concomitant implications for diversity. Notwithstanding generally low commercial returns from online activities so far, the potential economic advantages to be had from multi-platform are significant. The experience of UK broadcasters suggests a well-executed ‘360-degree’ approach to commissioning and distribution will increase the value that can be realized from any given universe of content, partly because of extended opportunities for consumption of that content, but also because modes of engagement in a digital multi-platform context allow for an improved audience experience and for better signalling of audience preferences back to suppliers

MACBenAbim: A Multi-platform Mobile Application for searching keyterms in Computational Biology and Bioinformatics

Computational biology and bioinformatics are gradually gaining grounds in Africa and other developing nations of the world. However, in these countries, some of the challenges of computational biology and bioinformatics education are inadequate infrastructures, and lack of readily-available complementary and motivational tools to support learning as well as research. This has lowered the morale of many promising undergraduates, postgraduates and researchers from aspiring to undertake future study in these fields. In this paper, we developed and described MACBenAbim (Multi-platform Mobile Application for Computational Biology and Bioinformatics), a flexible user-friendly tool to search for, define and describe the meanings of keyterms in computational biology and bioinformatics, thus expanding the frontiers of knowledge of the users. This tool also has the capability of achieving visualization of results on a mobile multi-platform context

Brands in international and multi‐platform expansion strategies: economic and management issues

Powerful media branding has historically facilitated successful international expansion on the part of magazine and other content forms including film and TV formats. Multi-platform expansion is now increasingly central to the strategies of media companies and, as this chapter argues, effective use of branding in order to engage audiences effectively and to secure a prominent presence across digital platforms forms a core part of this. Drawing on original research into the experience of UK media companies, this chapter highlights some of the key economic, management and socio-cultural issues raised by the ever-increasing role of brands and branding in the strategies of international and multi-platform expansion that are increasingly common- place across media

Guest editor’s introductory essay: special issue on multi-platform strategies

No abstract available

Multi-platform media: how newspapers are adapting to the digital era

No abstract available

ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis

We present ProteoClade, a Python toolkit that performs taxa-specific peptide assignment, protein inference, and quantitation for multi-species proteomics experiments. ProteoClade scales to hundreds of millions of protein sequences, requires minimal computational resources, and is open source, multi-platform, and accessible to non-programmers. We demonstrate its utility for processing quantitative proteomic data derived from patient-derived xenografts and its speed and scalability enable a novel de novo proteomic workflow for complex microbiota samples