The Experts below are selected from a list of 4740966 Experts worldwide ranked by ideXlab platform
William Morgan - One of the best experts on this subject based on the ideXlab platform.
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bioinformatics core competencies for undergraduate Life Sciences education
PLOS ONE, 2018Co-Authors: Melissa Wilson A Sayres, Charles R Hauser, Michael Sierk, Srebrenka Robic, Anne G Rosenwald, Todd M Smith, Eric W Triplett, Jason Williams, Elizabeth A Dinsdale, William MorganAbstract:Although bioinformatics is becoming increasingly central to research in the Life Sciences, bioinformatics skills and knowledge are not well integrated into undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing research innovation. To advance the integration of bioinformatics into Life Sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of biology faculty in the United States about teaching bioinformatics to undergraduate Life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year. Results indicate strong, widespread agreement that bioinformatics knowledge and skills are critical for undergraduate Life scientists as well as considerable agreement about which skills are necessary. Perceptions of the importance of some skills varied with the respondent's degree of training, time since degree earned, and/or the Carnegie Classification of the respondent's institution. To assess which skills are currently being taught, we analyzed syllabi of courses with bioinformatics content submitted by survey respondents. Finally, we used the survey results, the analysis of the syllabi, and our collective research and teaching expertise to develop a set of bioinformatics core competencies for undergraduate biology students. These core competencies are intended to serve as a guide for institutions as they work to integrate bioinformatics into their Life Sciences curricula.
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bioinformatics core competencies for undergraduate Life Sciences education
bioRxiv, 2017Co-Authors: Melissa Wilson A Sayres, Charles R Hauser, Michael Sierk, Srebrenka Robic, Anne G Rosenwald, Todd M Smith, Eric W Triplett, Jason Williams, Elizabeth A Dinsdale, William MorganAbstract:Bioinformatics is becoming increasingly central to research in the Life Sciences. However, despite its importance, bioinformatics skills and knowledge are not well integrated in undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing genomic research innovation. To advance the integration of bioinformatics into Life Sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of Life Sciences faculty in the United States about teaching bioinformatics to undergraduate Life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year. Results indicate strong, widespread agreement that bioinformatics knowledge and skills are critical for undergraduate Life scientists, as well as considerable agreement about which skills are necessary. Perceptions of the importance of some skills varied with the respondent's degree of training, time since degree earned, and/or the Carnegie classification of the respondent's institution. To assess which skills are currently being taught, we analyzed syllabi of courses with bioinformatics content submitted by survey respondents. Finally, we used the survey results, the analysis of syllabi, and our collective research and teaching expertise to develop a set of bioinformatics core competencies for undergraduate Life Sciences students. These core competencies are intended to serve as a guide for institutions as they work to integrate bioinformatics into their Life Sciences curricula.
Melissa Wilson A Sayres - One of the best experts on this subject based on the ideXlab platform.
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bioinformatics core competencies for undergraduate Life Sciences education
PLOS ONE, 2018Co-Authors: Melissa Wilson A Sayres, Charles R Hauser, Michael Sierk, Srebrenka Robic, Anne G Rosenwald, Todd M Smith, Eric W Triplett, Jason Williams, Elizabeth A Dinsdale, William MorganAbstract:Although bioinformatics is becoming increasingly central to research in the Life Sciences, bioinformatics skills and knowledge are not well integrated into undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing research innovation. To advance the integration of bioinformatics into Life Sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of biology faculty in the United States about teaching bioinformatics to undergraduate Life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year. Results indicate strong, widespread agreement that bioinformatics knowledge and skills are critical for undergraduate Life scientists as well as considerable agreement about which skills are necessary. Perceptions of the importance of some skills varied with the respondent's degree of training, time since degree earned, and/or the Carnegie Classification of the respondent's institution. To assess which skills are currently being taught, we analyzed syllabi of courses with bioinformatics content submitted by survey respondents. Finally, we used the survey results, the analysis of the syllabi, and our collective research and teaching expertise to develop a set of bioinformatics core competencies for undergraduate biology students. These core competencies are intended to serve as a guide for institutions as they work to integrate bioinformatics into their Life Sciences curricula.
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bioinformatics core competencies for undergraduate Life Sciences education
bioRxiv, 2017Co-Authors: Melissa Wilson A Sayres, Charles R Hauser, Michael Sierk, Srebrenka Robic, Anne G Rosenwald, Todd M Smith, Eric W Triplett, Jason Williams, Elizabeth A Dinsdale, William MorganAbstract:Bioinformatics is becoming increasingly central to research in the Life Sciences. However, despite its importance, bioinformatics skills and knowledge are not well integrated in undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing genomic research innovation. To advance the integration of bioinformatics into Life Sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of Life Sciences faculty in the United States about teaching bioinformatics to undergraduate Life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year. Results indicate strong, widespread agreement that bioinformatics knowledge and skills are critical for undergraduate Life scientists, as well as considerable agreement about which skills are necessary. Perceptions of the importance of some skills varied with the respondent's degree of training, time since degree earned, and/or the Carnegie classification of the respondent's institution. To assess which skills are currently being taught, we analyzed syllabi of courses with bioinformatics content submitted by survey respondents. Finally, we used the survey results, the analysis of syllabi, and our collective research and teaching expertise to develop a set of bioinformatics core competencies for undergraduate Life Sciences students. These core competencies are intended to serve as a guide for institutions as they work to integrate bioinformatics into their Life Sciences curricula.
Yike Guo - One of the best experts on this subject based on the ideXlab platform.
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Web services in the Life Sciences
Drug discovery today, 2005Co-Authors: Vasa Curcin, Moustafa Ghanem, Yike GuoAbstract:Web services provide a standard way of publishing applications and data sources over the internet, enabling mass dissemination of knowledge. In the Life Sciences, the web-service approach is seen as being a road to standardizing the multitude of tools available from different providers. In this article, we present an overview of the technology (focusing on Life-science applications), we list the currently available service providers and we discuss advanced issues raised by the concept.
Stefan Stremersch - One of the best experts on this subject based on the ideXlab platform.
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Marketing Models for the Life Sciences Industry
International Series in Operations Research & Management Science, 2017Co-Authors: Vardan Avagyan, Vardit Landsman, Stefan StremerschAbstract:The Life Sciences industry forms the innovative producer side of therapies in the healthcare industry. The industry has several unique features and is an important part of the economy. The Life Sciences industry gives rise to interesting research questions, as well as enables new model development to support managerial decision making. The academic marketing literature has produced a sizeable array of decision-support tools for the Life science marketers. In this chapter, we present to researchers and managers in the Life Sciences industry a broad overview of these analytical tools, categorized according to subject areas, and the key managerial insights that have been derived from them. We first present the typical models employed in the following modeling traditions: choice model, count model, learning model, modeling key opinion leaders, diffusion model, sales growth model, and launch model. We then discuss the findings on the role of marketing categorized according to the following decision areas: direct-to-physician promotion, direct-to-consumer advertising, pricing, and product usage adherence. We conclude with a number of areas that we think need more research.
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Marketing Models for the Life Sciences Industry
Handbook of Marketing Decision Models, 2017Co-Authors: Vardan Avagyan, Vardit Landsman, Stefan StremerschAbstract:The Life Sciences industryLife Sciences industry forms the innovative producer side of therapies in the healthcare industry. The industry has several unique features and is an important part of the economy. The Life Sciences industry gives rise to interesting research questions, as well as enables new model development to support managerial decision making. The academic marketing literature has produced a sizeable array of decision-support tools for the Life science marketers. In this chapter, we present to researchers and managers in the Life Sciences industry a broad overview of these analytical tools, categorized according to subject areas, and the key managerial insights that have been derived from them. We first present the typical models employed in the following modeling traditions: choice model, count model, learning model, modeling key opinion leaders, diffusion model, sales growth model, and launch model. We then discuss the findings on the role of marketing categorized according to the following decision areas: direct-to-physician promotion, direct-to-consumer advertising, pricing, and product usage adherence. We conclude with a number of areas that we think need more research.
Valérie Lemesle - One of the best experts on this subject based on the ideXlab platform.
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A note on semi-discrete modelling in the Life Sciences
Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 2009Co-Authors: Ludovic Mailleret, Valérie LemesleAbstract:Semi-discrete models are a particular class of hybrid dynamical systems that undergo continuous dynamics most of the time but repeatedly experience discrete changes at some given moments. In the Life Sciences, since the first semi-discrete model was derived to describe population dynamics by Beverton & Holt (Beverton & Holt 1957 In Fisheries investigations, series 2, vol. 19), a large body of literature has been concerned with such modelling approaches. The aim of the present contribution is twofold. On the one hand, it provides a comprehensive introduction to semi-discrete modelling through two illustrative examples: the classical work by Beverton and Holt is recalled and an original example on immigration in a population model affected by a strong Allee effect is worked out. On the other hand, a short overview of the different applications of semi-discrete models in the Life Sciences is proposed.
