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The article presents several rules for restructuring papers to avoid losing readers. Authors are instructed to focus their papers on a central contribution and to concentrate on the context-content-conclusion (C-C-C) scheme. They are also advised to optimize a paper's logical flow by avoiding zig-zag and using parallelism and to include complete story in the abstract.

While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance. [ABSTRACT FROM AUTHOR]

The author talks about several rules that a person can follow to develop good reading habits in graduate school and beyond. Topics discussed include the importance of developing the habit of reading on a daily basis; the need to develop comprehension skills; and the need to study the history of one's discipline. Also mentioned are the importance of creating a list of relevant journals, the need to read books, and the benefits of using a reference manager.

The article outlines the rules for a bioinformatics journal club which, according to the authors, is a great way to take in the scientific literature, keep up with developments in their field, and hone their communication and analytical skills. The rules include holding a journal club at eight in the morning, finding good articles for discussion, and expanding the roster of leaders as people join the journal club.

The article presents guidelines for drawing scientific comics for efficient communication of difficult ideas. Suggestions mentioned include finding the right shapes for use in conveying the appropriate message one is trying to make, making one's comics simple to convey a complicated idea easier to understand, and taking time to ensure that the details in one's comics are right.

This article offers tips for students to complete a graduate degree in biological sciences in Latin America. Topics discussed include the features that underlie the performance of graduate programs around the world, the importance of investigating the graduate program and the adviser, scholarship programs for graduate students, and the need to follow administrative procedures from admission to graduation.

You can help your principal investigator on the oversight of grant rules and procedures, keeping protocols up to date, writing reports, and fulfilling requests from the Institutional Review Board (IRB). Regardless, what is important is for the administrator to be curious about science and make the effort to get a basic familiarity with the scientific discipline and academic working environment they are supporting. Although human resources, principal investigators, and lab managers are a large part of the onboarding process for a new employee, administrative staff are typically involved in the process as well. [Extracted from the article]

According to the Centers for Disease Control and Prevention (CDC), one in twenty five hospital patients are infected with at least one healthcare acquired infection (HAI) on any given day. Early detection of possible HAI outbreaks help practitioners implement countermeasures before the infection spreads extensively. Here, we develop an efficient data and model driven method to detect outbreaks with high accuracy. We leverage mechanistic modeling of C. difficile infection, a major HAI disease, to simulate its spread in a hospital wing and design efficient near-optimal algorithms to select people and locations to monitor using an optimization formulation. Results show that our strategy detects up to 95% of “future” C. difficile outbreaks. We design our method by incorporating specific hospital practices (like swabbing for infections) as well. As a result, our method outperforms state-of-the-art algorithms for outbreak detection. Finally, a qualitative study of our result shows that the people and locations we select to monitor as sensors are intuitive and meaningful. [ABSTRACT FROM AUTHOR]

The article offers information on the challenging scientific problems faced by humanity. Topics discussed include information on the efforts to empower Africans to join the global neuroscience community; discussions on the BRAIN initiative in the U.S. and the Human Brain Project in Europe; and the information on the limiting factor for computational neuroscience development in Africa.

We have now reached the genomics era within medicine; genomics is being used to personalise treatment, make diagnoses, prognoses, and predict adverse outcomes resulting from treatment with certain drugs. Genomic data is now abundant in healthcare, and the newly created profession of clinical bioinformaticians are responsible for its analysis. In the United Kingdom, clinical bioinformaticians are trained within a 3-year programme, integrating a work-based placement with a part-time Master’s degree. As this profession is still developing, trainees can feel isolated from their peers whom are located in other hospitals and can find it difficult to gain the mentorship that they require to complete their training. Building strong networks or communities of practice (CoPs) and allowing sharing of knowledge and experiences is one solution to addressing this isolation. Within the Master’s delivered at the University of Manchester, we have integrated group-centred problem-based learning (PBL) using real clinical case studies worked on during each course unit. This approach is combined with a flipped style of teaching providing access to online content in our Virtual Learning Environment before the course. The face-to-face teaching is used to focus on the application of the students’ knowledge to clinical case studies. In this study, we conducted semistructured interviews with 8 students, spanning 3 cohorts of students. We evaluated the effectiveness of this style of teaching and whether it had contributed to the formation of CoPs between our students. Our findings demonstrated that this style of teaching was preferred by our students to a more traditional lecture-based format and that the problem-based learning approach enabled the formation of CoPs within these cohorts. These CoPs are valuable in the development of this new profession and assist with the production of new guidelines and policies that are helping to professionalise this new group of healthcare scientists. [ABSTRACT FROM AUTHOR]

Demand for training life scientists in bioinformatics skills led to the development of a train-the-trainer collaboration between the European Molecular Biology Laboratory–European Bioinformatics Institute (EMBL-EBI) and 2 Australian organisations, Bioplatforms Australia and Commonwealth Scientific and Industrial Research Organisation (CSIRO) in 2012. The goal of the collaboration was to establish a group of trained instructors who could develop and deliver short bioinformatics courses nationally. A train-the-trainer course introduces instructors to aspects of andragogy and evidence-based learning principles to help them better design, develop, and deliver high-quality training. Since then, both the number of trainers in the network and the course portfolio have grown. Best practises have been developed and shared between the Australian cohort and EMBL-EBI to address common challenges in bioinformatics training. The Australian trainer cohort undertook a train-the-trainer instructor course, again with EMBL-EBI, and subsequently successfully delivered train-the-trainer courses to interested bioinformatics trainers within Australia. We conclude that a train-the-trainer approach can help build national capacity and maintain a critical mass of trained instructors. [ABSTRACT FROM AUTHOR]

In a flipped classroom, students complete automated modules to replace a traditional lecture, allowing the time devoted for the lecture to be devoted to constructive tasks reinforcing student knowledge. Yet although the flipped classroom offers a compelling approach for fostering a constructivist, student-centric learning environment, research on the efficacy of flipped classes has been mixed. For that matter, is it possible to successfully flip a classroom in an advanced, heavily specialized course like a bioinformatics algorithms course? Over the past several years, the author has implemented a flipped version of such a course and will discuss some of the successes and pitfalls encountered. [ABSTRACT FROM AUTHOR]

An editorial is presented on rules for providing a meaningful research experience to high school students. Topics discussed include ten rules for becoming an effective research mentor for high school students and their training, research opportunities as undergraduates and career consideration in science, technology, engineering, and mathematics and bridging the gap between scientists and the general public on scientific research.

The article presents ten simple rules for hosting a regular webinar series with particular emphasis on resource-constrained communities like many in Africa. Topics include aligning a webinar theme to the expectations of the audience; settling on a convenient and user friendly webinar platform; and announcing webinars through mailing lists and social media platform.

The article reviews progress made by scientists in bioinformatics and propose strategies for boosting bioinformatics capacity. It mentions information on Eastern Africa Network for Bioinformatics Training (EANBiT), which aims at developing practitioners who can develop and use bioinformatics approaches to biosciences. It presents use of biosciences in treating infectious diseases such as the human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), and tuberculosis (TB).

The article offers information on the periodical's `Topic Pages' project as a way to help fill important gaps in Wikipedia's coverage of computational biology content and to credit authors for their contributions. It mentions that hypercycle theory is now more accessible not only for advanced readers, but also for ordinary people who seek knowledge on the computational aspects of the origins of life.

Quantitative reasoning and techniques are increasingly ubiquitous across the life sciences. However, new graduate researchers with a biology background are often not equipped with the skills that are required to utilize such techniques correctly and efficiently. In parallel, there are increasing numbers of engineers, mathematicians, and physical scientists interested in studying problems in biology with only basic knowledge of this field. Students from such varied backgrounds can struggle to engage proactively together to tackle problems in biology. There is therefore a need to establish bridges between those disciplines. It is our proposal that the beginning of graduate school is the appropriate time to initiate those bridges through an interdisciplinary short course. We have instigated an intensive 10-day course that brought together new graduate students in the life sciences from across departments within the National University of Singapore. The course aimed at introducing biological problems as well as some of the quantitative approaches commonly used when tackling those problems. We have run the course for three years with over 100 students attending. Building on this experience, we share 11 quick tips on how to run such an effective, interdisciplinary short course for new graduate students in the biosciences. [ABSTRACT FROM AUTHOR]

We present a new educational initiative called Meet-U that aims to train students for collaborative work in computational biology and to bridge the gap between education and research. Meet-U mimics the setup of collaborative research projects and takes advantage of the most popular tools for collaborative work and of cloud computing. Students are grouped in teams of 4–5 people and have to realize a project from A to Z that answers a challenging question in biology. Meet-U promotes "coopetition," as the students collaborate within and across the teams and are also in competition with each other to develop the best final product. Meet-U fosters interactions between different actors of education and research through the organization of a meeting day, open to everyone, where the students present their work to a jury of researchers and jury members give research seminars. This very unique combination of education and research is strongly motivating for the students and provides a formidable opportunity for a scientific community to unite and increase its visibility. We report on our experience with Meet-U in two French universities with master’s students in bioinformatics and modeling, with protein–protein docking as the subject of the course. Meet-U is easy to implement and can be straightforwardly transferred to other fields and/or universities. All the information and data are available at . [ABSTRACT FROM AUTHOR]

The article presents simple rules for developing serious scientific videogames. One rule is that the goal of the game should be defined in a clear way in terms of science and teaching. Another rule is that equilibrium has to be created between scientific accuracy and player accessibility. Another rule is that one should let the players interact with scientific data.

The article offers tips on how to develop collaborative lessons.

The article focuses on the application of project-based learning in bioinformatics training and to foster collaboration and develop interpersonal competencies. It mentions overcome the challenge of composing a training course that could develop the competencies with increasingly heterogeneous audience of life scientists. It also mentions topics of the course which include sequence alignment, phylogenetics, and networks and pathways.

The H3ABioNet pan-African bioinformatics network, which is funded to support the Human Heredity and Health in Africa (H3Africa) program, has developed node-assessment exercises to gauge the ability of its participating research and service groups to analyze typical genome-wide datasets being generated by H3Africa research groups. We describe a framework for the assessment of computational genomics analysis skills, which includes standard operating procedures, training and test datasets, and a process for administering the exercise. We present the experiences of 3 research groups that have taken the exercise and the impact on their ability to manage complex projects. Finally, we discuss the reasons why many H3ABioNet nodes have declined so far to participate and potential strategies to encourage them to do so. [ABSTRACT FROM AUTHOR]

The article discusses several rules for undergraduates to help them intellectually enrich their research experiences, in view of benefits of research in undergraduate education, and their struggle in understanding purpose of work. Topics include need for undergraduates to start early to explore research interests and goals for career; having a background knowledge in the research area using resources like Massive Open Online Courses; and having positive relationships with research colleagues.

The article discusses the results of a two-year project which aimed to provide guidance to the National Science Foundation (NSF) on how to best encourage ethical practices in scientific and engineering research involving the use of big data research methods and infrastructures. The assumption that most data represent or impact people should be used to guide one's analysis. Researchers are also encouraged to situate and contextualize data to anticipate privacy breaches and minimize harm.

The article offers tips on preparing short and swift scientific presentations. Since immediacy is important, preparing one primary message for the audience is suggested. Slides can be used to present a clear story by discussing one major point per slide. Using simple visuals is recommended. The style, graphical design, language and imagery of the presentation should be consistent.

The article discusses the virtuous cycle of a data ecosystem. Topics include the increasing creation of digital data of all types, the benefits of data sharing which include data remixing and combining, bias minimization and meta-analysis, and the growth of data collection techniques along with data aggregation and mining algorithms.