Literature DB >> 29208718

An inclusive Research Education Community (iREC): Impact of the SEA-PHAGES program on research outcomes and student learning.

David I Hanauer1, Mark J Graham2, Laura Betancur3, Aiyana Bobrownicki2, Steven G Cresawn4, Rebecca A Garlena5, Deborah Jacobs-Sera5, Nancy Kaufmann5, Welkin H Pope5, Daniel A Russell5, William R Jacobs6, Viknesh Sivanathan7, David J Asai8, Graham F Hatfull9.   

Abstract

Engaging undergraduate students in scientific research promises substantial benefits, but it is not accessible to all students and is rarely implemented early in college education, when it will have the greatest impact. An inclusive Research Education Community (iREC) provides a centralized scientific and administrative infrastructure enabling engagement of large numbers of students at different types of institutions. The Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) is an iREC that promotes engagement and continued involvement in science among beginning undergraduate students. The SEA-PHAGES students show strong gains correlated with persistence relative to those in traditional laboratory courses regardless of academic, ethnic, gender, and socioeconomic profiles. This persistent involvement in science is reflected in key measures, including project ownership, scientific community values, science identity, and scientific networking.
Copyright © 2017 the Author(s). Published by PNAS.

Entities:  

Keywords:  assessment; bacteriophage; evolution; genomics; science education

Mesh:

Year:  2017        PMID: 29208718      PMCID: PMC5754813          DOI: 10.1073/pnas.1718188115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


Engaging undergraduates in scientific research is educationally advantageous, regardless of the students’ career aspirations (1–3). Several well-established models, each with benefits and challenges (4), provide this engagement. In apprentice-based research experiences (AREs), students, typically in their later college years, perform research under the direct supervision of an experienced mentor. An ARE can provide a high level of training, but the opportunities are constrained by laboratory space and supervisory capacity, imposing high-stakes selection for a relatively small number of students (5). Course-based research experiences (CREs) represent a second model; in this case, students conduct research as a class. In comparison with AREs, well-designed CREs can engage more students earlier in the curriculum (6), which is expected to have higher impact (7, 8). However, developing authentic research activities suitable for a CRE is challenging. A drawback of both models is that they largely exclude the 40% of US undergraduate students who attend 2-y colleges or 4-y colleges with limited research infrastructures (9). A third model is the inclusive Research Education Community (iREC), in which a common scientific problem is addressed by students at multiple institutions that are supported by a centralized scientific and programmatic structure. Because of the centralized support, the iREC presents three advantages over other models. (i) The iREC is inclusive, because it is designed for students with few prerequisites, thus emphasizing the exploration of a student’s potential rather than selection based on past accomplishments. (ii) The iREC presents students at all types of institutions with the opportunity to participate in authentic research, including at schools with little or no investigator-driven research. (iii) The iREC encourages growth, because the programmatic costs per student decrease as more students participate. The centralized scientific and programmatic structure of the iREC encourages the development of a collaborative community, in which the students interact with one another both within the same institution and across institutions. The sense of community is strengthened in several ways: all of the schools pursue the same scientific problem, instructors from different institutions regularly come together in training workshops and faculty meetings, and students and faculty are presented with opportunities to share their findings with one another [e.g., the Science Education Alliance–Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) annual symposium]. In these ways, the student’s cognitive experience mirrors that of an experienced researcher, and the social community aspects of scientific practice are apparent. Because iRECs require robust centralized programmatic structures that support the study of suitable research topics (10), iRECs are rare (5). Examples include the Genomics Education Partnership (11, 12), Small World Initiative (13, 14), and the SEA-PHAGES program (15). The special characteristics of the iREC make it a particularly strong candidate for enhancing science education early in a student’s career, with the long-term outcome of enhancing engagement and student persistence in the sciences. The iREC educational approach, fully implemented in the SEA-PHAGES program, provides a testing ground to explore the outcomes of this approach in terms of scientific productivity, student engagement, and student persistence in science, technology, engineering, and mathematics (STEM). Here, we report the combined impacts of research productivity and student persistence of the SEA-PHAGES program. The synergy between research authenticity and student engagement suggests that the iREC model could play a transformative role in science education.

Results

SEA-PHAGES Program Infrastructure.

The SEA-PHAGES program seeks to understand viral diversity and evolution taught as a two-term laboratory course research experience. The first term is focused on bacteriophage isolation, purification, and DNA purification, and the second term focuses on genome annotation and bioinformatic analyses of the isolated phages (Fig. 1). Because the phage population is vast, dynamic, old, and consequently, enormously diverse (16, 17), the probability that a student will isolate a phage with a new genome or with previously unidentified genes is high (18, 19). When coupled with the technical simplicity of phage isolation, rapid and cheap sequencing capabilities, and powerful bioinformatic tools, SEA-PHAGES presents an accessible and discovery-rich research experience.
Fig. 1.

Organization and structure of the SEA-PHAGES program. The SEA-PHAGES program administrators (yellow box) oversee support components critical to program implementation (green box). Typical two-term course structure (red box) includes phage isolation through comparative genomics; additional characterization includes EM, PCR/restriction analysis, and lysogeny assays (red ovals). Sequence and annotation quality control is shared with SEA-PHAGES faculty teams (purple box).

Organization and structure of the SEA-PHAGES program. The SEA-PHAGES program administrators (yellow box) oversee support components critical to program implementation (green box). Typical two-term course structure (red box) includes phage isolation through comparative genomics; additional characterization includes EM, PCR/restriction analysis, and lysogeny assays (red ovals). Sequence and annotation quality control is shared with SEA-PHAGES faculty teams (purple box). Programmatic support and scientific support are critical for success of an iREC. The SEA-PHAGES program elements include the development and publication of detailed experimental protocols, two 1-wk faculty training workshops in (i) phage discovery and (ii) bioinformatics, curated databases of students’ results, archiving of collected bacteriophages, continuous system-wide assessment, scientific exchange in online forums, and an annual symposium. All of the SEA-PHAGES faculty meet in a biennial faculty retreat, and faculty also participate in advanced genome annotation workshops. In addition, Science Education Alliance faculty teams contribute to quality control of both sequence data and genome annotation (Fig. 1). Two databases facilitate coordination of the scientific and programmatic data (phagesdb.org and https://seaphages.org, respectively). Because of the potential complexity of SEA-PHAGES, we used systems-level methods (20, 21) to construct a detailed pathway map (Fig. 2 and ) that relates program activities to short-, medium- and long-term outcomes in SEA-PHAGES. The full model () captures all of the program elements and how they connect to outcomes, and a modest subset illustrates the pathways linking course design with student persistence (Fig. 2). This model is helpful for facilitating program development, designing additional iRECs, and providing a framework for assessment strategies.
Fig. 2.

The SEA-PHAGES systems-level model. Systems-level SEA-PHAGES activities (white box) with short-, medium-, and long-term outcomes (red, blue, and green boxes, respectively). shows the entire model.

The SEA-PHAGES systems-level model. Systems-level SEA-PHAGES activities (white box) with short-, medium-, and long-term outcomes (red, blue, and green boxes, respectively). shows the entire model.

SEA-PHAGES Program Scale and Costs.

The initial investment in iREC administrative and programmatic structure facilitates program growth. The SEA-PHAGES program has grown by addition of 7–25 institutions each year, and over its 9-y development, it now includes over 100 institutions (Fig. 3 and ), spanning R1 universities to community colleges (Fig. 3 and ). The 104 schools joining in the first 8 y showed a strong propensity to continue for multiple years in the program, and the probabilities for remaining after 3, 4, or 5 y are 97, 89, and 87%, respectively; continuation rates are not significantly different for schools joining in different years. The massively parallel approach enabled inclusion of over 4,000 students in academic year 2016–2017 (16,300 total over 9 y) (Fig. 3), 80% of whom were in their first or second year of study. Although scalability of undergraduate research programs often presents substantial challenges (1), an iREC promotes cost efficiencies, because the program administration expenditures are nearly independent of the number of students involved; thus, as the number of participating institutions increases, the cost per student decreases. For the SEA-PHAGES program, the current administrative costs per student (∼$500, encompassing all of the support items in Fig. 1) are 33% lower than 2 y previously, and additional program growth will extend the cost-effectiveness. The low per student cost enables the iREC to be delivered to large numbers of students early in their undergraduate careers, thus encouraging students to explore science in a relatively low-risk “gateway” experience. The iREC can introduce the student to research at a better time and at a much lower cost than the more traditional ARE. For those students who find research to be something that they want to explore further, the iREC can provide a stepping stone to subsequent AREs and should facilitate a more productive research experience. We note that the instructional and material costs at SEA-PHAGES participating institutions are greater than for traditional laboratories but are commensurate with other CREs.
Fig. 3.

Program participants and research productivity from the SEA-PHAGES program. (A) Numbers of SEA-PHAGES institutions and students (blue and yellow bars, respectively) participating by academic year (fall semester). (B) Carnegie Classifications of SEA-PHAGES participating institutions. Assoc/Other, associate's colleges, and others; Bac/A&S, baccalaureate colleges—arts & sciences; Bac/Diverse, baccalaureate colleges—diverse fields; M1–M3, larger, medium, and smaller master's colleges and universities, respectively; R1–R3, doctoral universities with highest, higher, and moderate research activity, respectively. (C) Numbers of phages isolated and genomes sequenced (pink and aqua, respectively) by academic year. (D) Numbers of peer-reviewed SEA-PHAGES publications as Genome Announcements (Gen Ann) and other peer-reviewed papers (Papers) (). (E) Citations of SEA-PHAGES papers, showing all citations and nonself-citations.

Program participants and research productivity from the SEA-PHAGES program. (A) Numbers of SEA-PHAGES institutions and students (blue and yellow bars, respectively) participating by academic year (fall semester). (B) Carnegie Classifications of SEA-PHAGES participating institutions. Assoc/Other, associate's colleges, and others; Bac/A&S, baccalaureate colleges—arts & sciences; Bac/Diverse, baccalaureate colleges—diverse fields; M1–M3, larger, medium, and smaller master's colleges and universities, respectively; R1–R3, doctoral universities with highest, higher, and moderate research activity, respectively. (C) Numbers of phages isolated and genomes sequenced (pink and aqua, respectively) by academic year. (D) Numbers of peer-reviewed SEA-PHAGES publications as Genome Announcements (Gen Ann) and other peer-reviewed papers (Papers) (). (E) Citations of SEA-PHAGES papers, showing all citations and nonself-citations.

SEA-PHAGES Research Productivity.

The authenticity of the research conducted in an iREC is critically important, not only for addressing scientific questions but because it also influences the cognitive experiences of student participants (22, 23). In the SEA-PHAGES program, research productivity is reflected in the numbers of phages isolated (∼10,000 in total) (Fig. 3) and sequenced (∼1,400) (Fig. 3), representing substantial proportions of the total numbers of all phages isolated and sequenced to date (24, 25). These findings are reported in over 70 peer-reviewed publications (Fig. 3 and ) (including 40 short Genome Announcement papers), many with student and SEA-PHAGES faculty coauthors. The availability of archived and sequenced phages for experimental manipulation by the scientific community at large provides a valuable resource for gaining insights into bacteriophage biology (24, 25). This research productivity compares favorably with that of one to two NIH R01 grants (26, 27).

Impact of SEA-PHAGES on Student Intention to Persist in STEM.

A key iREC educational goal is for students to share the experience of the professional research scientist, including the thrill of discovery, collaboration within a community, and advancing scientific knowledge relevant to the broader community. These psychosocial elements are strongly linked to educational persistence (28–31) and benefit all students, regardless of their intended area of study. Using the psychometric Persistence in the Sciences (PITS) assessment tool (28), we compared 2,850 students taking either SEA-PHAGES or nonresearch traditional laboratory courses at a total of 67 institutions. PITS encompasses five survey components: project ownership (with content and emotion categories), self-efficacy, science identity, scientific community values, and networking, each measuring psychological components that correlate strongly with a student’s intention to continue in science (22, 28). We also collected information on academic performance, socioeconomic status, and other demographics (). To separate the influence of the type of course taken from other variables, including the possibility of student self-selection of SEA-PHAGES or traditional laboratories, we used propensity score matching (32) (Fig. 4). We observed large and significant differences in five of six categories (all except self-efficacy, which assesses students’ confidence in their abilities to function as scientists) (Fig. 4), reflecting substantial gains by SEA-PHAGES students. Of the measures used, self-efficacy is the one most closely related to the primary goals of the typical nonresearch traditional laboratory, which are to develop confidence in laboratory procedures and skills. The overall pattern of the PITS measures shows significant increases in multiple aspects of the research experience (project ownership, science identity, science community values, and networking) but little difference in student confidence in laboratory procedures and skills (i.e., self-efficacy). Because the experiments in SEA-PHAGES have greater uncertainty and are directed by the necessities of authentic science, it is reassuring that we did not observe a reduction in self-efficacy compared with traditional laboratories. SEA-PHAGES and traditional laboratories both encourage student development of procedural confidence, but SEA-PHAGES adds an authentic research experience that promotes continued engagement in science.
Fig. 4.

Comparison of intent to persist in the sciences for students taking SEA-PHAGES and traditional laboratory courses. The PITS survey responses comparing SEA-PHAGES and nonresearch laboratory courses (blue and yellow bars, respectively). (A) Propensity score matching balanced all variables, except for course type. (B–F) Equally sized randomly chosen subsets of students were selected and compared using multivariate ANOVA (MANOVA) (all P < 0.0001) and ANOVA, with significant differences indicated. Groups analyzed are those reporting a high (scoring five on a five-point scale) intent to stay in the sciences (B), first generation students (C), women (D), underrepresented minorities (E), and underrepresented minority males (F). The PITS survey rating scales are from one (strongly disagree) to five (strongly agree) for all measures except for scientific community values, which had a one (not like me at all) to six (very much like me) scale. All scales had full descriptors for each of the levels on the scale. *P < 0.05; **P < 0.01; ***P < 0.0001.

Comparison of intent to persist in the sciences for students taking SEA-PHAGES and traditional laboratory courses. The PITS survey responses comparing SEA-PHAGES and nonresearch laboratory courses (blue and yellow bars, respectively). (A) Propensity score matching balanced all variables, except for course type. (B–F) Equally sized randomly chosen subsets of students were selected and compared using multivariate ANOVA (MANOVA) (all P < 0.0001) and ANOVA, with significant differences indicated. Groups analyzed are those reporting a high (scoring five on a five-point scale) intent to stay in the sciences (B), first generation students (C), women (D), underrepresented minorities (E), and underrepresented minority males (F). The PITS survey rating scales are from one (strongly disagree) to five (strongly agree) for all measures except for scientific community values, which had a one (not like me at all) to six (very much like me) scale. All scales had full descriptors for each of the levels on the scale. *P < 0.05; **P < 0.01; ***P < 0.0001. Because students were not randomly assigned at all 67 institutions, it is plausible that the SEA-PHAGES courses could be disproportionately populated with students interested in pursuing science. To test this, we compared students declaring the highest possible intent to stay in science and observed similarly strong gains by SEA-PHAGES students (Fig. 4). The surprisingly low scores—correlating with poor persistence (28)—from students with high intent to study science who are taking traditional nonresearch laboratory courses resonate with national concerns about science education (9). A simple interpretation is that students keen on pursuing science interests were discouraged by their experiences in traditional laboratory courses.

iREC Inclusion Promotes Broad Student Success.

To examine the inclusive nature of the iREC, we compared student cohorts known to have poor science persistence early in college careers (33, 34), particularly first generation college students (Fig. 4), women (Fig. 4), underrepresented minorities (Fig. 4), and underrepresented men (Fig. 4). The broadly shared gains by SEA-PHAGES students strongly support the conclusion that the iREC model provides authentic research experiences (Fig. 4 ) to all students with similar advantages. We also find that student responses are similar for different types of institutions (Fig. 5)—with small additional project ownership gains at community colleges relative to other schools—and we hypothesize that the supportive iREC programmatic structure (Fig. 1) facilitates success at institutions, such as community colleges, that typically do not have robust investigator-driven research activity. Students with different socioeconomic backgrounds (Fig. 5), academic performance (Fig. 5), gender (Fig. 5), and ethnicity (Fig. 5) also score similarly, reinforcing the inclusive nature of the iREC as exemplified by the SEA-PHAGES program. Finally, to confirm that students reliably self-report their intention to persist in the sciences, we measured the average numbers of science courses taken by subsets of students in each of the three subsequent terms after their introductory laboratory course (Fig. 5). The SEA-PHAGES students enrolled in a consistently higher number of science courses than students taking traditional laboratory courses (Fig. 5).
Fig. 5.

Comparisons of student subgroups taking the SEA-PHAGES courses on their intent to persist in the sciences. The PITS survey responses for equally sized randomly chosen subsets of students were selected and compared. Groups differed by institutions (A), socioeconomic status (B), grade point average (C), gender (D), or ethnicity (E). Multivariate ANOVA (MANOVA) showed only small differences for some groups (institution type, P < 0.049; grade point average, P < 0.04; gender, P < 0.001). Significant differences using univariate analyses (ANOVA) are shown. The PITS survey rating scales are from one (strongly disagree) to five (strongly agree) for all measures except for scientific community values, which had a one (not like me at all) to six (very much like me) scale. All scales had full descriptors for each of the levels on the scale. *P < 0.05; **P < 0.01. (F) Average number of science courses taken by students experiencing SEA-PHAGES (red) or a nonresearch laboratory course (blue) in three subsequent terms; 95% confidence intervals are shown.

Comparisons of student subgroups taking the SEA-PHAGES courses on their intent to persist in the sciences. The PITS survey responses for equally sized randomly chosen subsets of students were selected and compared. Groups differed by institutions (A), socioeconomic status (B), grade point average (C), gender (D), or ethnicity (E). Multivariate ANOVA (MANOVA) showed only small differences for some groups (institution type, P < 0.049; grade point average, P < 0.04; gender, P < 0.001). Significant differences using univariate analyses (ANOVA) are shown. The PITS survey rating scales are from one (strongly disagree) to five (strongly agree) for all measures except for scientific community values, which had a one (not like me at all) to six (very much like me) scale. All scales had full descriptors for each of the levels on the scale. *P < 0.05; **P < 0.01. (F) Average number of science courses taken by students experiencing SEA-PHAGES (red) or a nonresearch laboratory course (blue) in three subsequent terms; 95% confidence intervals are shown.

Discussion

We have described here the iREC model for promoting student persistence in STEM education. The iREC, as illustrated by SEA-PHAGES, focuses on scientific discovery within a community accessible by early career undergraduate students and a centralized administrative structure that supports a broad range of institutions. Furthermore, it enables student development regardless of demographic or academic background. We propose that the iREC concept could have a transformative impact on science education when expanded to include additional research topics. We encourage research institutions to design and implement additional iREC programs. We emphasize that the authenticity of iREC research topics is important, not only for promoting student engagement through project ownership but also for program sustainability and acquiring financial support. Several important questions arise regarding SEA-PHAGES program implementation and iREC development in general. For example, the SEA-PHAGES program spans experimental approaches, including microbiology, molecular biology, imaging, and computational biology, and the contributions of each of these elements to student persistence are unresolved. Furthermore, as yet, we know little of how the iREC experience influences students’ choices in enrolling for other STEM courses and laboratories or in pursuing other research experiences. We also do not know how the SEA-PHAGES experience influences student career choices after graduation. Because early career students succeed in SEA-PHAGES, regardless of background or experience, we predict that the benefit of experiencing the process of discovery—vs. the unfortunately too frequent imposition of exercises for which the “right” answers are already known—will be broadly accrued by all students, including those who sample science via this iREC but who choose to pursue nonscience careers. Layering iREC experiences through different levels of the undergraduate curriculum could multiply their impacts. Although the initial costs of establishing an iREC administrative structure can be substantial, they can be considerably less so if built on an extant independently funded research program. After it is operational, the program structure can support rapid expansion of the numbers of institutions and student participants, thereby substantially reducing the costs/student. Defining the SEA-PHAGES programmatic structure (Fig. 1), analyzing the relationships among its component elements (Fig. 2), and documenting the research and educational outcomes (Figs. 3–5) provide a path for future iREC development. Widespread use of this model has the potential to drive a major transformation of undergraduate science education.

Materials and Methods

The pathway model was constructed using previously described approaches (20), and detailed methods are described in . Program assessment used the PITS survey tool and comprised five existing survey tools covering project ownership, self-efficacy, science identity, scientific community values, and networking, all of which measure different psychological components of a research experience and have individually been used in a range of investigations of educational programs. Before usage in this data collection process, the PITS survey was evaluated for its dimensionality, validity, and internal consistency (28). The tool underwent psychometric evaluation and has been validated for usage in the assessment of research experiences. Details of the survey cohorts, data, and statistical analyses are described in detail in . This study was approved and supervised by the Institutional Review Board of the Indiana University of Pennsylvania (14-302) and the University of Pittsburgh Institutional Review Board (PRO14100567 and PRO15030412).
  26 in total

Review 1.  Education. Undergraduate research experiences: impacts and opportunities.

Authors:  Marcia C Linn; Erin Palmer; Anne Baranger; Elizabeth Gerard; Elisa Stone
Journal:  Science       Date:  2015-02-06       Impact factor: 47.728

2.  The genomics education partnership: successful integration of research into laboratory classes at a diverse group of undergraduate institutions.

Authors:  Christopher D Shaffer; Consuelo Alvarez; Cheryl Bailey; Daron Barnard; Satish Bhalla; Chitra Chandrasekaran; Vidya Chandrasekaran; Hui-Min Chung; Douglas R Dorer; Chunguang Du; Todd T Eckdahl; Jeff L Poet; Donald Frohlich; Anya L Goodman; Yuying Gosser; Charles Hauser; Laura L M Hoopes; Diana Johnson; Christopher J Jones; Marian Kaehler; Nighat Kokan; Olga R Kopp; Gary A Kuleck; Gerard McNeil; Robert Moss; Jennifer L Myka; Alexis Nagengast; Robert Morris; Paul J Overvoorde; Elizabeth Shoop; Susan Parrish; Kelynne Reed; E Gloria Regisford; Dennis Revie; Anne G Rosenwald; Ken Saville; Stephanie Schroeder; Mary Shaw; Gary Skuse; Christopher Smith; Mary Smith; Eric P Spana; Mary Spratt; Joyce Stamm; Jeff S Thompson; Matthew Wawersik; Barbara A Wilson; Jim Youngblom; Wilson Leung; Jeremy Buhler; Elaine R Mardis; David Lopatto; Sarah C R Elgin
Journal:  CBE Life Sci Educ       Date:  2010       Impact factor: 3.325

3.  Undergraduate research experiences in biology: alternatives to the apprenticeship model.

Authors:  Cynthia A Wei; Terry Woodin
Journal:  CBE Life Sci Educ       Date:  2011       Impact factor: 3.325

4.  A high-enrollment course-based undergraduate research experience improves student conceptions of scientific thinking and ability to interpret data.

Authors:  Sara E Brownell; Daria S Hekmat-Scafe; Veena Singla; Patricia Chandler Seawell; Jamie F Conklin Imam; Sarah L Eddy; Tim Stearns; Martha S Cyert
Journal:  CBE Life Sci Educ       Date:  2015-06-01       Impact factor: 3.325

5.  A central support system can facilitate implementation and sustainability of a Classroom-based Undergraduate Research Experience (CURE) in Genomics.

Authors:  David Lopatto; Charles Hauser; Christopher J Jones; Don Paetkau; Vidya Chandrasekaran; David Dunbar; Christy MacKinnon; Joyce Stamm; Consuelo Alvarez; Daron Barnard; James E J Bedard; April E Bednarski; Satish Bhalla; John M Braverman; Martin Burg; Hui-Min Chung; Randall J DeJong; Justin R DiAngelo; Chunguang Du; Todd T Eckdahl; Julia Emerson; Amy Frary; Donald Frohlich; Anya L Goodman; Yuying Gosser; Shubha Govind; Adam Haberman; Amy T Hark; Arlene Hoogewerf; Diana Johnson; Lisa Kadlec; Marian Kaehler; S Catherine Silver Key; Nighat P Kokan; Olga R Kopp; Gary A Kuleck; Jane Lopilato; Juan C Martinez-Cruzado; Gerard McNeil; Stephanie Mel; Alexis Nagengast; Paul J Overvoorde; Susan Parrish; Mary L Preuss; Laura D Reed; E Gloria Regisford; Dennis Revie; Srebrenka Robic; Jennifer A Roecklien-Canfield; Anne G Rosenwald; Michael R Rubin; Kenneth Saville; Stephanie Schroeder; Karim A Sharif; Mary Shaw; Gary Skuse; Christopher D Smith; Mary Smith; Sheryl T Smith; Eric P Spana; Mary Spratt; Aparna Sreenivasan; Jeffrey S Thompson; Matthew Wawersik; Michael J Wolyniak; James Youngblom; Leming Zhou; Jeremy Buhler; Elaine Mardis; Wilson Leung; Christopher D Shaffer; Jennifer Threlfall; Sarah C R Elgin
Journal:  CBE Life Sci Educ       Date:  2014       Impact factor: 3.325

6.  Course-based undergraduate research experiences can make scientific research more inclusive.

Authors:  Gita Bangera; Sara E Brownell
Journal:  CBE Life Sci Educ       Date:  2014       Impact factor: 3.325

7.  Citizen Science: The Small World Initiative Improved Lecture Grades and California Critical Thinking Skills Test Scores of Nonscience Major Students at Florida Atlantic University.

Authors:  Joseph P Caruso; Natalie Israel; Kimberly Rowland; Matthew J Lovelace; Mary Jane Saunders
Journal:  J Microbiol Biol Educ       Date:  2016-03-01

8.  Whole genome comparison of a large collection of mycobacteriophages reveals a continuum of phage genetic diversity.

Authors:  Welkin H Pope; Charles A Bowman; Daniel A Russell; Deborah Jacobs-Sera; David J Asai; Steven G Cresawn; William R Jacobs; Roger W Hendrix; Jeffrey G Lawrence; Graham F Hatfull
Journal:  Elife       Date:  2015-04-28       Impact factor: 8.140

9.  Redefining authentic research experiences in introductory biology laboratories and barriers to their implementation.

Authors:  Rachelle M Spell; Judith A Guinan; Kristen R Miller; Christopher W Beck
Journal:  CBE Life Sci Educ       Date:  2014       Impact factor: 3.325

10.  Measuring Networking as an Outcome Variable in Undergraduate Research Experiences.

Authors:  David I Hanauer; Graham Hatfull
Journal:  CBE Life Sci Educ       Date:  2015       Impact factor: 3.325

View more
  47 in total

1.  Expanding Tiny Earth to genomics: a bioinformatics approach for an undergraduate class to characterize antagonistic strains.

Authors:  Joseph Basalla; Ryan Harris; Elizabeth Burgess; Nicholas Zeedyk; Hans Wildschutte
Journal:  FEMS Microbiol Lett       Date:  2020-01-01       Impact factor: 2.742

2.  Connecting research and teaching introductory cell and molecular biology using an Arabidopsis mutant screen.

Authors:  Jinjie Liu; Ron Cook; Linda Danhof; David Lopatto; Jon R Stoltzfus; Christoph Benning
Journal:  Biochem Mol Biol Educ       Date:  2021-09-24       Impact factor: 1.369

3.  Genome Characterization of Gordonia Phage Amore2.

Authors:  Caroline M Lantis; Emily C Mattison; Sarah E Miller; Alexandria J Williams; Alison E Kanak
Journal:  Microbiol Resour Announc       Date:  2022-09-28

4.  Tightening Bonds in Latin America Through Phage Discovery.

Authors:  Florencia Payaslian; Victoria Gradaschi; Liliana Rondón Salazar; Maria Eugenia Dieterle; Estefanía Urdániz; Matias Di Paola; Fabio Zon; Mariana Allievi; Carmen Sanchez Rivas; Raúl Ricardo Raya; Alejandro Reyes; Mariana Piuri
Journal:  Phage (New Rochelle)       Date:  2021-03-17

5.  INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomes.

Authors:  Ryan Cook; Nathan Brown; Tamsin Redgwell; Branko Rihtman; Megan Barnes; Martha Clokie; Dov J Stekel; Jon Hobman; Michael A Jones; Andrew Millard
Journal:  Phage (New Rochelle)       Date:  2021-12-16

Review 6.  Mycobacteriophages.

Authors:  Graham F Hatfull
Journal:  Microbiol Spectr       Date:  2018-10

7.  Bacteroides thetaiotaomicron-Infecting Bacteriophage Isolates Inform Sequence-Based Host Range Predictions.

Authors:  Andrew J Hryckowian; Bryan D Merrill; Nathan T Porter; William Van Treuren; Eric J Nelson; Rebecca A Garlena; Daniel A Russell; Eric C Martens; Justin L Sonnenburg
Journal:  Cell Host Microbe       Date:  2020-07-10       Impact factor: 21.023

Review 8.  Actinobacteriophages: Genomics, Dynamics, and Applications.

Authors:  Graham F Hatfull
Journal:  Annu Rev Virol       Date:  2020-09-29       Impact factor: 10.431

9.  Shigella Phages Isolated during a Dysentery Outbreak Reveal Uncommon Structures and Broad Species Diversity.

Authors:  Sarah M Doore; Jason R Schrad; William F Dean; John A Dover; Kristin N Parent
Journal:  J Virol       Date:  2018-03-28       Impact factor: 5.103

10.  Genomics of Environmental Salmonella: Engaging Students in the Microbiology and Bioinformatics of Foodborne Pathogens.

Authors:  Noah A Greenman; Sophie K Jurgensen; Charles P Holmes; Curtis J Kapsak; Raechel E Davis; William M Maza; Desiree Edemba; Bethany A Esser; Selena M Hise; Tara N Keen; Hunter G Larson; Dominique J Lockwood; Brian Wang; Joseph A Harsh; James B Herrick
Journal:  Front Microbiol       Date:  2021-04-22       Impact factor: 5.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.