CBI faculty member Marcos Perez-Losada was recently published in the Pediatric Infectious Disease Journal.
Members of the CBI, including postdoctoral researcher Dr Nikita Alexeev, PhD student Pavel Avdeyev, and CBI faculty member Dr Max Alekseyev, have published an article in BMC Bioinformatics.
Several GW researchers, including CBI Director Dr. Keith Crandall, received funding from the National Cancer Institute to look at the impact of human endogenous retroviruses in certain cancers.
Dr. Keith Crandall, Director of the Computational Biology Institute, is quoted in this article about the continuing successes of researchers at GWU.
Dr. Keith Crandall, Director of the Computational Biology Institute at The George Washington University, will be participating in the Joint GW Children's National Informatics Seminar Series, on the subject of "Computational Approaches for Biodiversity Informatics".
About the CBI
UW will be offering summer institutes in Statistics Genetics, Statistics for Big Data, Statistics and Modeling in Infectious Diseases, and Statistics for Clinical Research. Check out the link above for more information!
The one-week course is an intensive exploration of problems to which modern phylogenetic approaches are being applied and the most current statistical tools and approaches that are used to solve those problems. We cover a wide range of topics in comparative phylogenetics. The course starts with recent advances in phylogenetic inference, and then focuses on methods for making inferences from phylogenies. Click the link above for further information.
Bioinformatics Institute, Rosalind and Stepik are jointly organizing Bioinformatics Contest — an online programming competition among individuals. Qualification round starts on January 23, 2017. Final round — on February 18. More details are available at contest.bioinf.me. We invite to participate everyone who is interested in Bioinformatics, enjoys solving challenging problems and has some background in Computer Science, Molecular Biology, Genomics and Machine Learning. To learn more, click on the link above.
Rare diseases affect an estimated 25 million Americans. On Feb. 27, 2017, NIH will host an event designed to raise awareness about rare diseases, the people they affect and current research collaborations. Sponsored by NCATS and the NIH Clinical Center, Rare Disease Day at NIH will take place from 8:30 a.m. to 4:00 p.m. in Masur Auditorium in Building 10 on the NIH main campus in Bethesda, Maryland. The event will feature presentations, posters, exhibits, an art show and tours of the NIH Clinical Center. Admission is free and open to the public. In association with Global Genes®, participants are encouraged to wear their favorite pair of jeans. Be sure to follow the event on social media using #RDDNIH.
The National Science Foundation (NSF) Division of Mathematical Sciences (DMS) aims to provide opportunities to enrich the training of graduate students in the Mathematical Sciences through the provision of an NSF Mathematical Sciences Graduate Internship Program. This program will provide an opportunity for mathematical sciences doctoral students to participate in internships at federal national laboratories, industry and other approved facilities. Participation in an internship will provide first-hand experience of the use of mathematics in a nonacademic setting. The internships are aimed at students who are interested in understanding the application of advanced mathematical and statistical techniques to "real world" problems, regardless of whether the student plans to pursue an academic or nonacademic career. Click above for more information!
CGSI brings together mathematical and computational scientists, sequencing technology developers in both industry and academia, and the biologists who use the instruments for particular research applications. Click the link above to learn more.
Bruins-In-Genomics (B.I.G.) Summer is an intensive, practical experience in genomics and bioinformatics for Undergraduate students who are interested in integrating quantitative and biological knowledge, and pursuing graduate degrees in the biological, biomedical or health sciences. For more information, click the link above.
The Howard Hughes Medical Institute (HHMI) has announced a new program to recruit and retain early-career scientists who are from gender, racial, ethnic, and other groups underrepresented in the life sciences, including those from disadvantaged backgrounds. Click the link above for more information!
The NIH Big Data to Knowledge program has announced a series of online lectures. Click the link above for more details.
Reconstruction of Ancestral Genomes in Presence of Gene Gain and Loss
Burrowing Crayfish Species Mapped
Genetic Analysis Suggests Dwarf Crayfish Share Ancestor
Since most dramatic genomic changes are caused by genome rearrangements as well as gene duplications and gain/loss events, it becomes crucial to understand their mechanisms and reconstruct ancestral genomes of the given genomes.
In this study, researchers mapped the habitat and evolutionary lineage of burrowing crayfish by analyzing five genes in 19 species of Fallicambarus. The genus Fallicambarus consists entirely of primary burrowers-- crayfish that inhabit burrows for all of their lives. The burrows can have a negative impact when their habitat overlaps with human land-based activities such as farming. Because Fallicambarus is distinct from stream-based crayfish species, habitat shift may impact migration, speciation and conservation.
Though similar in appearance, researchers were unsure if Dwarf crayfish found in distinct locations along the Gulf Coast of United States and into Central México were members of a the same taxonomic genus. Analysis of samples collected at 59 locations support the hypothesis that the Gulf and Mexican Groups shared a common ancestor roughly 40 million years ago. It is likely that the Cambarellus genus became separate groups following changes in geographical barriers and climate, possibly related to the Eocene-Oligocene boundary.
CBI Transitions to the Milken Institute School of Public Health
The Computational Biology Institute is highlighted in the Milken Institute School of Public Health's "2016 Progress Report" as we make the exciting transition into the organization. Check us out on page 17!