Posts Tagged ‘x78qtcore’

Massive analysis refines map of autism’s genetic roots | Spectrum | Autism Research News

December 23, 2018

Mapping the Brain’s Genetic Landscape – The New York Times

December 17, 2018

Analysis of 2,000 Brains Provides Clues to Schizophrenia, Autism | The Scientist Magazine(R)

December 15, 2018–autism-65210

Huge brain study uncovers ‘buried’ genetic networks linked to mental illness

December 15, 2018

Huge Brain Study Uncovers “Buried” Genetic Networks Linked to Mental Illness – Scientific American

December 15, 2018

Put your email inbox on a low-spam diet : Naturejobs Blog

April 15, 2018

Put your email inbox on a low-spam diet by @j_perkel #Email hygiene for the researcher – ie how to escape fake conference & journal invites + #spam calendar invites

The practice of publishing their email addresses on journal articles and university web sites makes research academics ready targets for email spammers. Spam, Clemons insists, is not merely a nuisance but a time-sink. Mark Gerstein, a professor of biomedical informatics at Yale University in New Haven, Connecticut, estimates that maybe a quarter of the 200-or-so messages he receives in a day are important. “I spend many, many, many hours a week, days a week probably, going through my correspondence,” he says.

Gerstein, for instance, uses a multi-tiered approach to triage his correspondence, relying on Gmail filters, labels, and artificial intelligence. Gerstein has a whitelist — a list of ‘approved’ email addresses. Messages from those addresses are automatically routed to his inbox, where they receive the highest priority. New senders can get on that list by placing a special keyword (available on his web site) in the subject line of their message — which is how I was able to contact him.

Below that top tier are departmental messages, messages from mailing lists, and the like. At the very bottom is the obvious spam, the stuff that gets picked up by Google’s spam-detection algorithms. And in the middle is what Gerstein calls ‘almost-spam’ — messages from predatory journals and conferences, spam invitations to join editorial boards, and even spam calendar invites, which automatically add themselves to his calendar and clog up his schedule.

Gerstein advises researchers to use multiple email addresses in dealing with journals, vendors, and the like. Then, by funneling those messages to a single inbox, one can sort the messages by account and prioritize them accordingly.

Gmail is particularly useful for this purpose, Gerstein notes. Suppose you have the address ‘’. Google allows users to modify their addresses by placing a plus sign and additional text between the username and the at-symbol — for instance,
‘’ and ‘’. These messages all go to the original address, but users can sort their messages based on the specific address used.

“You can use that quite powerfully to create unique addresses for all sorts of things, and to filter your email on the basis of that,” Gerstein says.

Still, Gerstein admits, spam inevitably falls through the cracks. How to spot it?

Yale Daily News article about the new Yale Center for Biomedical Data Science (CBDS)

February 10, 2018

Yale establishes biomedical data science center

“The field of data science has become particularly relevant in the biomedical realm — in genomic sequencing, imaging data, patient record data, data on molecules like nucleotides, proteins and metabolites and wearable personal health devices,” Gerstein said. “All of these create data streams that are growing particularly large, and there’s a lot of value in mining and integrating these different data streams.” …

“Although this initiative was started by the medical school, it is meant for the whole campus,” Gerstein said. “We want undergraduates to do research and take courses in biomedical data science — and to be engaged in this center.”

New Center Formed to Support Biomedical Data Science | Yale School of Medicine

February 4, 2018

Inauguration of the Yale Center for Biomedical Data Science

January 30, 2018

Putting the precise in precision medicine > Features > Autumn 2017 | Yale Medicine

November 22, 2017

Center co-director Mark B. Gerstein, Ph.D., the Albert L. Williams Professor of Biomedical Informatics, explains that succeeding with what researchers term “Big Data” requires “real thought about standards, the uniform collection of data, the distribution of samples, and the presentation and packaging of results.” After three years of planning, Gerstein and co-director Hongyu Zhao, Ph.D., a geneticist and the Ira V. Hiscock Professor of Biostatistics, have assembled a kind of central clearinghouse for research and development of these issues, particularly cloud computing and privacy, as well as for education and bridge-building collaboration on university, national, and international levels. “Our mission is really about connecting and coordinating the people and resources already here, and becoming a way to recruit the scientists we want to attract in the future for the Big Data initiatives we want to participate in,” says Gerstein. “We expect the center to have a very broad impact.” “}}