Posts Tagged ‘cv57’

SciENcv: Science Experts Network Curriculum Vitae

March 24, 2022

https://www.ncbi.nlm.nih.gov/sciencv/

https://www.ncbi.nlm.nih.gov/myncbi/mark.gerstein.2/cv/595523/ &
https://www.dropbox.com/s/n94s058ug0dkbjm/cv-595523.NSF-biosketch0mg-24mar22-ch4x57g.pdf?dl=0

login via era commons & then use login.gov

Affinium Pharmaceuticals, Ltd.: Private Company Information – Bloomberg

January 13, 2019

https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=762473

Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central

December 28, 2018

https://onlinelibrary.wiley.com/doi/full/10.1002/asi.22970
QT:{{”
Appendix shows the top 20 most highly cited authors based on 546,245 citations from PubMed Central. In all three periods, M. Gerstein, a professor in computational biology and bioinformatics at Yale University, is
both the most highly cited and productive author in the first author category.
“}}

Biosketch Research Support section D from guidelines

October 11, 2018

D. Additional Information: Research Support

QT:{{”
These instructions apply to all applicants who are completing the “Research Support” section.

List ongoing and completed research projects from the past three years that you want to draw attention to. Briefly indicate the overall goals of the projects and your responsibilities. Do not include the number of person months or direct costs.

Do not confuse “Research Support” with “Other Support.” Other Support information is not collected at the time of application submission. “}}

GitHub – ejfertig/NSFBiosketch: R markdown file to extract list of collaborators and affiliations from pubmed for NSF biosketch

August 27, 2017

https://github.com/ejfertig/NSFBiosketch

Highlights of 2016

March 26, 2017

I recently had to complete my 2016 Faculty Activity Report (FAR), summarizing key lab “activities” of the past year.

* Here are dump directories with some excerpts:

http://archive.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/ http://files.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/

These include:

* A full updated CV describing my lab’s activities (in too much detail):

http://files.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/M-Gerstein-Public-CV–bld1dec16.cv57.pdf

The CV is based on :

– Compiling the people in the lab, viz:

http://files.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/cv57-22-bld1dec16-AdaptedFrom–Gerstein_Lab_Personnel_112016.pdf

http://files.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/cv57-23-bld1dec16–EditOn–Corrected-Past-Postdoctoral-Associates-and-Fellows.notrkchg.pdf

– A dump up to the end of ’16 of all of our scientific papers and our “other writings” too.

http://archive.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/cv57-26-bld1dec16–addendum-Rest–Just-Other-Writings.pdf

http://archive.gersteinlab.org/public-docs/2017/03.26/2016-summary–cv57/cv57-30-bld1dec16–papers-simple–reformatted.pdf

– There’s also an update on lectures in ’16:
http://lectures.gersteinlab.org/summary/

* Finally, I’ve done little write up of some highlights, viz:

During 2016 the lab had a number of research highlights. We have published three interlinked tools: Stress, Frustration, and
Intensification, for assessing the impact of rare genomic variants using knowledge of molecular structure. The tools are of particular interest to the medical genetics community because as they can help explain various cancer mutations as well as variants associated with genetic diseases. Another highlight is our publishing a framework for quantifying privacy risks as a result of linking clinical and phenotype variables. This paper is a timely work given the ongoing debate on data sharing. Apart from these works, we have a few research papers on topics in genomics, such as analyzing allele-specific binding and gene expression analysis, and several review articles on the role of non-coding variants, network comparison, and the cost of sequencing.

Regarding service, I worked on further developing the computational biology program at Yale. In particular, I co-chaired a committee about moving toward a Center for Biomedical Data Science at the Medical School. My lab served the research community in participating in many consortiums, such as PCAWG (the Pan-Cancer Analysis Working Group), the ENCODE consortium, PsychENCODE, 1000 Genomes’ structural variation group (and its follow-ons), and the Extracellular RNA Communication Consortium. In 2016, I gave talks and participated in many meetings, including an important data-science education forum at the Cold Spring Harbor Laboratory.

Regarding teaching, I further developed my course in Bioinformatics by including more practical hands-on materials. For example, we introduced a collaborative programming assignment utilizing the GitHub site.

(Private link, with authentication only for my reference:
http://facultyadmin.yale.edu/far/mark-gerstein)

For reference, this involved updating a variety of places on the wiki, viz:

http://info.gersteinlab.org/MBG-Profile
http://info.gersteinlab.org/Additional_Information_about_Personnel http://info.gersteinlab.org/Pubmed_query#Misc

Archives | HCR Clarivate Analytics

November 21, 2016

Thomson Reuters HIGHLY CITED RESEARCHERS (HCR) List

ON:
2016_HCR_as_of_November_16_2016.xlsx
2015_HCR_as_of_December_1_2015.xlsx
2014_HCR_as_of_September_8_2015.xlsx
2014_HCR_List_as_of_December_31_2014.xlsx

2016 HCR List as of November 16 2016
2015 HCR List as of December 1 2015
2014 HCR List as of December 31 2014
2014 HCR as of September 8 2015

NOT-ON:
2001_HCR_List_as_of_December_31_2001.xlsx
2001_HCR_as_of_September_8_2015.xlsx

2001 HCR List as of December 31 2001
2001 HCR as of September 8 2015

http://hcr.stateofinnovation.thomsonreuters.com/page/archives http://hcr.stateofinnovation.thomsonreuters.com/

Steven Girvin, Robert Schoelkopf, and Nikhil Padmanabhan among the most influential scientific minds of 2015 | Department of Physics

February 21, 2016

MG mentioned on
http://physics.yale.edu/news/steven-girvin-robert-schoelkopf-and-nikhil-padmanabhan-among-most-influential-scientific-minds Thomson Reuter’s
THE WORLD’S MOST INFLUENTIAL SCIENTIFIC MINDS 2015
in 2 categories: Biochem & Genetics

Gerstein Lab Highlights in 2015

January 31, 2016

I recently had to complete my 2015 Faculty Activity Report (FAR), summarizing key lab “activities” of last year. (Sounds a bit like summer camp.)

Here are some excerpts:

* A full updated CV describing my lab’s activities (in too much detail):

http://archive.gersteinlab.org/public-docs/2016/01.31/cv57/M-Gerstein-Full-CV-28Jan16-publ.pdf

* This is mostly based on compiling the people in the lab in ’15 & the papers they’ve worked on :

http://archive.gersteinlab.org/public-docs/2016/01.31/cv57/papers-page-dump-28Jan16/
http://archive.gersteinlab.org/public-docs/2016/01.31/cv57/people-page-dump-28Jan16/

There’s also an update on lectures in ’15:
http://lectures.gersteinlab.org/summary/

* Finally, I’ve done little write up of some highlights, viz:

Highlights for 2015 include a number of technical computational biology papers, discussing such things as structural variant breakpoint analysis, regulatory network characterization in terms of logical circuits, and the identification of recurrent cancer variants. We also participated in some major consortium papers (1000G, PsychENCODE, and TCGA Prostate & Kidney) and had some popular-interest pieces (eg a SF Chronicle op-ed on website regulation). There were a few important lectures (eg keynote at Genome Informatics ’15). Finally, we received new grants such as the renewal of the Yale CMG sequencing center.

(Private link, with authentication only for my reference:
http://facultyadmin.yale.edu/far/mark-gerstein)