Posts Tagged ‘email’

BrainSpan genotypes

Friday, December 9th, 2016

There are BrainSpan genotypes available through dbGAP:

A Gmail Rival Sent to Siberia by a Mysterious Google Glitch –

Wednesday, November 23rd, 2016 A Gmail Rival [providing encrypted messages] Sent to Siberia by a Mysterious #Google Glitch

Enable POP – Gmail Help

Saturday, December 26th, 2015

gmail to gmail pop using domains
Use SSL: Yes
Port: 995
with the password as the in the domain (

This may also require
turning of some of the domain security QT:{{”
Username and password not working? Some apps require you to also turn on access for less secure apps before setting up POP/IMAP connections. “}}

Contact CRM

Tuesday, March 10th, 2015

Main one:
auto-updating your gmail contacts by analyzing email signatures:

The other softwares related are:
1) Contactually
( 2) Signusapp

Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles

Tuesday, February 17th, 2015

Analysis of high-throughput B-cell sequencing Successful locus-level application of #personalgenome construction

Scratch – Imagine, Program, Share

Saturday, January 31st, 2015

New NIH Biosketch–Helpful Website

Friday, January 23rd, 2015

Here is a link for some helpful information on the new NIH format for biosketches:

NEw paper using BrainSpan data

Monday, January 12th, 2015

The discovery of integrated gene networks for autism and related disorders

Fereydoun Hormozdiari
Osnat Penn
Elhanan Borenstein
Evan E. Eichler

Published in Advance November 5, 2014, doi:10.1101/gr.178855.114 Genome Res. 2015. 25: 142-154

Motivated by this observation, we have developed a novel method that simultaneously integrates information from both PPI and coexpression networks to identify highly connected modules in both types of networks that are also enriched in mutations in cases and not in controls. We call this method MAGI, short for merging affected genes into integrated networks. MAGI is based on a combinatorial
optimization algorithm that aims to maximize the number of mutations in the modules while accounting for gene length and distribution of putative LoF and missense mutations in cases and controls. MAGI is generic and can be applied to any disease, given a list of de novo mutations in cases and relevant coexpression information. Using neurodevelopmental RNA-seq data from the BrainSpan Atlas
(, we have applied it to exome sequence data generated from ASD, ID, epilepsy, and schizophrenia, providing a comprehensive comparison of common and specific gene modules for these diseases.

example research

Monday, June 23rd, 2014 specializes in funding early-stage research projects by way of “crowd-funding” (similar concept to Kickstarter).

Here is a recent example of the type of research funded:

GDoc Track Changes

Saturday, June 14th, 2014

Track-changes in #GDocs, plug-in that provides some functionality. However, wish #Google just had this built-in.