Tiago Lopes @BioinfoPoint
Bioinformatics researcher, interested in algorithms and statistics. bioinfopoint.com Tokyo, Japan Joined May 2015-
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A recurrent problem in text-mining research: publishers blocking access. nature.com/news/text-mini…
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A web-app for NGS, nanopore sequencing and more. This week in bioinformatics is here! bit.ly/1NE70uB
@Biopython I might have overlooked that. I added an update to the original post. Thanks for the info and keep up the great work.
Essential domains in bacteria, single-cell algorithms, and a drug-discovery database bit.ly/1K1bUQS
Here is a short BioPython code to get the amino acid sequence from a PDB file. bit.ly/1JQ5YKz
Our Nature Comm paper is out! High-yield influenza virus. I took care of the statistics here. go.nature.com/JmAoa9
This week in bioinformatics: deep Learning, protein domains, and coevolutionary residues. bit.ly/1LP0wZ0
** Computational drug discovery and machine learning in our most recent paper. Check it out! bit.ly/1VvxuSP
Drug-discovery, epigenetic DBs, tissue-specific networks. Cool papers from last week. buff.ly/1eogSvf
More informative and less messy plots, and a pipeline to make gene networks from papers. buff.ly/1Cf92zK
Book review: Automate this - by Christopher Steiner Inspiration to start or keep programming buff.ly/1LJrWSd
Text-mining analysis of the lyrics of 13 kick-ass rock bands. buff.ly/1Knh22z
Another great article from @QuantaMagazine - Decoding the Remarkable Algorithms of Ants buff.ly/1JhzU1p
@BioinfDZ Thanks for the retweet! I hope other folks find the post useful as well. Best regards from Tokyo!
Tiago Lopes retweeted
The natural hierarchy of all scientific journals. arxiv.org/pdf/1506.05661…
Tiago Lopes retweeted
"Algorithmic wizardry" johndcook.com/blog/2015/06/2… #statistics
The Nature Communications paper that I helped by doing the statistical analysis is out! Influenza virus rocks! buff.ly/1e7s6oc
Ultra-large sequence alignments and a review of synthetic biology. Papers from this week. buff.ly/1JmYzo6
Do you know how to make a circular phylogenetic tree in R? It is very easy! buff.ly/1GwBrN4
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