Monthly Archives: Novembro 2015

Not Even Scientists Can Easily Explain P-values

P-values have taken quite a beating lately. These widely used and commonly misapplied statistics have been blamed for giving a veneer of legitimacy to dodgy study results, encouraging bad research …

Sourced through Scoop.it from: fivethirtyeight.com

What Is a P-Value ? How to translate intuitively this concept !? Not even the scientists agree in that…

 

 

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Anúncios

Microsoft lança ferramenta de encriptação para dados bioinformáticos

Allows researchers to work on data securely.

Sourced through Scoop.it from: www.itnews.com.au

A Microsoft está às necessidades futura de privacidade nos acessos aos dados bioinformáticos. Cada vez vão existir laboratórios, hospitais que vão trabalhar com dados obtidos de sequenciação e é necessário protegê-los como quaisquer outros dados clínicos.

 

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xkcd: Google vs DNA, which is better ?

Sourced through Scoop.it from: xkcd.com

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Birth of Planets! Formation of Alien Worlds Photographed for 1st Time

Scientists have photographed a gas-giant planet forming around a young, sunlike star called LkCa 15, which lies about 450 light-years from Earth.

Sourced through Scoop.it from: www.space.com

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The five habits of bad bioinformaticians

When ever I see bad bioinformatics, a little bit of me dies inside, because I know there is ultimately no reason for it to have happened.  As a community, bioinformaticians are wonderfully open, co…

Sourced through Scoop.it from: biomickwatson.wordpress.com

Cinco maus hábitos que os bioinformáticos reincidem…

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All known exoplanets in one picture

Sourced through Scoop.it from: orig00.deviantart.net

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BMC Bioinformatics | Abstract | An investigation of causes of false positive single nucleotide polymorphisms using simulated reads from a small eukaryote genome

Single Nucleotide Polymorphisms (SNPs) are widely used molecular markers, and their use has increased massively since the inception of Next Generation Sequencing (NGS) technologies, which allow detection of large numbers of SNPs at low cost. However, both NGS data and their analysis are error-prone, which can lead to the generation of false positive (FP) SNPs. We explored the relationship between FP SNPs and seven factors involved in mapping-based variant calling — quality of the reference sequence, read length, choice of mapper and variant caller, mapping stringency and filtering of SNPs by read mapping quality and read depth. This resulted in 576 possible factor level combinations. We used error- and variant-free simulated reads to ensure that every SNP found was indeed a false positive.

Sourced through Scoop.it from: www.biomedcentral.com

Num trabalho liderado por um português, este estudo permite determinar até que ponto as actuais pipelines de análise e assemblagem pós-sequenciação pode gerar falsos  SNPs.

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