Author Archives: antagomir

About antagomir

http://www.iki.fi/Leo.Lahti

Open PhD student position in Digital Humanities, Helsinki/Finland

We are looking for an independent and  highly motivated PhD candidate to join our Digital Humanities research team in University of Helsinki, Finland in fall 2016. The position provides a unique opportunity to gain widely applicable research skills and make … Continue reading

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Shakespeare! Cervantes! 400! A statistical analysis of the early modern printing of the Bard and Don Quixote

We are a team of an early modern intellectual historian (Mikko Tolonen) and a computational scientist and bioinformatician (Leo Lahti). Often on Friday nights we skype to discuss digital humanities, a field that nicely combines our mutual interests in science … Continue reading

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RPA: fully scalable preprocessing method for short oligonucleotide microarray atlases

How to preprocess 20,000 CEL files (or more) on an ordinary desktop computer in a few hours? Our new Online-RPA algorithm – developed in collaboration with the EBI functional genomics group and recently published in Nucleic Acids Research (2013) –  … Continue reading

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Selecting open license in the academia

Confusingly many open licenses are available. A key issue for academics is to ensure the widest possible reuse of the material by setting minimal restrictions on the end user. I  collected an Open Licensing Memo to help newcomers with selecting … Continue reading

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Defining the baseline for publication sharing

Recent blog posts by Bill Gasarch and improved version by Daniel Lemire are calling for an explicit manifesto to promote standard sharing practices: Store your work in an open archive such as arXiv; provide RSS feeds; Post improvements to your work; … Continue reading

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Deciphering the structure of life and society through open science

Understanding functional organization of genetic information is a major challenge in modern biology. Following the initial publication of the human genome sequence in 2001, advances in high-throughput measurement technologies and efficient sharing of research material through community databases have opened … Continue reading

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Machine learning open source software – ICML/MLOSS workshop June 25, 2010

Computational solutions developed in one application domain are often easily generalized to new problem settings. However, the poor availability of algorithmic implementations slows down the flow from theory to practice. An increasing  proportion of research details in modern data-intensive science … Continue reading

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