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Association for Computing Machinery

Magazine: Summer 2015 | Volume 21, No. 4

Crossing boundaries

COLUMN: Letter from the editors

Crossing boundaries

By Inbal Talgam-Cohen

HTML | In the Digital Library
Tags: Computer science education, Information science education

Inbox

DEPARTMENT: Inbox

Inbox

By XRDS Staff

HTML | In the Digital Library
Tags: General and reference

A tale of two cells

Tips for writing a good scientific paper

A community for learning

DEPARTMENT: Updates

A community for learning

At Pontificia Universidad Javeriana, the students are also the teachers

By Claudia Schulz

HTML | In the Digital Library
Tags: Computer science education, Computing organizations, Information science education

Biological backstory

A fleeting sense of security<br />or security as a science (and how to make your boss understand)

Dependence and parallelization

DEPARTMENT: Blogs

Dependence and parallelization

By Fahad Khalid

HTML | In the Digital Library
Tags: Compilers

An interview with the director of biomedical informatics at Stanford

SECTION: Features

An interview with the director of biomedical informatics at Stanford

Russ Altman discusses how computational biology is rapidly transforming clinical practice, particularly in his own field of pharmacogenomics.

By Cristina Pop, Billy Rathje

HTML | In the Digital Library
Tags: Computing / technology policy, Computing occupations, Life and medical sciences

Computational and statistical issues in personalized medicine

OPEN ACCESS

Computational and statistical issues in personalized medicine

Computational methods can be used to find associations between our genome and our traits, and new optimizations to these computations promise to do it much faster.

By Christoph Lippert, David Heckerman

HTML | In the Digital Library
Tags: Computing / technology policy, Life and medical sciences, Probability and statistics

Fighting disease with data

Fighting disease with data

Recent advances in genome typing and sequencing technologies have enabled quick generation of a vast amount of molecular data at very low cost. The mining and computational analysis of this type of data can help shape new diagnostic and therapeutic strategies in biomedicine.

By Marina Sirota, Bin Chen

HTML | In the Digital Library
Tags: Computing / technology policy, Information systems applications, Life and medical sciences

Advancing the frontier of data-driven healthcare

Advancing the frontier of data-driven healthcare

Suchi Saria of Johns Hopkins University shares how big data and machine learning can help improve the practice of healthcare, and how computing students can contribute.

By Narges Razavian

HTML | In the Digital Library
Tags: Computing / technology policy, Information systems applications, Life and medical sciences, Software development methods

Disease dietomics

A conversation with Vijay Pande

A conversation with Vijay Pande

The director of Stanford University's Pande Lab discusses how his work with large-scale, distributed simulation is being used to study protein folding and its connection to disease.

By Cristina Pop

HTML | In the Digital Library
Tags: Computing / technology policy, Concurrent programming languages, Life and medical sciences

Hidden Markov models and mouse ultrasonic vocalizations

Hidden Markov models and mouse ultrasonic vocalizations

An introduction to Markov models, their significance, and an explanation of how a hidden Markov model can be used to model the ultrasonic calls made by mice.

By Adam A. Smith

HTML | In the Digital Library
Tags: Life and medical sciences, Probability and statistics

Big data comes in tiny packages

Big data comes in tiny packages

Single-cell data creates computational opportunities for discovery in disease and human health.

By Karen Sachs, Tiffany Chen

HTML | In the Digital Library
Tags: Computing / technology policy, Life and medical sciences

Digital drivers in the age of massive datasets

Digital drivers in the age of massive datasets

How technology enables the data geek in life sciences and healthcare.

By Sarah Aerni, Hulya Farinas, Gautam Muralidhar

HTML | In the Digital Library
Tags: Computing / technology policy, Information systems applications, Life and medical sciences

Profile Sriram Kosuri<br />Never mind the cloud, back up your selfies to DNA

Cancer Research UK Cambridge Institute<br />University of Cambridge, United Kingdom

Gene expression profiling

Hidden Genes: Understanding cancer data with matrix factorization