Support vector machines (SVMs) are becoming popular in a wide variety of biological
applications. But, what exactly are SVMs and how do they work? And what are their most …

The field of machine learning, which aims to develop computer algorithms that improve with
experience, holds promise to enable computers to assist humans in the analysis of large, …

The microtubule-associated protein tau is integral to the pathogenesis of Alzheimer's disease
(AD), as well as several related disorders, termed tauopathies, in which tau is deposited in …

The MEME Suite web server provides a unified portal for online discovery and analysis of
sequence motifs representing features such as DNA binding sites and protein interaction …

The ENCyclopedia Of DNA Elements (ENCODE) Project aims to identify all functional elements
in the human genome sequence. The pilot phase of the Project is focused on a specified …

A motif is a short DNA or protein sequence that contributes to the biological function of the
sequence in which it resides. Over the past several decades, many computational methods …

The human and mouse genomes contain instructions that specify RNAs and proteins and
govern the timing, magnitude, and cellular context of their production. To better delineate these …

… Note that W-ChIPMotifs uses MEME for motif discovery. URLs of the servers are provided
in the bibliography. The table does not include servers that require additional inputs, such as …

The prediction of regulatory elements is a problem where computational methods offer great
hope. Over the past few years, numerous tools have become available for this task. The …

Shotgun proteomics uses liquid chromatography–tandem mass spectrometry to identify
proteins in complex biological samples. We describe an algorithm, called Percolator, for …