Vladimir Semenyuk

TL;DR: The Graph Genome Pipeline as discussed by the authors is a graph reference genome implementation that enables read alignment across 2,800 diploid genomes encompassing 12.6 million SNPs and 4.0 million insertions and deletions (indels).

TL;DR: The precisionFDA Truth Challenge V2 aimed to assess the state-of-the-art of variant calling in difficult-to-map regions and the Major Histocompatibility Complex and new methods out-performed the 2016 Truth Challenge winners.

TL;DR: In this article, a method and apparatus for coding information that is specifically adapted for smaller presentation formats, such as in a hand held video player, is presented, inter alia, reducing the complexity of video decoding, implementation of an MP3 decoder using fixed point arithmetic, fast YcbCr to RGB conversion, encapsulation of a video stream and an MP 3 audio stream into an AVI file, storing menu navigation and DVD subpicture information on a memory card, synchronization of audio and video streams, encryption of keys that are used for decryption of multimedia data, and

TL;DR: This work presents a graph genome implementation that enables read alignment across 2,800 diploid genomes encompassing 12.6 million SNPs and 4.0 million indels and shows that iterative augmentation of graph genomes yields incremental gains in variant calling accuracy.

TL;DR: In this article, the authors propose a method for analyzing sequence data in which a large amount and variety of reference data are efficiently modeled as a reference graph, such as a directed acyclic graph (DAG).