scholarly journals GIGGLE: a search engine for large-scale integrated genome analysis

2018 ◽  
Vol 15 (2) ◽  
pp. 123-126 ◽  
Author(s):  
Ryan M Layer ◽  
Brent S Pedersen ◽  
Tonya DiSera ◽  
Gabor T Marth ◽  
Jason Gertz ◽  
...  
Keyword(s):  
Search Engine ◽  
Genome Analysis ◽  
Large Scale

scholarly journals GIGGLE: a search engine for large-scale integrated genome analysis

2017 ◽  
Author(s):  
Ryan M. Layer ◽  
Brent S. Pedersen ◽  
Tonya DiSera ◽  
Gabor T. Marth ◽  
Jason Gertz ◽  
...  
Keyword(s):  
Data Integration ◽  
Search Engine ◽  
Genome Analysis ◽  
Large Scale ◽  
Hypothesis Generation ◽  
Link Type

AbstractGIGGLE is a genomics search engine that identifies and ranks the significance of shared genomic loci between query features and thousands of genome interval files. GIGGLE scales to billions of intervals, is faster (+1,000X) than existing methods, and its speed extends the accessibility and utility of resources such as ENCODE, Roadmap Epigenomics, and GTEX by facilitating data integration and hypothesis generation. GIGGLE is available at https://github.com/ryanlayer/giggle.

scholarly journals The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Large Scale ◽  
Web Search ◽  
Primary Elections ◽  
Virtual Agents ◽  
Search Results ◽  
Presidential Primary ◽  
Large Scale Analysis ◽  
Algorithmic Information

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.

Reliability of a Distributed Search Engine for Fresh Information Retrieval in Large-Scale Intranet

2006 ◽  
pp. 203-216
Author(s):  
Nobuyoshi Sato ◽  
Minoru Udagawa ◽  
Minoru Uehara ◽  
Yoshifumi Sakai ◽  
Hideki Mori
Keyword(s):  
Information Retrieval ◽  
Search Engine ◽  
Large Scale ◽  
Distributed Search

scholarly journals Piggy: a rapid, large-scale pan-genome analysis tool for intergenic regions in bacteria

GigaScience ◽  
2018 ◽  
Vol 7 (4) ◽  
Author(s):  
Harry A Thorpe ◽  
Sion C Bayliss ◽  
Samuel K Sheppard ◽  
Edward J Feil
Keyword(s):  
Genome Analysis ◽  
Large Scale ◽  
Analysis Tool ◽  
Pan Genome ◽  
Intergenic Regions

Design and Implementation of Book Information Corpus Collection Tool Based on Web

2013 ◽  
Vol 427-429 ◽  
pp. 2122-2125
Author(s):  
Wen Zhao Liu ◽  
Li Min Niu ◽  
Jun Jie Chen
Keyword(s):  
Information Extraction ◽  
Search Engine ◽  
Large Scale ◽  
Design And Implementation ◽  
Automatic Collection

Under the aims at corpus automatic collection on the process of the large-scale Lexicography corpus collection, the paper described corpus collection Technology which is based on Web. And then, the paper introduces the book information corpus tool, including how to make use of the technique of search engine and information extraction in our system.

scholarly journals Knowledge Graph Construction and Applications for Web Search and Beyond

2019 ◽  
Vol 1 (4) ◽  
pp. 333-349 ◽  
Author(s):  
Peilu Wang ◽  
Hao Jiang ◽  
Jingfang Xu ◽  
Qi Zhang
Keyword(s):  
Search Engine ◽  
Intelligent Systems ◽  
Large Scale ◽  
Web Search ◽  
Question Answering ◽  
Knowledge Graph ◽  
Graph Databases ◽  
Distributed Search ◽  
Knowledge Based ◽  
Dialog System

Knowledge graph (KG) has played an important role in enhancing the performance of many intelligent systems. In this paper, we introduce the solution of building a large-scale multi-source knowledge graph from scratch in Sogou Inc., including its architecture, technical implementation and applications. Unlike previous works that build knowledge graph with graph databases, we build the knowledge graph on top of SogouQdb, a distributed search engine developed by Sogou Web Search Department, which can be easily scaled to support petabytes of data. As a supplement to the search engine, we also introduce a series of models to support inference and graph based querying. Currently, the data of Sogou knowledge graph that are collected from 136 different websites and constantly updated consist of 54 million entities and over 600 million entity links. We also introduce three applications of knowledge graph in Sogou Inc.: entity detection and linking, knowledge based question answering and knowledge based dialog system. These applications have been used in Web search products to help user acquire information more efficiently.

An alternative to radiation hybrid mapping for large-scale genome analysis in barley

2005 ◽  
Vol 274 (6) ◽  
pp. 589-594 ◽  
Author(s):  
Ali Masoudi-Nejad ◽  
Shuhei Nasuda ◽  
Marie-Therese Bihoreau ◽  
Robbie Waugh ◽  
Takashi Ryu Endo
Keyword(s):  
Genome Analysis ◽  
Radiation Hybrid ◽  
Large Scale ◽  
Radiation Hybrid Mapping ◽  
Hybrid Mapping

The Bologna Annotation Resource: a Non Hierarchical Method for the Functional and Structural Annotation of Protein Sequences Relying on a Comparative Large-Scale Genome Analysis

2009 ◽  
Vol 8 (9) ◽  
pp. 4362-4371 ◽  
Author(s):  
Lisa Bartoli ◽  
Ludovica Montanucci ◽  
Raffaele Fronza ◽  
Pier Luigi Martelli ◽  
Piero Fariselli ◽  
...  
Keyword(s):  
Genome Analysis ◽  
Large Scale ◽  
Protein Sequences ◽  
Structural Annotation ◽  
Hierarchical Method
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