Integrated Computer Analysis of Genomic Sequencing Data Based on ICGenomics Tool

Yuriy L. Orlov, Anatoly O. Bragin, Roman O. Babenko, Alina E. Dresvyannikova, Sergey S. Kovalev, Igor A. Shaderkin, Nina G. Orlova, Fedor M. Naumenko

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

Fast growth of sequencing data volume demands development of new program systems for processing, storage and analysis of sequencing data. Here we review approaches for data bioinformatics integration using complementary approaches in genomics, proteomics and supercomputer calculations on example of ICGenomics tool. The program complex ICGenomics has been designed previously in Novosibirsk for storage, mining, and analysis of genomic sequences. This tool enables wet-lab biologists to perform high-quality processing of sequencing data in the fields of genomics, biomedicine, and biotechnology. Overall, integrated software tools have to include novel methods of the processing of initial high-throughput sequencing data including gene expression data. Examples of the application areas are: ChIP-seq analysis; functional annotation of gene regulatory regions in nucleotide sequences; prediction of nucleosome positioning; and structural and functional annotation of proteins, including prediction of their allergenicity parameters, as well as estimates of evolution changes in protein families. Applications of the ICGenomics to the analysis of genomic sequences in model genomes are shown. We conclude the presentation by on machine learning methods adaptation in bioinformatics. The ICGenomics tool is available at http://www-bionet.sscc.ru/icgenomics/.

Язык оригиналаанглийский
Название основной публикацииAdvances in Intelligent Systems, Computer Science and Digital Economics, CSDEIS 2019
РедакторыZhengbing Hu, Sergey Petoukhov, Matthew He
ИздательSpringer Gabler
Страницы154-164
Число страниц11
ISBN (печатное издание)9783030392154
DOI
СостояниеОпубликовано - 24 янв 2020
СобытиеInternational Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019 - Moscow, Российская Федерация
Продолжительность: 4 окт 20196 окт 2019

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том1127 AISC
ISSN (печатное издание)2194-5357
ISSN (электронное издание)2194-5365

Конференция

КонференцияInternational Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019
СтранаРоссийская Федерация
ГородMoscow
Период04.10.201906.10.2019

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