Search Results - "Prodanov, Timofey"

Robust and accurate estimation of paralog-specific copy number for duplicated genes using whole-genome sequencing by Prodanov, Timofey, Bansal, Vikas

“…The human genome contains hundreds of low-copy repeats (LCRs) that are challenging to analyze using short-read sequencing technologies due to extensive copy…”
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Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis by Ivanov, Maxim, Matsvay, Alina, Glazova, Olga, Krasovskiy, Stanislav, Usacheva, Mariya, Amelina, Elena, Chernyak, Aleksandr, Ivanov, Mikhail, Musienko, Sergey, Prodanov, Timofey, Kovalenko, Sergey, Baranova, Ancha, Khafizov, Kamil

“…Cystic fibrosis (CF) is one of the most common life-threatening genetic disorders. Around 2000 variants in the CFTR gene have been identified, with some…”
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A multilocus approach for accurate variant calling in low-copy repeats using whole-genome sequencing by Prodanov, Timofey, Bansal, Vikas

“…Abstract Motivation Low-copy repeats (LCRs) or segmental duplications are long segments of duplicated DNA that cover > 5% of the human genome. Existing tools…”
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Sensitive alignment using paralogous sequence variants improves long-read mapping and variant calling in segmental duplications by Prodanov, Timofey, Bansal, Vikas

“…Abstract The ability to characterize repetitive regions of the human genome is limited by the read lengths of short-read sequencing technologies. Although…”
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Read Mapping, Variant Calling, and Copy Number Variation Detection in Segmental Duplications by Prodanov, Timofey

“…Segmental duplications or low-copy repeats (LCRs) are long segments of duplicated DNA that cover more than 5% of the human genome and overlap more than 600…”
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Impact and characterization of serial structural variations across humans and great apes by Höps, Wolfram, Rausch, Tobias, Jendrusch, Michael, Korbel, Jan O., Sedlazeck, Fritz J.

“…Modern sequencing technology enables the systematic detection of complex structural variation (SV) across genomes. However, extensive DNA rearrangements…”
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Randomized algorithms with adaptive tuning of parameters for detecting communities in graphs by Amelina, Natalia, Granichin, Oleg, Granichina, Olga, Kirianovskii, Ilia, Prodanov, Timofey

“…In the last years, the study of complex networks grows rapidly and search of tightly connected groups of nodes, or community detection, has proved to be a…”
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