We aimed to develop a pipeline for the bioinformatic analysis and interpretation of NGS data and detection of a wide range of single-nucleotide somatic mutations within tumor DNA. Initially, the NGS reads were submitted to a quality control check by the Cutadapt program. Low-quality 3¢-nucleotides were removed. After that the reads were mapped to the reference genome hg19 (GRCh37.p13) by BWA. The SAMtools program was used for exclusion of duplicates. MuTect was used for SNV calling. The functional effect of SNVs was evaluated using the algorithm, including annotation and evaluation of SNV pathogenicity by SnpEff and analysis of such databases as COSMIC, dbNSFP, Clinvar, and OMIM. The effect of SNV on the protein function was estimated by SIFT and PolyPhen2. Mutation frequencies were obtained from 1000 Genomes and ExAC projects, as well as from our own databases with frequency data. In order to evaluate the pipeline we used 18 breast cancer tumor biopsies. The MYbaits Onconome KL v1.5 Panel ("MYcroarray") was used for targeted enrichment. NGS was performed on the Illumina HiSeq 2500 platform. As a result, we identified alterations in BRCA1, BRCA2, ATM, CDH1, CHEK2, TP53 genes that affected the sequence of encoded proteins. Our pipeline can be used for effective search and annotation of tumor SNVs. In this study, for the first time, we have tested this pipeline for NGS data analysis of samples from patients of the Russian population. However, further confirmation of efficiency and accuracy of the pipeline is required on NGS data from larger datasets as well as data from several types of solid tumors.Tsel'iu issledovaniia byla razrabotka i testirovanie protokola dlia bioinformaticheskoĭ obrabotki NGS-dannykh dlia éffektivnogo poiska mutatsiĭ v genome solidnykh opukholeĭ. Soglasno razrabotannomu protokolu na nachal'nom étape provodili otsenku kachestva prochteniĭ nukleotidov. Nukleotidy s kachestvom prochteniia nizhe 10 udaliali s 3¢-kontsa s pomoshch'iu programmy Cutadapt. Dalee prochteniia kartirovali na referensnyĭ genom hg19 (GRCh37.p13) s pomoshch'iu programmy BWA. Deduplikatsiiu ridov vypolniali spetsializirovannoĭ programmoĭ SAMtools. Dlia raspoznavaniia odnonukleotidnykh variantov primeniali MuTect. Kompleksno otsenivali funktsional'nyĭ éffekt mutatsiĭ na osnove algoritma, vkliuchaiushchego annotirovanie i otsenku patogennosti s pomoshch'iu programmnogo resheniia SnpEff, a takzhe analiza takikh baz dannykh, kak COSMIC, dbNSFP, Clinvar, OMIM. Dopolnitel'no dlia otsenki éffekta na funktsiiu kodiruemogo belka primeniali utility SIFT i Poly-Phen2. Informatsiiu o chastote mutatsiĭ poluchali na osnove dannykh proektov 1000 Genomes i ExAC, a takzhe sobstvennoĭ bazy dannykh chastot. Dlia provedeniia testirovaniia protokola byl proveden analiz 18 obraztsov biopsii opukholeĭ molochnoĭ zhelezy. Sekvenirovanie obraztsov provodili na platforme Illumina. Dlia targetnogo obogashcheniia kodiruiushchikh regionov genoma ispol'zovali nabor reagentov MYbaits Onconome KL v1.5 Panel (“MYcroarray,” SShA). Po rezul'tatam bioinformaticheskoĭ obrabotki dannykh sekvenirovaniia obnaruzheno mnozhestvo mutatsiĭ v genakh BRCA1, BRCA2, ATM, CDH1, CHEK2, TP53, v tom chisle mutatsii-draĭvery, okazyvaiushchie vliianie na aminokislotnuiu posledovatel'nost' kodiruemogo belka. Takim obrazom, predlagaemyĭ nami bioinformaticheskiĭ protokol pozvoliaet éffektivno vypolniat' avtomaticheskuiu obrabotku NGS-dannykh obraztsov opukholeĭ i obnaruzhivat' mutatsii. Dannyĭ protokol dlia bioinformaticheskoĭ obrabotki dannykh vpervye aprobirovan na vyborke obraztsov opukholeĭ iz rossiĭskoĭ populiatsii. Dlia podtverzhdeniia éffektivnosti i tochnosti predlagaemogo protokola v dal'neĭshem neobkhodimo testirovanie algoritma na dannykh sekvenirovaniia razlichnykh form opukholeĭ.