Relevant bibliographies by topics / Dati NGS

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dati NGS'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Dati NGS"

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Tatebale, Rivaldo, Orbanus Naharia, and Helen J. Lawalata. "Isolation and Identification of Lactic Acid Bacteria from Red Dragon Fruit (Hylocereus polyrhicus) as Exopolysaccharide Producers." Indonesian Biodiversity Journal 5, no. 1 (2024): 8–19. https://doi.org/10.53682/ibj.v5i1.7730.

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Cherry tomatoes are a type of Red Dragon Fruit that has various benefits, including lowering cholesterol levels, preventing colon cancer, and strengthening the working power of muscles. Isolation of LAB isolated from Dragon Fruit as a production material for EPS. This study aims to isolate and identify LAB as a producer of EPS from red dragon fruit (Hylocereus polyrhiruz), which can produce exopolysaccharides. This research uses a descriptive research method. Data from experimental research in the laboratory obtained 10 LAB isolates, namely isolates NG1, NG2, NG3, NG4, NG5, NG6, NG7, NG8, NG9
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Rabbone, I. "Medicina di precisione: il diabete monogenico." Journal of AMD 26, no. 2 (2023): 128. http://dx.doi.org/10.36171/jamd23.26.2.9.

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Il diabete monogenico è una forma di diabete su base genetica, determinata da mutazioni a carico di un singolo gene e/o locus cromosomico con conseguente deficit del numero o della funzione della beta cellula pancreatica. Nonostante gli innumerevoli passi avanti compiuti in ambito diagnostico-terapeutico, risulta talvolta ancora difficile giungere ad una diagnosi precoce di diabete monogenico. Per tale ragione è stata sviluppata l’idea di una medicina di precisione nel diabete, definendola come un approccio utile ad ottimizzare diagnosi, prevenzione, trattamento, prognosi e monitoraggio della
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Doan, Tri. "Investigator-Completed NGS Data Analysis." Clinical OMICs 1, no. 10 (2014): 22–23. http://dx.doi.org/10.1089/clinomi.01.10.08.

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Valverde, Jose R., Jose M. Rodríguez, Alexandro Rodriguez-Rojas, Alejandro Couce, and Jesus Blazquez. "NGS data analysis: the user POV." EMBnet.journal 17, B (2012): 15. http://dx.doi.org/10.14806/ej.17.b.263.

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Eberhard, D. "SP008 Clinical reporting of NGS data." European Journal of Cancer 49 (November 2013): S3. http://dx.doi.org/10.1016/s0959-8049(13)70086-8.

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Cantalupo, Paul G., and James M. Pipas. "Detecting viral sequences in NGS data." Current Opinion in Virology 39 (December 2019): 41–48. http://dx.doi.org/10.1016/j.coviro.2019.07.010.

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Pitluk, Zachary. "NGS Big Data Issues for Biomanufacturing." Genetic Engineering & Biotechnology News 37, no. 2 (2017): 30–31. http://dx.doi.org/10.1089/gen.37.02.16.

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Cybin, Aleksander, Vadim Sharov, Yuliya Putintseva, Sergey Feranchuk, and Dmitry Kuzmin. "Parallel repeats filtration algorithm of NGS ILLUMINA data." Proceedings of the Russian higher school Academy of sciences, no. 4 (December 20, 2016): 99–110. http://dx.doi.org/10.17212/1727-2769-2016-4-99-110.

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An, Omer, Kar-Tong Tan, Ying Li, et al. "CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing." International Journal of Molecular Sciences 21, no. 11 (2020): 3828. http://dx.doi.org/10.3390/ijms21113828.

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Next-generation sequencing (NGS) has been a widely-used technology in biomedical research for understanding the role of molecular genetics of cells in health and disease. A variety of computational tools have been developed to analyse the vastly growing NGS data, which often require bioinformatics skills, tedious work and a significant amount of time. To facilitate data processing steps minding the gap between biologists and bioinformaticians, we developed CSI NGS Portal, an online platform which gathers established bioinformatics pipelines to provide fully automated NGS data analysis and shar
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Brookman-Amissah, Nicola. "Generating Robust NGS Data for Personalized Medicine." Clinical OMICs 2, no. 1 (2015): 24–26. http://dx.doi.org/10.1089/clinomi.02.01.09.

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Dissertations / Theses on the topic "Dati NGS"

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LAMONTANARA, ANTONELLA. "Sviluppo ed applicazione di pipilines bioinformatiche per l'analisi di dati NGS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2015. http://hdl.handle.net/10280/6068.

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Lo sviluppo delle tecnologie di sequenziamento ha portato alla nascita di strumenti in grado di produrre gigabasi di dati di sequenziamento in una singola corsa. Queste tecnologie, comunemente indicate come Next Generation Sequencing o NGS, producono grandi e complessi dataset la cui analisi comporta diversi problemi a livello bioinformatico. L'analisi di questo tipo di dati richiede la messa a punto di pipelines computazionali il cui sviluppo richiede un lavoro di scripting necessario per concatenare i softwares già esistenti. Questa tesi tratta l'aspetto metodologico dell'analisi di dati NGS
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LAMONTANARA, ANTONELLA. "Sviluppo ed applicazione di pipilines bioinformatiche per l'analisi di dati NGS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2015. http://hdl.handle.net/10280/6068.

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Lo sviluppo delle tecnologie di sequenziamento ha portato alla nascita di strumenti in grado di produrre gigabasi di dati di sequenziamento in una singola corsa. Queste tecnologie, comunemente indicate come Next Generation Sequencing o NGS, producono grandi e complessi dataset la cui analisi comporta diversi problemi a livello bioinformatico. L'analisi di questo tipo di dati richiede la messa a punto di pipelines computazionali il cui sviluppo richiede un lavoro di scripting necessario per concatenare i softwares già esistenti. Questa tesi tratta l'aspetto metodologico dell'analisi di dati NGS
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Giannini, Simone. "Strumenti statistici per elaborazione dati su sequenziamenti di genoma umano." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12059/.

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L'analisi del DNA è una delle chiavi per la comprensione della vita e dei suoi funzionamenti. Le tecniche di sequenziamento di nuova generazione NGS permettono una analisi parallela di molte sequenze che hanno reso possibili i sequenziamenti di genomi interi e l'impiego di questi dati in una vasta gamma di studi. In questa tesi verranno descritte le principali tecniche di sequenziamento NGS. Per quanto riguarda il genoma umano si tratteranno alcune tematiche di studio di varianti affrontate dal gruppo 1000Genomes. Nella fase conclusiva si introdurranno definizioni di statistica utili nell'affr
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DENTI, LUCA. "Algorithms for analyzing genetic variability from Next-Generation Sequencing data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/263551.

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Il DNA contiene l'informazione genetica che è essenziale per il corretto sviluppo di qualsiasi organismo. Essere in grado di analizzare il DNA risulta indispensabile per comprendere le cause di malattie e tumori e per migliorare la qualità delle nostre vite. Lo sviluppo delle tecniche di sequenziamento del DNA ha rivoluzionato il modo in cui queste analisi sono eseguite. A causa dell'immensa quantità di dati biologici disponibili, oggigiorno l'informatica gioca un ruolo fondamentale nella loro analisi. Fortunatamente in molte applicazioni l'informazione biologica contenuta in una molecola di D
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Bombonato, Juliana Rodrigues. "Dados filogenômicos para inferência de relações evolutivas entre espécies do gênero Cereus Mill. (Cactaceae, Cereeae)." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/59/59139/tde-08062018-160032/.

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Estudos filogenômicos usando Sequenciamento de Próxima Geração (do inglês, Next Generation Sequencing - NGS) estão se tornando cada vez mais comuns. O uso de marcadores oriundos do sequenciamento de DNA de uma biblioteca genômica reduzida, neste caso ddRADSeq (do inglês, Double Digestion Restriction Site Associated DNA Sequencing), para este fim é promissor, pelo menos considerando sua relação custo-benefício em grandes conjuntos de dados de grupos não-modelo, bem como a representação genômica recuperada. Aqui usamos ddRADSeq para inferir a filogenia em nível de espécie do gênero Cereus (Cacta
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Alic, Andrei Stefan. "Improved Error Correction of NGS Data." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/67630.

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[EN] The work done for this doctorate thesis focuses on error correction of Next Generation Sequencing (NGS) data in the context of High Performance Computing (HPC). Due to the reduction in sequencing cost, the increasing output of the sequencers and the advancements in the biological and medical sciences, the amount of NGS data has increased tremendously. Humans alone are not able to keep pace with this explosion of information, therefore computers must assist them to ease the handle of the deluge of information generated by the sequencing machines. Since NGS is no longer just a research t
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Spáčil, Michael. "Zálohování dat a datová úložiště." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444686.

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The diploma thesis is focused on the design of a backup system to increase the efficiency of working with stored data and increase the security of stored data. The analysis of the current state describes the company itself and also the backup system using the audit portal Zefis.cz. The following part describes the design of a new backup system that focuses on complexity using the cloud, magnetic tapes, and high server availability.
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Hriadeľ, Ondřej. "Návrh a implementace plánu zálohování dat společnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-399540.

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This diploma thesis is focused on the development of a new backup plan and its implementation. In introductory part of the thesis I explore the theorethical backround of data backup and data management. Next part is dedicated to analysis of current state and investor requierements. Last part is aimed to implementation of new backup plan with focusing on economic and quality point of view. Besides concept and realization of backup plan the concept of the backup directive is created .
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Chen, Dao-Peng. "Statistical power for RNA-seq data to detect two epigenetic phenomena." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357248975.

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Janíček, Libor. "Zálohování dat a datová úložiště." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417707.

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The master´s thesis focuses on problematics associated with data backup and storages. It deals with the realistic data backup issue at a real municipal office. Part of the work is a thorough analysis of the current state and suggestions for improvement.
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Books on the topic "Dati NGS"

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Sentā, Kokusai Kyōryoku NGO. NGO dēta bukku, 2011: Sūji de miru Nihon no NGO = Data book on Japanese NGOs, 2011. Gaimushō Kokusai Kyōryokukyoku Minkan Enjo Renkeishitsu Gaimushō Shusai Heisei 22-nendo NGO ni Yoru Tēma Betsu Nōryoku Kōjō Puroguramu "NGO no Soshiki, Katsudō ni Kakawaru Dēta Bukku Sakusei", 2011.

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Sentā, Kokusai Kyōryoku NGO. NGO dēta bukku, 2011: Sūji de miru Nihon no NGO = Data book on Japanese NGOs, 2011. Gaimushō Kokusai Kyōryokukyoku Minkan Enjo Renkeishitsu Gaimushō Shusai Heisei 22-nendo NGO ni Yoru Tēma Betsu Nōryoku Kōjō Puroguramu "NGO no Soshiki, Katsudō ni Kakawaru Dēta Bukku Sakusei", 2011.

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Ahmad, Rofiq. Perkebunan dari NES ke PIR. Puspa Swara, 1998.

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McLafferty, F. W. TheW iley/NBS registry of mass spectral data. Wiley, 1989.

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R. O. van Everdingen Research Specialties Limited. Halifax International Airport, N.S.: Hydrological and geochemical data. R.O. van Everdingen Research Specialities, 1988.

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K, Eaton C., Young Bruce, and Research Institute for Advanced Computer Science (U.S.), eds. Data communication requirements for the advanced NAS network. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1987.

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McLafferty, Fred W. The Wiley/NBS registry of mass spectral data. Wiley, 1989.

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United States. National Aeronautics and Space Administration., ed. Materials engineering data base: [final report], NAS 8-37780. National Aeronautics and Space Administration, 1995.

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Rockett, John A. The NBS/Harvard Mark VI multi-room fire simulation. U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Buckey, Jay C. "Life sciences data archive scientific development": Contract NAS 9-19190 : final report. National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "Dati NGS"

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Kappelmann-Fenzl, Melanie. "NGS Data." In Next Generation Sequencing and Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3_7.

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Eisele, Marius, and Melanie Kappelmann-Fenzl. "NGS Technologies." In Next Generation Sequencing and Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3_4.

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Kappelmann-Fenzl, Melanie. "Library Construction for NGS." In Next Generation Sequencing and Data Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3_3.

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Wang, Xinkun. "Next-Generation Sequencing (NGS) Technologies." In Next-Generation Sequencing Data Analysis, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9780429329180-6.

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Benoit, Gaetan, Claire Lemaitre, Guillaume Rizk, Erwan Drezen, and Dominique Lavenier. "De Novo NGS Data Compression." In Algorithms for Next-Generation Sequencing Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59826-0_4.

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Guha Neogi, Avirup, Ashraf Eltaher, and Astghik Sargsyan. "NGS Data Analysis with Apache Spark." In Studies in Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08411-9_16.

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Comin, Matteo, and Michele Schimd. "Assembly-Free Techniques for NGS Data." In Algorithms for Next-Generation Sequencing Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59826-0_14.

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Wang, Xinkun. "What's Next for Next-Generation Sequencing (NGS)?" In Next-Generation Sequencing Data Analysis, 2nd ed. CRC Press, 2023. http://dx.doi.org/10.1201/9780429329180-20.

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Theodoridis, Evangelos. "Cloud Storage-Management Techniques for NGS Data." In Algorithms for Next-Generation Sequencing Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59826-0_5.

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Prieto, T., J. M. Alves, and D. Posada. "NGS Analysis of Somatic Mutations in Cancer Genomes." In Big Data Analytics in Genomics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41279-5_11.

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Conference papers on the topic "Dati NGS"

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Ugiansky, G. M., A. C. Van Orden, and D. E. Clausen. "The NACE-NBS Corrosion Data Program." In CORROSION 1986. NACE International, 1986. https://doi.org/10.5006/c1986-86039.

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Abstract The Corrosion Data Program at NBS addresses the need for evaluated corrosion data and its effective dissemination. The Corrosion Data Center, at NBS, is dedicated to using computers in data collection, evaluation and dissemination. Examples are shown of how some of the outstanding capabilities of computers and computer graphics can be used to provide easy access to evaluated corrosion data. This provides the potential for helping to solve some of the most pressing needs in corrosion data and lowering the overall cost of corrosion to the economy.
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Xiong, Yi, Jianlai Chen, and Buge Liang. "A Ship Imaging Algorithm Based on Modified NCS." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868280.

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Kchouk, Mehdi, Jean-Francois Gibrat, and Mourad Elloumi. "An Error Correction Algorithm for NGS Data." In 2017 28th International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2017. http://dx.doi.org/10.1109/dexa.2017.33.

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Biji C.L., Achuthsankar S. Nair, Arun P.R, and Jojo George. "NGS read data compression using parallel computing algorithm." In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2015. http://dx.doi.org/10.1109/bibm.2015.7359890.

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Колмыков, С. К., И. С. Евшин, Ф. А. Колпаков, and М. А. Куляшов. "ANALYSIS OF NGS DATA ON THE TRANSCRIPTIONAL REGULATION." In XVII Российская конференция “Распределенные информационно-вычислительные ресурсы: Цифровые двойники и большие данные”. Crossref, 2019. http://dx.doi.org/10.25743/ict.2019.80.67.016.

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База данных GTRD (http://gtrd.biouml.org) содержит более 30000 единообразно обработанных NGS экспериментов по регуляции транскрипции (СhIP-seq, ChIP-exo, DNaseseq, ATAC-seq, MNase-seq и FAIRE-seq). Для обработки этих типов данных были разработаны сценарии для системы управления распределенными вычислениями eGrid и платформы BioUML. The GTRD database (http://gtrd.biouml.org) contains over 30,000 uniformly processed NGS experiments on transcriptional regulation (ChIP-seq, ChIP-exo, DNase-seq, ATAC-seq, MNase-seq and FAIRE-seq). To process these types of data, pipelines have been developed for th
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Braga, D., D. Calvanese, A. Campi, et al. "NGS: a framework for multi-domain query answering." In 2008 IEEE 24th International Conference on Data Engineeing workshop (ICDE Workshop 2008). IEEE, 2008. http://dx.doi.org/10.1109/icdew.2008.4498328.

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Lamas, Gustavo Manginelli, Yves Glauber Silva dos Santos, and Marcondes Cavalcante França Jr. "Diagnostic yield of a NGS panel in Brazilian patients with sporadic peripheral neuropathy." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.327.

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Introduction: The etiology of sporadic peripheral neuropathy (PN) remains unclear in a significant proportion of patients. In European and North American surveys, genetic causes have been increasingly recognized in these patients. Little is known about Latin American populations. Objective: We assessed the diagnostic yield of a comprehensive next generation sequencing (NGS) panel in a cohort of Brazilian patients with PN without family history. Potential predictors of genetic etiology in this group were further explored. Methods: We evaluated 41 consecutive adult patients regularly followed wi
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Van Son, David, Floran De Putter, Sebastian Vogel, and Henk Corporaal. "BOMP- NAS: Bayesian Optimization Mixed Precision NAS." In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2023. http://dx.doi.org/10.23919/date56975.2023.10136968.

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Saha, Subrata, and Sanguthevar Rajasekaran. "Efficient algorithms for error correction and compression of NGS data." In 2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2014. http://dx.doi.org/10.1109/iccabs.2014.6863941.

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Lawrence, Aamna, Rahul Shukla, Utkarsh Raj, and Pritish Kumar Varadwaj. "Estimating percentage epigenetic modifications in human genome using NGS data." In 2016 International Conference on Bioinformatics and Systems Biology (BSB). IEEE, 2016. http://dx.doi.org/10.1109/bsb.2016.7552141.

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Reports on the topic "Dati NGS"

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Friske, P. W. B., A. G. Pronk, M. W. McCurdy, et al. National Geochemical Reconnaissance (NGR): Regional stream sediment and water geochemical data, northeastern New Brunswick (NTS 21O/9). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/215455.

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Bracewell, Jeff. Shoreline change at Padre Island National Seashore, Texas: 2017–2021 data summary. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2289824.

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In the spring of 2017, 2019, and 2021 the Gulf Coast Network collected shoreline position data at Padre Island National Seashore as a part of the NPS Vital Signs Monitoring Program. Monitoring was conducted following methods detailed in Monitoring Shoreline Position at Gulf Coast Network Parks: Protocol Implementation Plan (PIP; Bracewell 2017). Shoreline change was calculated using the Digital Shoreline Analysis System developed by USGS (Theiler et al. 2008). This report provides a summary of changes in shoreline position at Padre Island NS from May 2017 through May 2021.
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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management
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Kannan, K. P., Kalyanna Be, Vou Piseth Vong, and Kimthy Chao. Construction of Consumer Price Index for Cambodia: A Review of Current Practices and Suggestions for Improvement. Cambodia Development Resource Institute, 1995. https://doi.org/10.64202/wp.01.199511.

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This paper attempts an evaluation of the current practices in the construction of consumer price index in Cambodia and offers some suggestions for improvement. It finds that there are many organizations in Cambodia, both within and outside the Government, that are engaged in the collection of consumer price data while some of them construct and publish consumer price index. The paper finds that by far the most scientific system of collection and construction of consumer price index is that of the National Institute of Statistics which has only recently established its system for the purpose. H
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Sinha, Ria. NGOs and tribal development. Indian School of Development Management, 2024. https://doi.org/10.58178/246.1046.

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Non-governmental Organisations (NGOs) play an important role in addressing deep-rooted challenges such as marginalisation, that hamper the socio-economic progress of the tribal community in Palghar district of Maharashtra. They, in collaboration with the (state) government, serve as catalysts that can bring about systemic change. This study uses the multi-case study approach to examine NGOs working in the education sector and those that provide livelihood interventions in Palghar district (Maharashtra). Insights were drawn through semi-structured interviews, and a comprehensive analysis of doc
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Friske, P. W. B., W. Jackaman, R. E. W. Lett, and M. W. McCurdy. National Geochemical Reconnaissance (NGR): Regional stream sediment and water geochemical data, northwestern British Columbia (NTS 104A and 104H). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/220856.

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Hasan, Abid, and Wahid bin Ahsan. Veterinary Care Challenges for Stray Animals in Bangladesh: Awareness, Logistics, and Policy Solutions. Userhub, 2024. http://dx.doi.org/10.58947/journal.hztr23.

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This study investigates the key challenges in providing veterinary care for stray animals in Bangladesh, using a mixed-methods approach. Data were collected through qualitative interviews with veterinarians, caregivers, and NGO representatives in Dhaka (n=13), and quantitative surveys from urban, suburban, and rural areas across the country (n=100). The findings reveal critical barriers, including low public awareness of zoonotic health risks, logistical difficulties in capturing and transporting animals, and financial constraints faced by caregivers. Additionally, weak policy enforcement and
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Talpey, T., and B. Callaghan. Network File System (NFS) Direct Data Placement. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc5667.

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Lyles, B., and T. Mihevc. NTS groundwater recharge study, FY 1992. Data report. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10123053.

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Koning, Arjan, and Roberto Capote Noy, eds. Report of the IAEA Nuclear Data Section to the International Nuclear Data Committee for the period January 2016 - December 2017. IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.0mqz-qj78.

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This report contains details of the main activities of the IAEA Nuclear Data Section (NDS) during 2016 and 2017, and is provided as information to the International Nuclear Data Committee (INDC). NDS staff and affiliated consultants have focused their work on analysing and fulfilling data development needs and ensuring adequate, trouble-free services to all users in Member States. The present information is complemented with descriptions of other related activities in the reporting period, including meetings and publications. The atomic and molecular data projects are presented to the INDC for
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