--- _id: '7159' abstract: - lang: eng text: 'Cyber-physical systems (CPS) and the Internet-of-Things (IoT) result in a tremendous amount of generated, measured and recorded time-series data. Extracting temporal segments that encode patterns with useful information out of these huge amounts of data is an extremely difficult problem. We propose shape expressions as a declarative formalism for specifying, querying and extracting sophisticated temporal patterns from possibly noisy data. Shape expressions are regular expressions with arbitrary (linear, exponential, sinusoidal, etc.) shapes with parameters as atomic predicates and additional constraints on these parameters. We equip shape expressions with a novel noisy semantics that combines regular expression matching semantics with statistical regression. We characterize essential properties of the formalism and propose an efficient approximate shape expression matching procedure. We demonstrate the wide applicability of this technique on two case studies. ' alternative_title: - LNCS article_processing_charge: No author: - first_name: Dejan full_name: Ničković, Dejan last_name: Ničković - first_name: Xin full_name: Qin, Xin last_name: Qin - first_name: Thomas full_name: Ferrere, Thomas id: 40960E6E-F248-11E8-B48F-1D18A9856A87 last_name: Ferrere orcid: 0000-0001-5199-3143 - first_name: Cristinel full_name: Mateis, Cristinel last_name: Mateis - first_name: Jyotirmoy full_name: Deshmukh, Jyotirmoy last_name: Deshmukh citation: ama: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. Shape expressions for specifying and extracting signal features. In: 19th International Conference on Runtime Verification. Vol 11757. Springer Nature; 2019:292-309. doi:10.1007/978-3-030-32079-9_17' apa: 'Ničković, D., Qin, X., Ferrere, T., Mateis, C., & Deshmukh, J. (2019). Shape expressions for specifying and extracting signal features. In 19th International Conference on Runtime Verification (Vol. 11757, pp. 292–309). Porto, Portugal: Springer Nature. https://doi.org/10.1007/978-3-030-32079-9_17' chicago: Ničković, Dejan, Xin Qin, Thomas Ferrere, Cristinel Mateis, and Jyotirmoy Deshmukh. “Shape Expressions for Specifying and Extracting Signal Features.” In 19th International Conference on Runtime Verification, 11757:292–309. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-32079-9_17. ieee: D. Ničković, X. Qin, T. Ferrere, C. Mateis, and J. Deshmukh, “Shape expressions for specifying and extracting signal features,” in 19th International Conference on Runtime Verification, Porto, Portugal, 2019, vol. 11757, pp. 292–309. ista: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. 2019. Shape expressions for specifying and extracting signal features. 19th International Conference on Runtime Verification. RV: Runtime Verification, LNCS, vol. 11757, 292–309.' mla: Ničković, Dejan, et al. “Shape Expressions for Specifying and Extracting Signal Features.” 19th International Conference on Runtime Verification, vol. 11757, Springer Nature, 2019, pp. 292–309, doi:10.1007/978-3-030-32079-9_17. short: D. Ničković, X. Qin, T. Ferrere, C. Mateis, J. Deshmukh, in:, 19th International Conference on Runtime Verification, Springer Nature, 2019, pp. 292–309. conference: end_date: 2019-10-11 location: Porto, Portugal name: 'RV: Runtime Verification' start_date: 2019-10-08 date_created: 2019-12-09T08:47:55Z date_published: 2019-10-01T00:00:00Z date_updated: 2023-09-06T11:24:10Z day: '01' department: - _id: ToHe doi: 10.1007/978-3-030-32079-9_17 external_id: isi: - '000570006300017' intvolume: ' 11757' isi: 1 language: - iso: eng month: '10' oa_version: None page: 292-309 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25F2ACDE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Rigorous Systems Engineering publication: 19th International Conference on Runtime Verification publication_identifier: isbn: - '9783030320782' - '9783030320799' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Shape expressions for specifying and extracting signal features type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 11757 year: '2019' ... --- _id: '7183' abstract: - lang: eng text: 'A probabilistic vector addition system with states (pVASS) is a finite state Markov process augmented with non-negative integer counters that can be incremented or decremented during each state transition, blocking any behaviour that would cause a counter to decrease below zero. The pVASS can be used as abstractions of probabilistic programs with many decidable properties. The use of pVASS as abstractions requires the presence of nondeterminism in the model. In this paper, we develop techniques for checking fast termination of pVASS with nondeterminism. That is, for every initial configuration of size n, we consider the worst expected number of transitions needed to reach a configuration with some counter negative (the expected termination time). We show that the problem whether the asymptotic expected termination time is linear is decidable in polynomial time for a certain natural class of pVASS with nondeterminism. Furthermore, we show the following dichotomy: if the asymptotic expected termination time is not linear, then it is at least quadratic, i.e., in Ω(n2).' alternative_title: - LNCS article_processing_charge: No author: - first_name: Tomás full_name: Brázdil, Tomás last_name: Brázdil - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Antonín full_name: Kucera, Antonín last_name: Kucera - first_name: Petr full_name: Novotný, Petr id: 3CC3B868-F248-11E8-B48F-1D18A9856A87 last_name: Novotný - first_name: Dominik full_name: Velan, Dominik last_name: Velan citation: ama: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. Deciding fast termination for probabilistic VASS with nondeterminism. In: International Symposium on Automated Technology for Verification and Analysis. Vol 11781. Springer Nature; 2019:462-478. doi:10.1007/978-3-030-31784-3_27' apa: 'Brázdil, T., Chatterjee, K., Kucera, A., Novotný, P., & Velan, D. (2019). Deciding fast termination for probabilistic VASS with nondeterminism. In International Symposium on Automated Technology for Verification and Analysis (Vol. 11781, pp. 462–478). Taipei, Taiwan: Springer Nature. https://doi.org/10.1007/978-3-030-31784-3_27' chicago: Brázdil, Tomás, Krishnendu Chatterjee, Antonín Kucera, Petr Novotný, and Dominik Velan. “Deciding Fast Termination for Probabilistic VASS with Nondeterminism.” In International Symposium on Automated Technology for Verification and Analysis, 11781:462–78. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-31784-3_27. ieee: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, and D. Velan, “Deciding fast termination for probabilistic VASS with nondeterminism,” in International Symposium on Automated Technology for Verification and Analysis, Taipei, Taiwan, 2019, vol. 11781, pp. 462–478. ista: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. 2019. Deciding fast termination for probabilistic VASS with nondeterminism. International Symposium on Automated Technology for Verification and Analysis. ATVA: Automated TEchnology for Verification and Analysis, LNCS, vol. 11781, 462–478.' mla: Brázdil, Tomás, et al. “Deciding Fast Termination for Probabilistic VASS with Nondeterminism.” International Symposium on Automated Technology for Verification and Analysis, vol. 11781, Springer Nature, 2019, pp. 462–78, doi:10.1007/978-3-030-31784-3_27. short: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, D. Velan, in:, International Symposium on Automated Technology for Verification and Analysis, Springer Nature, 2019, pp. 462–478. conference: end_date: 2019-10-31 location: Taipei, Taiwan name: 'ATVA: Automated TEchnology for Verification and Analysis' start_date: 2019-10-28 date_created: 2019-12-15T23:00:44Z date_published: 2019-10-21T00:00:00Z date_updated: 2023-09-06T12:40:58Z day: '21' department: - _id: KrCh doi: 10.1007/978-3-030-31784-3_27 external_id: arxiv: - '1907.11010' isi: - '000723515700027' intvolume: ' 11781' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1907.11010 month: '10' oa: 1 oa_version: Preprint page: 462-478 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication: International Symposium on Automated Technology for Verification and Analysis publication_identifier: eissn: - '16113349' isbn: - '9783030317836' issn: - '03029743' publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Deciding fast termination for probabilistic VASS with nondeterminism type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 11781 year: '2019' ... --- _id: '7182' abstract: - lang: eng text: During infection pathogens secrete small molecules, termed effectors, to manipulate and control the interaction with their specific hosts. Both the pathogen and the plant are under high selective pressure to rapidly adapt and co-evolve in what is usually referred to as molecular arms race. Components of the host’s immune system form a network that processes information about molecules with a foreign origin and damage-associated signals, integrating them with developmental and abiotic cues to adapt the plant’s responses. Both in the case of nucleotide-binding leucine-rich repeat receptors and leucine-rich repeat receptor kinases interaction networks have been extensively characterized. However, little is known on whether pathogenic effectors form complexes to overcome plant immunity and promote disease. Ustilago maydis, a biotrophic fungal pathogen that infects maize plants, produces effectors that target hubs in the immune network of the host cell. Here we assess the capability of U. maydis effector candidates to interact with each other, which may play a crucial role during the infection process. Using a systematic yeast-two-hybrid approach and based on a preliminary pooled screen, we selected 63 putative effectors for one-on-one matings with a library of nearly 300 effector candidates. We found that 126 of these effector candidates interacted either with themselves or other predicted effectors. Although the functional relevance of the observed interactions remains elusive, we propose that the observed abundance in complex formation between effectors adds an additional level of complexity to effector research and should be taken into consideration when studying effector evolution and function. Based on this fundamental finding, we suggest various scenarios which could evolutionarily drive the formation and stabilization of an effector interactome. article_number: '1437' article_processing_charge: No article_type: original author: - first_name: André full_name: Alcântara, André last_name: Alcântara - first_name: Jason full_name: Bosch, Jason last_name: Bosch - first_name: Fahimeh full_name: Nazari, Fahimeh last_name: Nazari - first_name: Gesa full_name: Hoffmann, Gesa last_name: Hoffmann - first_name: Michelle C full_name: Gallei, Michelle C id: 35A03822-F248-11E8-B48F-1D18A9856A87 last_name: Gallei orcid: 0000-0003-1286-7368 - first_name: Simon full_name: Uhse, Simon last_name: Uhse - first_name: Martin A. full_name: Darino, Martin A. last_name: Darino - first_name: Toluwase full_name: Olukayode, Toluwase last_name: Olukayode - first_name: Daniel full_name: Reumann, Daniel last_name: Reumann - first_name: Laura full_name: Baggaley, Laura last_name: Baggaley - first_name: Armin full_name: Djamei, Armin last_name: Djamei citation: ama: Alcântara A, Bosch J, Nazari F, et al. Systematic Y2H screening reveals extensive effector-complex formation. Frontiers in Plant Science. 2019;10(11). doi:10.3389/fpls.2019.01437 apa: Alcântara, A., Bosch, J., Nazari, F., Hoffmann, G., Gallei, M. C., Uhse, S., … Djamei, A. (2019). Systematic Y2H screening reveals extensive effector-complex formation. Frontiers in Plant Science. Frontiers. https://doi.org/10.3389/fpls.2019.01437 chicago: Alcântara, André, Jason Bosch, Fahimeh Nazari, Gesa Hoffmann, Michelle C Gallei, Simon Uhse, Martin A. Darino, et al. “Systematic Y2H Screening Reveals Extensive Effector-Complex Formation.” Frontiers in Plant Science. Frontiers, 2019. https://doi.org/10.3389/fpls.2019.01437. ieee: A. Alcântara et al., “Systematic Y2H screening reveals extensive effector-complex formation,” Frontiers in Plant Science, vol. 10, no. 11. Frontiers, 2019. ista: Alcântara A, Bosch J, Nazari F, Hoffmann G, Gallei MC, Uhse S, Darino MA, Olukayode T, Reumann D, Baggaley L, Djamei A. 2019. Systematic Y2H screening reveals extensive effector-complex formation. Frontiers in Plant Science. 10(11), 1437. mla: Alcântara, André, et al. “Systematic Y2H Screening Reveals Extensive Effector-Complex Formation.” Frontiers in Plant Science, vol. 10, no. 11, 1437, Frontiers, 2019, doi:10.3389/fpls.2019.01437. short: A. Alcântara, J. Bosch, F. Nazari, G. Hoffmann, M.C. Gallei, S. Uhse, M.A. Darino, T. Olukayode, D. Reumann, L. Baggaley, A. Djamei, Frontiers in Plant Science 10 (2019). date_created: 2019-12-15T23:00:43Z date_published: 2019-11-14T00:00:00Z date_updated: 2023-09-06T14:33:46Z day: '14' ddc: - '580' department: - _id: JiFr doi: 10.3389/fpls.2019.01437 external_id: isi: - '000499821700001' pmid: - '31803201' file: - access_level: open_access checksum: 995aa838aec2064d93550de82b40bbd1 content_type: application/pdf creator: dernst date_created: 2019-12-16T07:58:43Z date_updated: 2020-07-14T12:47:52Z file_id: '7185' file_name: 2019_FrontiersPlant_Alcantara.pdf file_size: 1532505 relation: main_file file_date_updated: 2020-07-14T12:47:52Z has_accepted_license: '1' intvolume: ' 10' isi: 1 issue: '11' language: - iso: eng month: '11' oa: 1 oa_version: Published Version pmid: 1 publication: Frontiers in Plant Science publication_identifier: eissn: - 1664462X publication_status: published publisher: Frontiers quality_controlled: '1' scopus_import: '1' status: public title: Systematic Y2H screening reveals extensive effector-complex formation tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 10 year: '2019' ... --- _id: '7180' abstract: - lang: eng text: Arabidopsis PIN2 protein directs transport of the phytohormone auxin from the root tip into the root elongation zone. Variation in hormone transport, which depends on a delicate interplay between PIN2 sorting to and from polar plasma membrane domains, determines root growth. By employing a constitutively degraded version of PIN2, we identify brassinolides as antagonists of PIN2 endocytosis. This response does not require de novo protein synthesis, but involves early events in canonical brassinolide signaling. Brassinolide-controlled adjustments in PIN2 sorting and intracellular distribution governs formation of a lateral PIN2 gradient in gravistimulated roots, coinciding with adjustments in auxin signaling and directional root growth. Strikingly, simulations indicate that PIN2 gradient formation is no prerequisite for root bending but rather dampens asymmetric auxin flow and signaling. Crosstalk between brassinolide signaling and endocytic PIN2 sorting, thus, appears essential for determining the rate of gravity-induced root curvature via attenuation of differential cell elongation. article_number: '5516' article_processing_charge: No article_type: original author: - first_name: Katarzyna full_name: Retzer, Katarzyna last_name: Retzer - first_name: Maria full_name: Akhmanova, Maria id: 3425EC26-F248-11E8-B48F-1D18A9856A87 last_name: Akhmanova orcid: 0000-0003-1522-3162 - first_name: Nataliia full_name: Konstantinova, Nataliia last_name: Konstantinova - first_name: Kateřina full_name: Malínská, Kateřina last_name: Malínská - first_name: Johannes full_name: Leitner, Johannes last_name: Leitner - first_name: Jan full_name: Petrášek, Jan last_name: Petrášek - first_name: Christian full_name: Luschnig, Christian last_name: Luschnig citation: ama: Retzer K, Akhmanova M, Konstantinova N, et al. Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications. 2019;10. doi:10.1038/s41467-019-13543-1 apa: Retzer, K., Akhmanova, M., Konstantinova, N., Malínská, K., Leitner, J., Petrášek, J., & Luschnig, C. (2019). Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-019-13543-1 chicago: Retzer, Katarzyna, Maria Akhmanova, Nataliia Konstantinova, Kateřina Malínská, Johannes Leitner, Jan Petrášek, and Christian Luschnig. “Brassinosteroid Signaling Delimits Root Gravitropism via Sorting of the Arabidopsis PIN2 Auxin Transporter.” Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-13543-1. ieee: K. Retzer et al., “Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter,” Nature Communications, vol. 10. Springer Nature, 2019. ista: Retzer K, Akhmanova M, Konstantinova N, Malínská K, Leitner J, Petrášek J, Luschnig C. 2019. Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications. 10, 5516. mla: Retzer, Katarzyna, et al. “Brassinosteroid Signaling Delimits Root Gravitropism via Sorting of the Arabidopsis PIN2 Auxin Transporter.” Nature Communications, vol. 10, 5516, Springer Nature, 2019, doi:10.1038/s41467-019-13543-1. short: K. Retzer, M. Akhmanova, N. Konstantinova, K. Malínská, J. Leitner, J. Petrášek, C. Luschnig, Nature Communications 10 (2019). date_created: 2019-12-15T23:00:43Z date_published: 2019-12-01T00:00:00Z date_updated: 2023-09-06T14:08:21Z day: '01' ddc: - '570' department: - _id: DaSi doi: 10.1038/s41467-019-13543-1 external_id: isi: - '000500508100001' pmid: - '31797871' file: - access_level: open_access checksum: 77e8720a8e0f3091b98159f85be40893 content_type: application/pdf creator: dernst date_created: 2019-12-16T07:37:50Z date_updated: 2020-07-14T12:47:52Z file_id: '7184' file_name: 2019_NatureComm_Retzer.pdf file_size: 5156533 relation: main_file file_date_updated: 2020-07-14T12:47:52Z has_accepted_license: '1' intvolume: ' 10' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 264CBBAC-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02379 name: Modeling epithelial tissue mechanics during cell invasion publication: Nature Communications publication_identifier: eissn: - '20411723' publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 10 year: '2019' ... --- _id: '7181' abstract: - lang: eng text: Multiple sequence alignments (MSAs) are used for structural1,2 and evolutionary predictions1,2, but the complexity of aligning large datasets requires the use of approximate solutions3, including the progressive algorithm4. Progressive MSA methods start by aligning the most similar sequences and subsequently incorporate the remaining sequences, from leaf-to-root, based on a guide-tree. Their accuracy declines substantially as the number of sequences is scaled up5. We introduce a regressive algorithm that enables MSA of up to 1.4 million sequences on a standard workstation and substantially improves accuracy on datasets larger than 10,000 sequences. Our regressive algorithm works the other way around to the progressive algorithm and begins by aligning the most dissimilar sequences. It uses an efficient divide-and-conquer strategy to run third-party alignment methods in linear time, regardless of their original complexity. Our approach will enable analyses of extremely large genomic datasets such as the recently announced Earth BioGenome Project, which comprises 1.5 million eukaryotic genomes6. article_processing_charge: No article_type: original author: - first_name: Edgar full_name: Garriga, Edgar last_name: Garriga - first_name: Paolo full_name: Di Tommaso, Paolo last_name: Di Tommaso - first_name: Cedrik full_name: Magis, Cedrik last_name: Magis - first_name: Ionas full_name: Erb, Ionas last_name: Erb - first_name: Leila full_name: Mansouri, Leila last_name: Mansouri - first_name: Athanasios full_name: Baltzis, Athanasios last_name: Baltzis - first_name: Hafid full_name: Laayouni, Hafid last_name: Laayouni - first_name: Fyodor full_name: Kondrashov, Fyodor id: 44FDEF62-F248-11E8-B48F-1D18A9856A87 last_name: Kondrashov orcid: 0000-0001-8243-4694 - first_name: Evan full_name: Floden, Evan last_name: Floden - first_name: Cedric full_name: Notredame, Cedric last_name: Notredame citation: ama: Garriga E, Di Tommaso P, Magis C, et al. Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. 2019;37(12):1466-1470. doi:10.1038/s41587-019-0333-6 apa: Garriga, E., Di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A., … Notredame, C. (2019). Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-019-0333-6 chicago: Garriga, Edgar, Paolo Di Tommaso, Cedrik Magis, Ionas Erb, Leila Mansouri, Athanasios Baltzis, Hafid Laayouni, Fyodor Kondrashov, Evan Floden, and Cedric Notredame. “Large Multiple Sequence Alignments with a Root-to-Leaf Regressive Method.” Nature Biotechnology. Springer Nature, 2019. https://doi.org/10.1038/s41587-019-0333-6. ieee: E. Garriga et al., “Large multiple sequence alignments with a root-to-leaf regressive method,” Nature Biotechnology, vol. 37, no. 12. Springer Nature, pp. 1466–1470, 2019. ista: Garriga E, Di Tommaso P, Magis C, Erb I, Mansouri L, Baltzis A, Laayouni H, Kondrashov F, Floden E, Notredame C. 2019. Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. 37(12), 1466–1470. mla: Garriga, Edgar, et al. “Large Multiple Sequence Alignments with a Root-to-Leaf Regressive Method.” Nature Biotechnology, vol. 37, no. 12, Springer Nature, 2019, pp. 1466–70, doi:10.1038/s41587-019-0333-6. short: E. Garriga, P. Di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H. Laayouni, F. Kondrashov, E. Floden, C. Notredame, Nature Biotechnology 37 (2019) 1466–1470. date_created: 2019-12-15T23:00:43Z date_published: 2019-12-01T00:00:00Z date_updated: 2023-09-06T14:32:52Z day: '01' department: - _id: FyKo doi: 10.1038/s41587-019-0333-6 ec_funded: 1 external_id: isi: - '000500748900021' pmid: - '31792410' intvolume: ' 37' isi: 1 issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894943/ month: '12' oa: 1 oa_version: Submitted Version page: 1466-1470 pmid: 1 project: - _id: 26580278-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '771209' name: Characterizing the fitness landscape on population and global scales publication: Nature Biotechnology publication_identifier: eissn: - '15461696' issn: - '10870156' publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13059' relation: research_data status: public scopus_import: '1' status: public title: Large multiple sequence alignments with a root-to-leaf regressive method type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 37 year: '2019' ...