{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T04:08:40Z","timestamp":1746331720409,"version":"3.40.4"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,26]]},"DOI":"10.1145\/3665689.3665736","type":"proceedings-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T17:02:34Z","timestamp":1719594154000},"page":"275-279","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["MMF-ATAC: A User-friendly Web Server for Multiple Motifs Finding on ATAC-seq Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4751-0708","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1835-5725","authenticated-orcid":false,"given":"Xiaotian","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Jilin University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3569-3785","authenticated-orcid":false,"given":"Haoming","family":"Da","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-5982","authenticated-orcid":false,"given":"Shuangquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Nanjing University of Science and Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2024,6,28]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International journal of experimental pathology.","author":"Latchman D.S.","year":"1993","unstructured":"Latchman, D.S. Transcription Factors: An Overview. International journal of experimental pathology. 1993, 74, 417."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1009941"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep08465"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0173997"},{"key":"e_1_3_2_1_5_1","volume-title":"ATAC-Seq: A Method for Assaying Chromatin Accessibility Genome-Wide. Current protocols in molecular biology","author":"Buenrostro J.D.","year":"2015","unstructured":"Buenrostro, J.D.; Wu, B.; Chang, H.Y.; Greenleaf, W.J. ATAC-Seq: A Method for Assaying Chromatin Accessibility Genome-Wide. Current protocols in molecular biology. 2015, 109, 21\u201329."},{"key":"e_1_3_2_1_6_1","volume-title":"ReMap 2018: An Updated Atlas of Regulatory Regions from an Integrative Analysis of DNA-Binding ChIP-Seq Experiments. Nucleic acids research","author":"Ch\u00e8neby J.","year":"2018","unstructured":"Ch\u00e8neby, J.; Gheorghe, M.; Artufel, M.; Mathelier, A.; Ballester, B. ReMap 2018: An Updated Atlas of Regulatory Regions from an Integrative Analysis of DNA-Binding ChIP-Seq Experiments. Nucleic acids research. 2018, 46, D267\u2013D275."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac572"},{"key":"e_1_3_2_1_8_1","volume-title":"Nature communications","author":"Bentsen M.","year":"2020","unstructured":"Bentsen, M.; Goymann, P.; Schultheis, H.; Klee, K.; Petrova, A.; Wiegandt, R.; Fust, A.; Preussner, J.; Kuenne, C.; Braun, T.; ATAC-Seq Footprinting Unravels Kinetics of Transcription Factor Binding during Zygotic Genome Activation. Nature communications. 2020, 11, 4267."},{"key":"e_1_3_2_1_9_1","volume-title":"Identification of Transcription Factor Binding Sites Using ATAC-Seq. Genome biology","author":"Li Z.","year":"2019","unstructured":"Li, Z.; Schulz, M.H.; Look, T.; Begemann, M.; Zenke, M.; Costa, I.G. Identification of Transcription Factor Binding Sites Using ATAC-Seq. Genome biology. 2019, 20, 1\u201321."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr064"},{"key":"e_1_3_2_1_11_1","volume-title":"Quantifying Similarity between Motifs. Genome biology","author":"Gupta S.","year":"2007","unstructured":"Gupta, S.; Stamatoyannopoulos, J.A.; Bailey, T.L.; Noble, W.S. Quantifying Similarity between Motifs. Genome biology. 2007, 8, 1\u20139."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.09.043"},{"key":"e_1_3_2_1_13_1","volume-title":"Motif Enrichment Analysis: A Unified Framework and an Evaluation on ChIP Data. BMC bioinformatics","author":"McLeay R.C.","year":"2010","unstructured":"McLeay, R.C.; Bailey, T.L. Motif Enrichment Analysis: A Unified Framework and an Evaluation on ChIP Data. BMC bioinformatics. 2010, 11, 1\u201311."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq049"},{"key":"e_1_3_2_1_15_1","volume-title":"Js: Up and Running: Building Accessible and Performant Web Apps","author":"Macrae C.","year":"2018","unstructured":"Macrae, C. Vue. Js: Up and Running: Building Accessible and Performant Web Apps; O'Reilly Media, Inc., 2018."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2010.145"},{"key":"e_1_3_2_1_17_1","first-page":"b374","article-title":"Assessing Deep Learning Methods","volume":"23","author":"Zhang S.","year":"2022","unstructured":"Zhang, S.; Ma, A.; Zhao, J.; Xu, D.; Ma, Q.; Wang, Y. Assessing Deep Learning Methods in Cis-Regulatory Motif Finding Based on Genomic Sequencing Data. Briefings in Bioinformatics. 2022, 23, bbab374.","journal-title":"Cis-Regulatory Motif Finding Based on Genomic Sequencing Data. Briefings in Bioinformatics"},{"key":"e_1_3_2_1_18_1","volume-title":"From Reads to Insight: A Hitchhiker's Guide to ATAC-Seq Data Analysis. Genome biology","author":"Yan F.","year":"2020","unstructured":"Yan, F.; Powell, D.R.; Curtis, D.J.; Wong, N.C. From Reads to Insight: A Hitchhiker's Guide to ATAC-Seq Data Analysis. Genome biology. 2020, 21, 1\u201316."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa943"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab337"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2022.0033"},{"key":"e_1_3_2_1_22_1","volume-title":"ATAC-Seq and Bisulfite-Seq Data. Nucleic acids research.","author":"Zou Z.","year":"2022","unstructured":"Zou, Z.; Ohta, T.; Miura, F.; Oki, S. ChIP-Atlas 2021 Update: A Data-Mining Suite for Exploring Epigenomic Landscapes by Fully Integrating ChIP-Seq, ATAC-Seq and Bisulfite-Seq Data. Nucleic acids research. 2022, 50, W175\u2013W182."}],"event":{"name":"BIC 2024: 2024 4th International Conference on Bioinformatics and Intelligent Computing","acronym":"BIC 2024","location":"Beijing China"},"container-title":["Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3665689.3665736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T02:48:40Z","timestamp":1746326920000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3665689.3665736"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,26]]},"references-count":22,"alternative-id":["10.1145\/3665689.3665736","10.1145\/3665689"],"URL":"https:\/\/doi.org\/10.1145\/3665689.3665736","relation":{},"subject":[],"published":{"date-parts":[[2024,1,26]]},"assertion":[{"value":"2024-06-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}