Steering committee

Dan Gusfield UC Davis, USA
Ion MandoiuUConn, USA
Yi Pan (Chair) SIAT, China and GSU, USA
Marie-France Sagot INRIA, France
Zhirong Sun Tsinghua, China
Ying Xu UGA, USA
Aidong Zhang SUNY, USA
Zhipeng Cai GSU, USA

General Co-Chairs

Michal Malewicz PORT, Poland
Alexander Zelikovsky GSU, USA

Vice General Chair

Tianwei Yu The Chinese University of Hong Kong – Shenzhen

Program Co-Chairs

Xuan Guo UNT, USA
Murray Patterson UConn, USA
Serghei Mangul University of Southern California (USC), USA

Publicity Chairs

Olga Glebova GSU, USA

Local Arrangement Chair

Michal Malewicz PORT, Poland

Web Chair

Grigore Boldirev GSU, USA

The conference program you can find on the main website.

1. Michael Souza, Nilton Maia and Carlile Lavor. The Ordered Covering Problem in Distance Geometry
2. Gabriel Siqueira, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Géraldine Jean, Guillaume Fertin and Zanoni Dias. Approximating Rearrangement Distances with Replicas and Flexible Intergenic Regions
3. Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca Steorts, Daniel Weinberg, Sartaj Sahni and Sanguthevar Rajasekaran. On Computing the Jaro Similarity Between Two Strings
4. Guy Katriel, Udi Mahanaymi, Christoph Koutschan, Doron Zeilberger, Mike Steel and Sagi Snir. Using Generating Functions to Prove Additivity of Gene-Neighborhood Based Phylogenetics
5. Sumaira Zaman and Mukul S. Bansal. Reducing the impact of domain rearrangement on sequence alignment and phylogeny reconstruction
6. Huixiu Xu, Xin Tong, Haitao Jiang, Lusheng Wang, Binhai Zhu and Daming Zhu. On Sorting by Flanked Transpositions
7. Enrico Rossignolo and Matteo Comin. USTAR: Improved Compression of k-mer Sets with Counters Using De Bruijn Graphs
8. Ming Chen, Bin Yao, Xiujuan Lei, Chunyan Ji, Zitao Hu and Yi Pan. Predicting Comprehensive Drug-Drug Interactions by Magnetic Signed Graph Neural Network
9. Hui Feng, Guishen Wang and Chen Cao. BiRNN-DDI:A Drug-drug Interaction Event Type Prediction Model based on Bidirectional Recurrent Neural Network and Graph to Sequence Representation
10. Md. Tofazzal Hossain, Md. Selim Reza, Yin Peng, Shengzhong Feng and Yanjie Wei. PCPI: Prediction of circRNA and protein interaction using machine learning method
11. Wanyi Yang, Chuanfang Wu and Jinku Bao. PDFll: Intrinsic protein disorder and function prediction from the language of life
12. Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, Muhammad Shoaib, Khurram Bashir, Imdadullah Khan and Murray Patterson. Sequence-Based Nanobody-Antigen Binding Prediction
13. Ahtisham Fazeel, Muhammad Nabeel Asim, Johan Trygg, Andreas Dengel and Sheraz Ahmed. Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops
14. Boxin Guan, Anqi Wang, Yahan Li, Feng Li, Jin-Xing Liu and Junliang Shang. ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection
15. Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai and Juan Wang. scGASI: A graph autoencoder-based single-cell integration clustering method
16. Shuo Xu, Liping Kang, Xingyu Bi and Xiaohui Wu. Integrative analysis of gene expression and alternative polyadenylation from single-cell RNA-seq data
17. Mathieu Bolteau, Jérémie Bourdon, Laurent David and Carito Guziolowski. Inferring Boolean networks from single-cell human embryo datasets
18. Tai-Ge Wang, Xiang-Zhen Kong, Sheng-Jun Li and Juan Wang. CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-cell Type Identification
19. Zahra Tayebi, Akshay Juyal, Alex Zelikovsky and Murray Patterson. Simulating tumor evolution from scDNA-seq as an accumulation of both SNVs and CNAs
20. Haijing Luan, Taiyuan Hu, Jifang Hu, Ruilin Li, Detao Ji, Jiayin He, Xiaohong Duan, Chunyan Yang, Yajun Gao, Fan Chen and Beifang Niu. Multi-Class Cancer Classification of Whole Slide Images through Transformer and Multiple Instance Learning
21. Sarwan Ali, Usama Sardar, Imdadullah Khan and Murray Patterson. Efficient Sequence Embedding For SARS-CoV-2 Variants Classification
22. Sarwan Ali, Pin-Yu Chen and Murray Patterson. Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences
23. Yuxia Guan, Ying An, Fengyi Guo and Jianxin Wang. MPFNet: ECG Arrhythmias Classication Based on Multi-Perspective Feature Fusion
24. Sarwan Ali, Haris Mansoor, Prakash Chourasia and Murray Patterson. Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification
25. Yan Zhang, Xin Liu, Panrui Tang and Zuping Zhang. SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder
26. Hongyang Lei, Huazhen Huang, Bokai Yang, Guosheng Cui, Ruxin Wang, Dan Wu and Ye Li. TCSA: A Text-guided Cross-view Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning
27. Jordan Sturtz, Richard Annan, Binhai Zhu, Xiaowen Liu and Letu Qingge. A Convolutional Denoising Autoencoder for Protein Scaffold Filling
28. Prakash Chourasia, Taslim Murad, Sarwan Ali and Murray Patterson. Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection
29. Sarwan Ali, Prakash Chourasia and Murray Patterson. PDB2Vec: Using 3D Structural Information For Improved Protein Analysis
30. Ying An, Anxuan Xiong and Lin Guo. DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection
31. Lusheng Wang and Zhaohui Zhan. Proteoform identification for top-down tandem mass spectra: efficient algorithms for global and local alignments with peak error correction
32. Zhidong Yang, Hongjia Li, Dawei Zang, Renmin Han and Fa Zhang. SaID: Simulation-aware Image Denoising Pre-trained Model for Cryo-EM Micrographs
33. Jovial Niyogisubizo, Zhao Keliang, Jintao Meng, Yi Pan, Didi Rosiyadi and Yanjie Wei. Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-based Cell Segmentation in Microscopy Images
34. Ya Lv, Jin Liu, Pei Yang and Yi Pan. Multi-modality MRI Feature Interaction for Pseudoprogression Prediction of Glioblastoma
35. Shaokai Wang, Ming Zhu and Bin Ma. NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry
36. Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li and Yijia Zhang. Radiology Report Generation via Visual Recalibration and Context Gating-aware
37. André Salgado, Francisco Fernandes and Ana Teresa Freitas. CSA-MEM: Enhancing Circular DNA Multiple Alignment through Text Indexing Algorithms
38. Hafsa Farooq, Daniel Novikov, Akshay Juyal and Alex Zelikovsky. Genetic Algorithm with Evolutionary Jumps
39. Carissa Bleker, Stephen Grady and Michael A. Langston. A Brief Study of Gene Co-Expression Thresholding Algorithms
40. Hossein Saghaian, Pavel Skums, Yurij Ionov and Alex Zelikovsky. Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire
41. Huidong Ma, Cheng Zhong, Hui Sun and Haixiang Lin. ricME: long-read based mobile element variant detection using sequence realignment and identity calculation
42. Casper Asbjørn Eriksen, Jakob Lykke Andersen, Rolf Fagerberg and Daniel Merkle. Reconciling Inconsistent Molecular Structures from Biochemical Databases
43. Gatis Melkus, Sandra Siliņa, Andrejs Sizovs, Peteris Rucevskis, Lelde Lace, Edgars Celms and Juris Viksna. Clique-based topological characterization of chromatin interaction hubs
44. Jakob Lykke Andersen, Sissel Banke, Rolf Fagerberg, Christoph Flamm, Daniel Merkle and Peter F. Stadler. On the Realisability of Chemical Pathways
45. Rui Gao, Zixue Liu, Mei Meng and Jian He. Neurogenesis-associated Protein, a Potential Prognostic Biomarker in anti-PD-1 based kidney renal clear cell carcinoma patients’ therapeutics
46. Bikram Sahoo and Alex Zelikovsky. Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer
47. Bikram Sahoo and Alex Zelikovsky. Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms
48. Yulong Li, Hongming Zhu, Xiaowen Wang and Qin Liu. HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data
49. Jingjing Zhang, Md. Tofazzal Hossain, Zhen Ju, Wenhui Xi and Yanjie Wei. Identification and functional annotation of circRNAs in neuroblastoma based on bioinformatics
50. Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang and Jianxin Wang. Identifying miRNA-disease Associations based on Simple Graph Convolution with DropMessage and Jumping Knowledge
51. Sarah von Loehneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo Hofacker and Peter F. Stadler. Phylogenetic Information as Soft Constraints in RNA Secondary Structure Prediction
52. Rafał Stępień, Joanna Szyda, Bartosz Czech and Magda Mielczarek. The effect of transcriptomic annotations in breast cancer DGE study

Registration of participants: July 1 – September 30, 2023

Paper submission
Submission deadline July 12, 2023
Notification of acceptance August 11, 2023
Final version due August 20, 2023

Short Abstract Submission
Submission deadline August 20, 2023
Notification of acceptance August 22, 2023
Final version daue August 25, 2023

Late-Breakthrough Submission
Submission deadline September 8, 2023
Notification of acceptance September 11, 2023

Highlight Abstract Submission
Submission deadline September 8, 2023
Notification of acceptance September 11, 2023

Necessary information in payment process – if you choose the option of a bank transfer:

Payee’s name: Łukasiewicz Research Network – PORT Polish Center for Technology Development
Address: 147 Stabłowicka Street, 54-066 Wrocław
Account type: company
Bank: Santander Bank Polska SA
Bank address: Santander Bank S.A. al. Jana Pawła II 17, Warsaw Poland
Account number: 83 1090 2473 0000 0001 1937 5703
IBAN: PL83 1090 2473 0000 0001 1937 5703
BIC: WBKPPLPP

A matchmaking event is a quick and easy way to meet potential cooperation partners. Via b2Match platform one has a possibility to schedule short one to one meetings onsite (during conferece at PORT) or online. 20 minutes run fast, but they are enough to build first connections before the meeting ends and the next talk starts.

We cordially invite you to „Neuroscience meets Bioinformatics for Horizon Europe” matchmaking sessions  organized by the Industry Contact Point for Medical Technologies and Health. Sessions will take place on October 10-11, 2023, at PORT during ISBRA conference, as well as online until 18.10.2023. Matchmaking will allow participants to get to know each other and talk. Its goal is to strengthen collaboration by building project consortia and implementing joint interdisciplinary projects. Registration for the event lasts until October 10 via a dedicated form. Note please: when registering, your email is case-sensitive, so use only lowercase letters. If you have any questions, please contact Monika Ślęzak (monika.slezak@port.lukasiewicz.gov.pl) and Katarzyna Banyś (Katarzyna.banys@port.lukasiewicz.gov.pl).

Click here to see the conference program.