human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "twopaco an efficient algorithm to build the compacted de bruijn graph from many complete genomes"):
  Abstract: Motivation: De Bruijn graphs have been proposed as a data structure to facilitate the analysis of related whole genome sequences, in both a population and comparative genomic settings. However, current approaches do not scale well to many genomes of large size (such as mammalian genomes). Results: In this paper, we present TwoPaCo, a simple and scalable low memory algorithm for the direct construction of the compacted de Bruijn graph from a set of complete genomes. We demonstrate that it can construct the graph for 100 simulated human genomes in less then a day and eight real primates in less than two hours, on a typical shared-memory machine. We believe that this progress will enable novel biological analyses of hundreds of mammalian-sized genomes. Availability: Our code and data is available for download from github.com/medvedevgroup/TwoPaCo Contact: ium125@psu.edu

Includes members:
  Member "read mapping on de bruijn graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "indexing variation graphs")
  Member "a representation of a compressed de bruijn graph for pan genome analysis that enables search":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "survey and taxonomy of lossless graph compression and space efficient graph representations")
  Member "kmc 2 fast and resource frugal k mer counting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient construction of a complete index for pan genomics read alignment")
  Member "using cascading bloom filters to improve the memory usage for de brujin graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "survey and taxonomy of lossless graph compression and space efficient graph representations")
  Member "recursive n gram hashing is pairwise independent at best":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "practical evaluation of lempel ziv 78 and lempel ziv welch tries")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)