Preface

In recent years, there is a growing interest in applying mathematical theories and meth-
ods (algorithms, combinatorics, codes, etc.) to describe and analyse scientific regularities
of massive, complex, and fast changing data produced via Next-Generation-Sequencing
technology. Various algorithms and data structures were devised to efficiently solve bioin-
formatics problems concerning comparing, searching, analysing, storing, compressing,
and modelling this kind of data. These sequences are characterised in being massive and
high-repetitive collections of nucleotides or amino acid sequences plus some metadata like
quality score values.
Following the success of the Royal Society meeting on the Storage and Indexing of Mas-
sive Data, held last year in Chicheley Hall, UK, this second meeting intended to gather
international researchers mainly from the fields of bioinformatics, computer science, and
mathematical as well as R&D industry fellows in order to present scientific papers or sur-
vey articles on the algorithmic advancements in Big Data technology.
In this edition, sponsored by the the Algorithms and Bioinformatics Group at the Infor-
matics Department of King’s College London, UK, and the Words and Automata Research
Group at Mathematics and Informatics Department of University of Palermo, Italy, 9 orig-
inal research papers have been accepted for presentation and an invited talk has been given
by Prof Filippo Mignosi, dealing with new mathematical theories, methodologies, algo-
rithms, and data structures for Big Data.
We thanks all the participants and also we wish to thank all the members of the Pro-
gram Committee for their collaboration in the reviewing process of the papers, and the
colleagues of the Organizing Committee for their resourceful cooperation.



April 2014                                            Costas S. Iliopoulos, Alessio Langiu




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