WP2: Algorithms for Sequence Analysis

Work Package Info:

Lead beneficiary: INESC-ID, Start month: 1, End month 48

Objectives:

  • O2.1: Share the expertise of INESC-ID and UH on biological sequence analysis and the expertise of UCHILE and UDC on the latest techniques for information retrieval tasks related to string analysis.
  • O2.2: Make new contributions in sequencing analysis to advance in both fields.
  • O2.3: Identify areas of future collaborative research between the partners in this research task.

Tasks:

  • T2.1: Review of the state-of-the-art in sequences analysis in the field of bioinformatics and information retrieval.
  • T2.2: Characterization of common tasks in both fields, especially related with string algorithms.
  • T2.3: Proposal of new algorithms and data structures, such as efficient algorithms for mutations or genetic diversity finding or new sequence aligners.
  • T2.4: Evaluation of proposed algorithms and data structures.

List of deliverables:

There is one deliverable for this WP consisting in a document that includes a previous study and research done during the project in sequences analysis in the field of bioinformatics and information retrieval.

Deliv. Number Deliverable Name Lead Beneficiary Dissemination Level Due Date (month) Status
D2.1 Final report of WP2 INESC-ID Public 48 Pending