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Two hundred twenty-five unrelated males were typed for 7 over 8 loci Y-chromosome STRs proposed in a collaborative study by The Spanish and Portuguese ISFG Working Group. The markers amplification were in two multiplex reactions GEPY I with GATA C4, DYS438, DYS437, DYS461 (GATA A7.2) and GEPY II with GATA H4, DYS439, GATA A10 and DYS460 (GATA A7.1). All gene diversities were upper 0.5 with the highest value in DYS439 with 0.64. Furthermore, 152 haplotypes from 7 loci Y-chromosome STRs were found within studied population and a high haplotype diversity 0.9902 was found. The DYS460 (GATA A7.1) marker can not be studied because its diverse alleles were not able for interpret. [Copyright &y& Elsevier]

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Three hundred and twenty-six to four hundred and fifty-one individuals were typed for 12 STR markers and revealed by silver stain method and assisted by a computer analysis. Forensic and Hardy–Weinberg values were found. The Kodak ds 1D Image Analysis Software V 2.0.3 EDAS DC 120 System was a useful tool for determining the correct size of pattern bands that were out allelic ladders, alleles 18 and 17 from F13A01, 15 from TPOX and 4 from TH01 were determined by this method and some corroborated by automatic analysis. [Copyright &y& Elsevier]

A Colombian population was typed for 12 STRs by silver stain method. Initial routine was extended from 9 to 12 STR loci for increasing forensic values in paternity testing, new multiplex developed decreased significantly Probability of Match (PM) and increased power of exclusion. Kodak 1D Image Analysis Software was used for assigning allele out-ladders with analysis of their correct molecular sizes. [Copyright &y& Elsevier]

Bioinformatics emerged about 50 years ago, but it was developed greatly during the early 1980s by robust databases such as GenBank, EMBL, and DNA Database of Japan (DDBJ). Bioinformatic routines were rapidly adapted once the main algorithms for sequence analysis became available worldwide. As in other science fields, bioinformatics had minimal impact in low-income countries of Latin America until the last decade. We revised the bioinformatics state of art in Colombia and found a few bioinformatics groups carrying out basic computational biology research. Nowadays, bioinformatics in Colombia has a hopeful scenario thanks to recent science policies adopted by the Colombian Government. Such policies have been adopted in order to establish a new model of sustainable scientific research. In this brief report we revise the bioinformatics state of the art in Colombia. Finally, we conclude with some considerations for the proposed science model and we describe different perspectives of interest for the Colombian scientific community.