3 research outputs found
SUFAM v0.4.2
<p><strong>S</strong>o yo<strong>U</strong> think you <strong>F</strong>ound <strong>A</strong> <strong>M</strong>utation (<strong>SUFAM)</strong>? SUFAM reports the mutant allele fraction (MAF), read counts and coverage of a given variant or mutation in a SAM/BAM/CRAM file. It is a Python wrapper around <em>samtools mpileup</em> that makes it straightforward to determine the MAF of a given mutation. Parsing the output of <em>samtools mpileup </em>is error prone, while SUFAM has been rigorously tested to confirm it's correctness in a wide range of cases. A command line interface as well as a Python API are provided. The tool has proven to be immensely useful in a variety of cases e.g. validating called mutations from exome sequencing data in RNASeq data, confirming mutations in BAMs from The Cancer Genome Atlas (TCGA) and finding mutations in extremely low abundance in DNA sequencing data from blood plasma.</p
Additional file 2: of What are the factors associated with human immunodeficiency virus/sexually transmitted infection screening behaviour among heterosexual men patronising entertainment establishments who engaged in casual or paid sex? – Results from a cross-sectional survey in an Asian urban setting
Appendix II. Outcome, sociodemographic factors, HIV knowledge and sexual behaviour amongst heterosexual men by geographical site. (DOC 114 kb
Additional file 1: of Using qualitative and community-based engagement approaches to gain access and to develop a culturally appropriate STI prevention intervention for foreign female entertainment workers in Singapore
Table S1. Results of the estimated foreign female entertainment worker (FEW) population sizes using the census enumeration technique. (PDF 1054 kb