Thursday, 17 January 2013

Article: Fecal Microbiota Transplantation — An Old Therapy Comes of Age — NEJM

Fascinating!
Fecal Microbiota Transplantation — An Old Therapy Comes of Age — NEJM
http://www.nejm.org/doi/full/10.1056/NEJMe1214816?query=TOC&#article

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Wednesday, 9 January 2013

Article: Genomic basis for coral resilience to climate change


Genomic basis for coral resilience to climate change
http://www.pnas.org/content/early/2013/01/02/1210224110.short?buffer_share=f163c&rss=1


Different corals differ substantially in physiological resilience to environmental stress, but the molecular mechanisms behind enhanced coral resilience remain unclear. Here, we compare transcriptome-wide gene expression (via RNA-Seq using Illumina sequencing) among conspecific thermally sensitive and thermally resilient corals to identify the molecular pathways contributing to coral resilience
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Article: RIDDLE: Reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network


RIDDLE: Reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network
http://genomebiology.com/2012/13/12/R125/abstract

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Article: Structure-based whole genome realignment reveals many novel non-coding RNAs


Structure-based whole genome realignment reveals many novel non-coding RNAs
http://genome.cshlp.org/content/early/2013/01/07/gr.137091.111.abstract

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Saturday, 5 January 2013

Bowtie 2 2.0.5 released


Subject: [Bowtie-bio-announce] Bowtie 2 2.0.5 released

Bowtie 2 version 2.0.5  - January 4, 2013
  * Fixed an issue that would cause excessive memory allocation when aligning
    to very repetitive genomes.
  * Fixed an issue that would cause a pseudo-randomness-related assert to be
    thrown in debug mode under rare circumstances.
  * When bowtie2-build fails, it will now delete index files created so far so
    that invalid index files don't linger.
  * Tokenizer no longer has limit of 10,000 tokens, which was a problem for
    users trying to index a very large number of FASTA files.
  * Updated manual's discussion of the -I and -X options to mention that
    setting them farther apart makes Bowtie 2 slower.
  * Renamed COPYING to LICENSE and created a README to be GitHub-friendly.

Best,
Ben

--

Ben Langmead
Department of Computer Science
Johns Hopkins University
3400 North Charles St
Baltimore, MD 21218-2682

Friday, 4 January 2013

new version of IMPUTE2 (v2.3.0)


---------- Forwarded message ----------
From: "Jonathan Marchini" <marchini@ 2013 4:51 PM
Subject: [OXSTATGEN] new version of IMPUTE2 (v2.3.0)
To: <OXSTATGEN>
Cc:

> Hello,
>
> There is a new version of IMPUTE2 (v2.3.0) on the website:
>
> https://mathgen.stats.ox.ac.uk/impute/impute_v2.html
>
> There are several new features in this version:
>
> - IMPUTE2 now has a streamlined way to combine haplotypes from two reference panels and impute from the merged panel. For example, we have seen good results when merging 1000 Genomes haplotypes with sequenced haplotypes from other cohorts to form a combined reference panel. This feature provides accurate imputation of variants that are specific to each panel while maintaining accuracy at variants that are shared across panels. You can read the details of our approach at https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#merging_panels.
>
> - To make the panel-merging as flexible as possible, we now allow the -k_hap parameter to take separate values for each of two reference panels. In essence, you can specify the number of "useful" haplotypes in each reference panel, then IMPUTE2 will take this information into account when merging the reference panels and imputing genotypes in your study. This feature is described here: https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#-k_hap.
>
> - We have added important documentation, such as a detailed description of how IMPUTE2 creates the concordance tables that are printed at the end of most runs: https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#concordance_tables.
>
> - We fixed some bugs that were present in v2.2.2:
> -- The program used to throw an error when the -use_prephased_g and -chrX flags were combined; now these options are compatible.
> -- You can get phased imputation output by combining the -use_prephased_g and -phase flags, but previously the phasing of hets in the input file (-known_haps_g) was scrambled in the output; this is now fixed.
> -- Another problem with combining the -use_prephased_g and -phase flags is that Type 3 SNPs (those present in the -known_haps_g file but not the reference panel) were omitted from the output haplotypes; now these SNPs are included in the output by default.
> -- Annotations in the reference legend file (columns 5+) used to be restricted to numeric values, but now the program can handle string values as well. This extends the flexibility of the -filt_rules_l mechanism for run-time filtering of reference variants.
>
> - IMPUTE2 can now be made even more accurate by pre-phasing your study genotypes with SHAPEIT2 [ http://www.shapeit.fr/ ], which combines ideas from SHAPEIT and IMPUTE2 to improve the accuracy and efficiency of haplotype estimation. You can read the SHAPEIT2 article here: http://www.nature.com/nmeth/journal/v10/n1/full/nmeth.2307.html.
>
> - We have redesigned the website to make it easier to navigate.
>
> We are still actively improving some of the new features, and we anticipate making another software release in the next few months. In the meantime, we would be happy to hear your feedback about the new software and website.
>
> Happy imputing and Happy New Year!
>
> Bryan and Jonathan
>
> --
>   o__     Jonathan Marchini
>  c/ /'_   Department of Statistics, University of Oxford
> (+) \(+)  1 South Parks Road, Oxford, OX1 3TG
>

http://www.stats.ox.ac.uk/~marchini/
>

Tuesday, 1 January 2013

PLOS Computational Biology: Ten Simple Rules for the Open Development of Scientific Software

http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002802

If you have the choice, embracing an open approach to development has tremendous benefits. It allows you to build on the work of other scientists, and enables others to build on your own efforts. To make the development of open scientific software more rewarding and the experience of using software more positive, the following ten rules are intended to serve as a guide for any computational scientist.

Datanami, Woe be me