Local Ancestry in adMixed Populations
Registration Form and License Agreement


LAMP is a software package for the inference of locus-specific ancestry in recently admixed populations. It includes a few versions as described below.

LAMP-LD takes the genotypes of admixed individuals as well as reference haplotype panels approximating the mixing ancestral populations, and outputs the estimated number of alleles from each ancestry in each locus for each individual.

The LAMP-LD package also includes the program LAMP-HAP, which processes haplotype data when high-quality phasing is available, and utilizes trio nuclear family designs to improve estimation accuracy.

LAMP-LD is based on a window-based processing combined within a hierarchical Hidden Markov Model. It can process 2,3 or 5 mixing populations, and its short per-sample processing time makes it suitable for analyzing large datasets of dense SNP panels.

The description of the program can be found at: The original program LAMP does not use the LD and therefore is not as accurate, but it is useful in cases where the SNP density is not high enough or when the ancestral haplotypes are unkown. The description of the original version is described here: The new versions of LAMP (lamp-2.3 and later) use an improved modeling of the recombinations events, leading to a better accuracy for recently admixed populations where the ancestral populations are closely related (e.g., European Americans or Japanese-Chinese, etc.), in case the ancestral populations are known. These improvements are described in the paper: The latest version of the program LAMP (lamp-2.5) is using the same algorithm as lamp-2.3 but it includes a few bug fixes. Please check the manual for details.

Instructions:
  1. This software is freely available for academic use only. Users interested in commercial applications should contact Dr. Eran Halperin (Email: heran 'AT' icsi.berkeley.edu).
  2. Fill in the application form below. All fields are mandatory.
  3. Read the license agreement and make sure you agree with the terms of the agreement. If so click the Accept button at the end of the form.
Registration / Licensee Subscriber Information:

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Citation:

For citation purposes, we ask that you please cite Sankararaman et al if you use the unsupervised version of the method (i.e., the ancestral populations are not known), and please cite Pasaniuc et al., 2009 if you use the supervised version where the ancestral populations are known.

License Agreement:

The computer software known as LAMP (`LAMP' or `The Software') was created and developed in the course of research by Dr. Sriram Sankararaman, Dr. Bogdan Pasaniuc, Dr. Srinath Sridhar, Dr. Gad Kimmel, Dr. Michael Jordan, and Dr. Eran Halperin (`The Researchers') at the International Computer Science Institute, Berkeley (`ICSI'). ICSI encourages the use of LAMP by researchers in academic institutions (`Licensee') for non-commercial research purposes subject to the following terms and conditions: By pressing the `Agreed and Accepted' button, you and your institution agree to be bound by the terms below.

The computer software known as LAMP-LD and LAMP-HAP (`LAMP-LD' or `The Software') was created and developed in the course of research by Yael Baran, Dr. Sriram Sankararaman, Dr. Bogdan Pasaniuc, and Dr. Eran Halperin (`The Researchers') at the International Computer Science Institute, Berkeley (`ICSI') and at Tel-Aviv University ('TAU'). TAU and ICSI encourage the use of LAMP-LD by researchers in academic institutions (`Licensee') for non-commercial research purposes subject to the following terms and conditions: By pressing the `Agreed and Accepted' button, you and your institution agree to be bound by the terms below.

  1. Licensee is hereby granted a non-exclusive, non-transferable license to use LAMP and/or LAMP-LD for the sole purpose of performing non-commercial academic research. Such research shall not include research sponsored by a commercial entity.
  2. For the avoidance of doubt it is hereby clarified that the license to use LAMP and/or LAMP-LD as aforesaid does not include any obligation or undertaking to supply any accompanying services or improvements.
  3. Licensee agrees not to distribute or transfer LAMP and/or LAMP-LD or any portion, copies or derivatives thereof, to another location or to any third party.
  4. Licensee agrees not to make any copies except as necessary for his exercise of this license in his own laboratory. Any copy shall bear an appropriate copyright notice specifying the above-mentioned authors and proprietor.
  5. Licensee agrees not to decompile, reverse engineer, disassemble, modify and /or create derivative works of the software.
  6. Licensee acknowledges that LAMP and LAMP-LD are research tools, still in the development stage. Hence, it is not presented as error free, accurate, complete, useful, suitable for any specific application or free from any infringement of any rights. The Software is licensed AS IS, entirely at the Licensee's own risk.
  7. Nothing in this Agreement shall be deemed to be a warranty or representation by TAU, ICSI or the Researchers, in connection with LAMP and/or LAMP-LD and its use, including, without limiting the generality of the aforesaid, as to the accuracy, safety or fitness for any particular use.
  8. The software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, accuracy, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders of LAMP and/or LAMP-LD (including TAU, ICSI and the researchers) be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.


                       




This web-site is based upon work supported by the National Science Foundation under Grant No. 0513599. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.